Washington State County Population Projections for Growth ...

WASHINGTON STATE COUNTY POPULATION PROJECTIONS FOR GROWTH MANAGEMENT BY AGE AND SEX:

2000-2025

JANUARY 2002 PROJECTIONS

Contents Overview ....................................................................................................................... iii CHAPTER 1

State Population Projection: 2000-2030 ..................................................................... 1 Methodology and Components of Population Change .............................................. 3

CHAPTER 2

County Population Projections: 2000-2025................................................................ 9 Methodology and Components of Change ................................................................ 9 State and County Growth Profiles............................................................................ 17 Appendix ...................................................................................................................... 99 Data Concepts ....................................................................................................... 101 Historical Data ....................................................................................................... 102 Population Age 65 and Over.................................................................................. 108 Growth Management Act Statute........................................................................... 112

i

OFFICE OF FINANCIAL MANAGEMENT

ii

Overview

P

ursuant to RCW 43.62.035, this document contains county population projections prepared by the Office of Financial Management (OFM) for growth management planning. State and county population are provided at five-year intervals between 2000 and 2010, and single year intervals from 2010 through 2025. The additional single year intervals were developed to accommodate the various Growth Management Act (GMA) planning targets required by counties. The GMA projections presented, similar to the set released in 1995, provide high, intermediate, and low growth expectations for each county. Counties may select a growth management planning target within the high and low projection alternatives. This was one of the amendments to RCW 43.62.035 in 1995. Counties may also petition OFM and request changes if population growth should change enough to likely fall outside these long range expectations. These county projections are developed within the framework of the November 2001 state population projection, and state projection of births, deaths, and migration. Total populations and components of change from the county projections are compared and reconciled with the state population projection for each five-year time interval throughout the projection period. Independently developed county projections, using the same method and similar assumptions, may not match these projections because independent expectations for births, deaths, and migration for individual counties are not reconciled to the state total.

Acknowledgements The Forecasting Division of the Office of Financial Management prepared this report. Primary staff responsible for the GMA projections was Theresa J. Lowe and Donald B. Pittenger. Staff assisting with this project and publication was Yi Zhao, Lawrence Weisser, and Diana Brunink. Special thanks are expressed to the many local and regional officials and staff who assisted in providing data and review of the projections through several development phases. Additional appreciation is also expressed to the state and regional transportation planning staff and the economic development council representatives who also participated in providing data and/or review functions. It is hoped that with the contributions of many individuals and agencies, these projections will better serve growth management and other planning purposes. Any questions regarding this publication should be directed to the Forecasting Division at (360) 902-0599.

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iv

Chapter 1

Washington State Population Projection: 2000-2030

rowth management county projections are developed within the framework of expected state population growth through the year 2025. Washington’s population has increased by about 20 percent per decade from 1960 through the year 2000—adding a total of 1,027,000 over the 1990s. State growth, which slowed in the late 1990s, modestly rebounded from an annual change of 63,000 for 1999-00 to 80,800 for 2000-01. Growth, however, is expected to slow to between 65,000 to 67,000 per year through 2005 and then gradually increase to 88,000 annually by 2009-10.

G

Washington State shows strong historical population growth. Forecast growth is in line with historical experience

9,000,000 8,000,000 7,000,000 6,000,000 5,000,000

Forecast

4,000,000 3,000,000 2,000,000 1,000,000 0 1870

1890

1910

1930

1950

1970

1990

2010

2030

Year OFM FORECASTING DIVISION

NOVEMBER 2001

However, given the contraction of the dot-com economic sector, transfer of the Boeing company headquarters to Chicago in 2000, aerospace employment reductions, and the continuing economic ramifications of the terrorist attack on the World Trade Center on September 11, 2001—near-term population growth in Washington is uncertain. Even long-term growth trends might be expected to deviate from historical experience. Current high and low growth alternatives for the state have more variation than in prior forecasts. The following sections discuss the specific components of population change at the state level historically and in the November 2001 OFM projections that serve as controls for the intermediate county projection series. 1


Population and Components of Population Change: 1990 to 2030 Population At End Of Period

Population Change Number Percent

- - - - - - - - Components of Change from Previous Period - - - - - - - Births Deaths Natural Net Migration Number Rate Number Rate Increase Number Rate

1990-1991 1991-1992 1992-1993 1993-1994 1994-1995 1990-1995

5,021,335 5,141,177 5,265,688 5,364,338 5,470,104

154,643 119,842 124,511 98,650 105,766 603,412

3.18 2.39 2.42 1.87 1.97

79,076 80,236 79,077 78,194 77,453 394,036

15.99 15.79 15.20 14.71 14.30

36,575 37,160 39,353 39,535 39,957 192,580

7.40 7.31 7.56 7.44 7.38

42,501 43,076 39,724 38,659 37,496 201,456

112,142 76,766 84,787 59,991 68,270 401,956

22.68 15.11 16.29 11.29 12.60

1995-1996 1996-1997 1997-1998 1998-1999 1999-2000 1995-2000

5,567,764 5,663,763 5,750,033 5,830,835 5,894,121

97,660 95,999 86,270 80,802 63,286 424,017

1.79 1.72 1.52 1.41 1.09

77,008 78,035 78,828 79,758 79,853 393,482

13.95 13.90 13.81 13.77 13.62

41,152 42,632 41,564 43,145 43,743 212,236

7.46 7.59 7.28 7.45 7.46

35,856 35,403 37,264 36,613 36,110 181,246

61,804 60,596 49,006 44,189 27,176 242,771

11.20 10.79 8.59 7.63 4.64

2000-2001 2001-2002 2002-2003 2003-2004 2004-2005 2000-2005

5,974,900 6,042,622 6,100,856 6,165,683 6,233,345

80,779 67,722 58,234 64,827 67,662 339,224

1.37 1.13 0.96 1.06 1.10

81,381 81,336 81,980 82,675 83,444 410,816

13.71 13.54 13.50 13.48 13.46

43,963 45,614 46,146 46,848 47,582 230,153

7.41 7.59 7.60 7.64 7.68

37,418 35,722 35,834 35,827 35,862 180,663

43,361 32,000 22,400 29,000 31,800 158,561

7.31 5.33 3.69 4.73 5.13

2005-2006 2006-2007 2007-2008 2008-2009 2009-2010 2005-2010

6,308,847 6,388,804 6,473,698 6,560,472 6,648,112

75,502 79,957 84,894 86,774 87,640 414,767

1.21 1.27 1.33 1.34 1.34

84,431 85,750 87,281 88,927 90,500 436,889

13.46 13.51 13.57 13.65 13.70

48,229 48,893 49,587 50,253 50,960 247,922

7.69 7.70 7.71 7.71 7.72

36,202 36,857 37,694 38,674 39,540 188,967

39,300 43,100 47,200 48,100 48,100 225,800

6.27 6.79 7.34 7.38 7.28

2010-2011 2011-2012 2012-2013 2013-2014 2014-2015 2010-2015

6,736,491 6,825,645 6,915,483 7,005,902 7,096,501

88,379 89,154 89,838 90,419 90,599 448,389

1.33 1.32 1.32 1.31 1.29

92,037 93,603 95,113 96,558 97,644 474,955

13.75 13.80 13.84 13.87 13.85

51,758 52,549 53,375 54,239 55,145 267,066

7.73 7.75 7.77 7.79 7.82

40,279 41,054 41,738 42,319 42,499 207,889

48,100 48,100 48,100 48,100 48,100 240,500

7.19 7.09 7.00 6.91 6.82

2015-2016 2016-2017 2017-2018 2018-2019 2019-2020 2015-2020

7,187,004 7,277,229 7,367,097 7,456,504 7,545,269

90,503 90,225 89,868 89,407 88,765 448,768

1.28 1.26 1.23 1.21 1.19

98,526 99,262 99,961 100,623 101,160 499,532

13.80 13.73 13.65 13.58 13.49

56,123 57,137 58,193 59,316 60,495 291,264

7.86 7.90 7.95 8.00 8.07

42,403 42,125 41,768 41,307 40,665 208,268

48,100 48,100 48,100 48,100 48,100 240,500

6.74 6.65 6.57 6.49 6.41

2020-2021 2021-2022 2022-2023 2023-2024 2024-2025 2020-2025

7,633,132 7,720,124 7,806,203 7,891,332 7,975,471

87,863 86,992 86,079 85,129 84,139 430,202

1.16 1.14 1.11 1.09 1.07

101,581 102,041 102,532 103,068 103,610 512,832

13.38 13.29 13.21 13.13 13.06

61,818 63,149 64,553 66,039 67,571 323,130

8.15 8.23 8.32 8.41 8.52

39,763 38,892 37,979 37,029 36,039 189,702

48,100 48,100 48,100 48,100 48,100 240,500

6.34 6.27 6.20 6.13 6.06

2025-2026 2026-2027 2027-2028 2028-2029 2029-2030 2025-2030

8,058,527 8,138,103 8,219,251 8,299,448 8,378,813

83,056 79,576 81,148 80,197 79,365 403,342

1.04 0.99 1.00 0.98 0.96

104,120 104,703 105,401 106,222 107,138 527,584

12.99 12.93 12.89 12.86 12.85

69,164 73,227 72,353 74,125 75,873 364,742

8.63 9.04 8.85 8.97 9.10

34,956 31,476 33,048 32,097 31,265 162,842

48,100 48,100 48,100 48,100 48,100 240,500

6.00 5.94 5.88 5.82 5.77

1,138,331

1,346,361

2000-2030

2

2,484,692

2,862,608

1,724,277

WASHINGTON STATE COUNTY POPULATION PROJECTIONS

Methodology and Components of Population Change

The state population is projected using a version of the standard “cohort-component” approach “Cohort-component” simply means that population is disaggregated into age-gender groups and moved forward in time using specific assumptions for births, deaths, and migration for each projection interval. The state forecast model moved the population forward year by year. The state forecast developed and released in November 2001 provides the framework for the GMA county projections released in January 2002 and provided in this publication. The state forecast is typically projected over a 30-year period, which is apparent in the tables and graphs presented in this section. The county projections are provided from 2000 through 2025. The components of population change are births, deaths, and migration. The excess of births over deaths is called natural increase. Persons moving to Washington (inmigration) less persons leaving the state (outmigration) results in net migration. The components of population change are shown for 1990 through 2030. Births from 1990 through 2000 are actual vital events. Natural increase will continue to be an important contributor to state growth

120,000

Natural Increase = Births - Deaths 100,000 80,000

Births

60,000 40,000 20,000

Forecast

Deaths

0 1920

1930

1940

1950

1960

1970

1980

1990

2000

2010

2020

2030


NOVEMBER 2001

Fertility is forecast by assuming that Washington’s birth rates will track closely with national birth rates as a whole, though remaining at slightly higher levels based on historical experience. Historic fertility levels in Washington, as in the nation, have followed a roller coaster pattern. However, since the mid-1980s the state’s total fertility rate (TFR)—the average number of births per woman—has remained relatively constant. The average number of births per woman is actually a hypothetical value. It is the average lifetime births expected by a group of women if they followed the age-specific birth rates for a given year.

3


Actual birth levels in Washington increased and then stabilized as the Baby Boom generation aged to have children. Births are expected to rise again as this new bulge of youngsters reach adulthood and begin their families. Thus, even though total fertility is expected to remain relatively constant, changes in the number of women of childbearing age will continue to cause some fluctuation in fertility levels. The following outline shows some of the historic fertility peaks and valleys. Average Number of Births Per Woman

Number of Annual Births

Year

Social and Economic Climate

1933 1957 1975

Bottom of the Depression 20,800 Peak of Baby Boom, economic prosperity 65,900 Increases in working women, increased 49,500 age at first marriage, and delayed childbearing. Children of the Baby Boomers reach 68,000 to 71,000 adulthood. Slight rise in fertility rates, delayed first/or 79,000 to 80,000 second births recognized. Modest fluctuations in fertility levels, down 77,000 to 79,800 and then up. Fewer women in peak childbearing age. ----------Forecast---------Forecast follows U.S. Census Bureau Births gradually national forecast assumptions. No major increase from 80,000 changes in average births per woman. to 107,000 by 2030

1980s Early 1990s Late 1990s to 2000

2001-2030

1.6 3.7 1.7

1.8 to 2.0 2.0 to 2.04 1.93 to 1.97

1.97 to 2.07

Number of births per woman is expected to be low but a large number of women will have children between 1990 and 2030. 120,000

4.00 Births 3.50

TFR

100,000

3.00 80,000

2.50

60,000

2.00 1.50

40,000

Forecast

20,000

0.50

0 1920

1.00

0.00 1930

1940

1950

1960

1970

1980

1990

2000

2010

2020

2030


4

NOVEMBER 2001


If women were currently having children at birth rates comparable to the Baby Boom years— births would total 145,000 births per year. By the year 2030 there would be nearly 200,000 births per year. There is no indication that high fertility rates will return—not given the high level of women’s participation in the labor force, delayed marriage, and delayed childbearing after marriage. Mortality expectations over the projection period are also based on the most current Bureau of the Census national mortality trends, adjusted for the difference between Washington and national mortality. In the nation as a whole, and in Washington, the first half of the 1900s saw dramatic improvements in nutrition and health care that reduced infant deaths and markedly increased life expectancy. After that time, gains in infant health and life expectancy continued, but at a slower pace. Infant death rates are now quite low. Bureau of the Census research indicates that from the late 1990s forward no medical breakthroughs are anticipated that will greatly increase life expectancy. Gains in life expectancy are expected to come from improved maternal health care, lifestyle changes, and treatment of hypertension. The following outline shows improvements in life expectancy over time and future expectations.

Year 1920s

1960

1980 Late 1990s and 2000 2005

2015 2025

Number of Annual Deaths 15,000

Infant Mortality/Comments Large proportion of deaths to infants in first year of life—approximately 56 per 1,000. Major advances in nutrition and 26,500 medicine occurred between 1920 and 1960. Infant mortality reduced to 23 per 1,000. Infant mortality reduced to 12 per 32,000 1,000. Large improvements in life expectancy 43,000 to 43,700 unlikely. Infant mortality 8 per 1,000. ----------Forecast---------Forecast follows U.S. Census Bureau recent national forecast assumptions. Slow improvements

Life Expectancy in Years Male Female 58

60

68

75

72

79

74

80

75

81

76 77

82 83

Migration is the most variable component of population change and is largely an economic phenomenon relating push and pull factors. Migration usually varies according to economic conditions in Washington relative to other states. Some migration, such as military movements or the migration of retired persons, is not driven by economic factors.

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Net migration is a major contributor to population change in Washington State.

170,000

Forecasts

Estimates

150,000

Population Change

130,000

Net Migration

110,000 90,000 70,000 50,000 30,000 10,000 -10,000 -30,000 1970

1975

1980

1985

1990

1995

2000

OFM FORECASTING DIVISION

2005

2010

2015

2020

2025

2030

NOVEMBER 2001

Annual migration is developed separately for three time periods: (1) historical and current estimates, (2) near term projections, and (3) long term projections. Year (s)

Method

19902000

Provisional Intercensal Estimates

2001 20012005

Provisional Estimate Near Term Projection

20062008 20092030

Transition Period Long Term Projection

6

Distinguishing Characteristics Of Method Decade population change from census counts with estimates of annual change based on actual change in symptomatic data Developed from provisional change based on one variable Regression model relating net migration to the state’s near term relative economic performance.

Developed from the regression model and historical migration trends. Results expressed as average annual migration.

Data and Assumptions (if applicable) School enrollment and housing

School enrollment in Component Method II estimate method Employment forecasts from the Economic and Revenue Forecast Council (Sept. 2001) adjusted for aerospace employment reductions and October 2001 DRI-WERA forecasts for the U.S. and California. Washington’s traded sector job growth becomes weaker than the US and California for some years due the slowdown in high tech manufacturing and a decline in aerospace employment. Three-year transition period blending the near term and long term projection Long-term employment forecasts. Washington’s traded sector and producer services employment is expected to outperform the US and California.


Comparison of actual and predicted net migration using OFM’s model, 1970-2002 Residuals

130.00

Actuals

110.00

Fitted

90.00 70.00 50.00 30.00 10.00 -10.00 -30.00

1970 1970 1980 1980 1980 1990 1990 1990 1990 2000 2000


NOVEMBER 2001

Projected migration is modeled with econometric techniques that integrate economic performance expectations with population outcomes by quantitatively relating changes in traded sector employment to net migration. Briefly, the model specifies that the civilian net migration level is determined by four factors: ·

The relative growth of “traded sector” employment in Washington State to that in the U.S. as a whole.

·

The relative growth of “traded sector” employment in Washington State to that in California.

·

The U.S. unemployment rate.

·

A national recession indicator.

“Traded” industry sectors are those that “export” goods and services. They include manufacturing, federal civilian government, and producer services (services purchased by businesses). Changes in state traded sector employment are closely associated with varying levels of net migration over time. The forecast input data comes from OFM’s long-term forecast of the state traded sector employment, the Office of Forecast Council’s (OFC) short-term economic forecast for the state, and the DRI-WEFA’s economic forecast for the U.S. and California. Input data for 2001 are the DRI-WEFA’s October 2001 U.S. forecast, so the impact of the September 11 terrorist attacks on

7


the economy is taken into account. OFC’s employment forecast is adjusted to reflect 25,000 job cuts by Boeing, Boeing contractors, and other aerospace employers. The slowdown in net migration gains for Washington—through 2005—could have been somewhat steeper given expected employment losses. The slowdown was dampened, however, by an expected economic contraction in the California economy that would reduce California’s attraction to potential Washington movers. Assumptions in long term employment expectations that determine migration for the intermediate series are specified in more detail below. ·

Washington is expected to out-perform the U.S. in the growth of the traded sector employment. This makes Washington an attractive place, economically speaking, for potential migrants.

·

Growth in manufacturing employment in Washington is expected to perform better than in the U.S. and California. The forecasts for California and the U.S. show a long-run decline in manufacturing employment. In Washington, manufacturing employment is predicted to maintain a small but positive rate of growth. Historically, manufacturing employment in Washington, excluding aerospace and lumber and wood products, has always grown faster than in the U.S. This trend is expected to continue.

·

Employment growth in producer services in Washington is expected to perform better than the U.S. producer services employment in the early years of the forecast. Historically, Washington has experienced significantly faster employment growth in producer services than the U.S. This is expected to continue with the difference declining. In the last ten years of the forecast period, the producer services sector in Washington is projected to grow at about the same rate as the U.S.

·

Employment growth in federal civilian government employment in Washington will decline modestly in the near term, but not as much as in California or the U.S. Washington has come out of the federal government and military reductions better than most states. Defense spending and some military cuts have occurred, but there have been no major base closures, and the Everett Home Port has been completed. After the year 2000, Washington is expected to follow the national trend in terms of reductions in federal civilian employment.

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Chapter 2

County Population Projections: 2000 to 2025

T

hree sets of county population projections are provided: a high series, an intermediate series, and a low series. The high and low series generally reflect assumptions as to the uncertainty regarding growth over the next 25 years. These assumptions are based on the historical high and low decade migration patterns for each county and on current factors affecting the economic base and attractiveness of specific areas in the state. The alternative series are a means of taking the fundamental unpredictability of long-range projections into account. Methodology and Components of Population Change County projections are developed using a version of the standard “cohort-component” approach to projecting population as discussed in the state methodology section. “Cohort-component” simply means that populations are disaggregated into age-sex groups and moved forward through time using specific rates of fertility, mortality and migration for each projection interval. In the present case for the county projections, the age ranges and projection intervals are both five years. Annual rates for single-year age ranges are simply too variable to use for populations of less than 500,000.

2000 Average Births per Woman Whitman Kittitas Columbia King San Juan Whatcom Thurston Spokane Walla Walla Washington Ferry Snohomish Pierce Asotin Kitsap Pacific Clallam Jefferson Grays Island Skagit Mason Clark Wahkiakum Cowlitz Benton Stevens Douglas Lewis Skamania Garfield Pend Oreille Lincoln Chelan Klickitat Okanogan Yakima Grant Adams Franklin

Middle series county projections are developed within the framework of the previously discussed state projection. County populations and components of population change were compared and reconciled to the statewide age-sex, birth, death, and net migration projections for each five-year interval from 2000 to 2025. Please note that independently developed county projections using the same methods and assumptions might not match the 0 0.5 1 1.5 2 2.5 3 present projected data due to the effects of the reconciliation process. Annual county projections are derived by interpolation between the interval endpoints and then forcing county data to sum to the state projection that is developed on a single year basis.

9

3.5


Fertility rates at the county level are generally assumed to increase very slightly over the projection period. This is consistent with the state level assumption that parallels the most recent Census Bureau forecast of U.S. fertility. Maintaining each county’s unique fertility pattern plays a primary role in determining future growth. However, forcing county level births to sum to state totals, plus other adjustments, prevents complete compliance for some counties. Some exceptions are counties experiencing very high birth rates due to large Hispanic populations. Since most all immigrant populations tend to assimilate over time, the high fertility rates in these counties are assumed to decline slightly through 2025. Affected counties include Adams, Franklin, Grant, and Yakima. Mortality rates are based on vital statistics through 2000. A common set of death rates is developed for all counties based on the statewide life tables. Future life expectancy follows the U.S. Census Bureau’s expectations with adjustment for historical differences with Washington. Male life expectancy at birth is assumed to increase from its 2000 value of 74 years to 77 years by 2025. Female life expectancy is expected to increase from 80 years to 83 years over the same period. County mortality differences are hard to measure accurately for most counties due to small population bases. Life tables only tend to be reliable for counties of 500,000 persons or more. Thus, state life table death rates are used for all the counties. This is not considered a technical problem because variations in mortality tend to be small among the counties. Fertility and migration are considerably more variable and it is the birth and migration assumptions that have the largest impact on growth. Migration is the most variable component of population change. The intermediate county projections are based on a set of broad propositions that relate to migration as the main driver of population change for the state and counties. Decade migration patterns for each county from 1960 through 2000 are also used to project future migration. Washington and its counties, as can be seen in various tables and graphs in this publication, have tended to exhibit growth spurts interrupted by periods of slower growth, stagnation, and sometimes even decline. Furthermore, these spurts are not uniform in time and space. One example is the well-known “Boeing Bust” of the early 1970s that affected the central Puget Sound area. Some other parts of the state experienced rapid growth during the same period. These revised projections incorporate the impact of a “rural rebound” growth trend experienced by most of the western states in the early 1990s. It was an exodus of two million people leaving California during a severe economic recession that caused this trend. Rural and nonmetropolitan growth in Washington during the early 1990s was far greater than anticipated, but quickly slowed as California’s economy recovered in the mid-1990s. History shows us that growth spurts or contractions usually do not last long. Such a situation creates uncertainty, and alternative projections are a solution. While the intermediate population projection is assigned the distinction of reflecting the most likely trend—most near term growth, for most counties, is not expected to track “right on” the intermediate expectations. Population growth is simply not likely to follow any single set of numbers. Growth will most likely be somewhat higher, or lower—or both higher and lower over the long term. 10


Aside from the near term growth in the state model, no attempt is made to predict the timing and magnitude of spurts. Recent growth patterns are blended into general tendencies. General tendencies are based on (1) 1960-2000 trends in relative population growth, and (2) a set of assumptions that is both grounded in past experience and which seems reasonable, given what is known about the economic, demographic, and social character of each of the 39 counties. These assumptions are: ·

Major growth, in terms of numbers, if not rates, will be through accretion of existing population centers. Rates of growth will be smaller (or potentially negative) at the centers and high on the periphery.

·

This accretion will occur along existing transportation corridors and spurs, primarily the interstate highways and similar roadways.

·

Non-corridor growth has been happening due to inmigration of retirees and perhaps telecommuters. This is expected to continue for counties where sustained historical growth has been recorded.

·

Counties that are remote, and that have inconsistent growth histories, are assumed to have lower prospects for substantial future growth despite population jumps in the early 1990s.

The “population centers” noted above are Seattle, Spokane, Yakima, Tri-Cities, and Portland. Growth assumptions for individual counties are largely manifested in the migration numbers presented in the tables. In practice, the assumptions are not rigidly applied. They serve as guidelines for modifying various migration and population share trends out towards the projection horizon It should be noted that detailed migration data by age and gender from Census 2000 will not be released until mid-2002 and therefore could not be incorporated in the revised projections. However, OFM’s treatment of migration includes several noteworthy technical features. One is that special in/out -migrating populations related to the presence of colleges, military facilities, prisons, and mental hospitals are handled separately from other migrants for counties that are significantly impacted by such populations. Population pyramids for each county were examined to ensure that the age-sex characteristics of all counties, and particularly those with colleges, correctional facilities, or other special populations, were successfully carried forward through 2025. High and Low Projection Alternatives. GMA specifications require that county projections be expressed as a “reasonable” range developed within the state high and low projection series. State high and low projections are based on probable economic and other assumptions. State growth assumptions do not carry forward extreme economic conditions or other factors that have resulted in relatively short periods of extremely high population gains or losses. County projection growth ranges, developed within the state framework, were established on the same general basis and show moderate variations.

11


County high and low projection alternatives reflect uncertainty bands. They are not, in a formal sense, alternative scenarios. In general, the uncertainty band will be larger for smaller counties than large ones. It will be larger for faster growing than slower growing areas. It will be larger for counties with erratic growth in the past and smaller for counties that have had steadier growth. It will be larger for counties that may be impacted by changes in variable military, college, correctional, or other special populations. Both series sum to statewide low and high projections similar to the intermediate series. Annual projections for the years 2010 through 2025 are provided to accommodate the various target years used for GMA planning. State and County Growth Profiles. A two-page population profile is provided for each county. These profiles are developed from the intermediate population series and contain agegender detail and components of population change graphs. Appendix. The appendix contains additional information and sets of data that might be of interest to users, especially those intending to do further analysis. These include data concepts, census, estimate, and other information. ·

Data concepts: The data in this publication follow generally accepted demographic definitions and concepts used by the U.S. Census Bureau. Since the general reader cannot be expected to know these, this section presents the most important ones. The data concepts section provides a discussion on resident and seasonal population. OFM projections do not include seasonal population nor imply anything about seasonal housing stock. Counties with significant seasonal housing should deal with this as an addition to the OFM projections.

·

Historical data: Tables showing historical census results, population estimates, components of change, growth rates, and so forth are included as reference material for users interested in doing analyses of the projections. These data were used both by OFM staff and county officials and planners to help evaluate preliminary versions of the projections.

Population age 65 and older. Also enclosed is a table showing county shares of the population age 65 and over from the middle series projection. This might be of interest to counties that are retirement havens. Note that many retirement haven counties (such as Clallam, Jefferson, Island, and San Juan) show gains in share up through 2000 or 2010, but drop thereafter. This is in spite of the fact that the OFM projection system is giving them high rates of net inmigration in the 5579 age range. The reason for the share drop has to do with the Baby Boom population that begins to turn 65 around 2010. All counties are affected by this, and the change in large counties such as King, Pierce, and Snohomish simply overwhelms any gains in retirement counties (which tend to have smaller population shares in the ages leading up to retirement and therefore feed proportionally fewer natives into the post-64 range).

12

PROJECTIONS OF THE TOTAL RESIDENT POPULATION FOR THE GROWTH MANAGEMENT ACT HIGH: 2000 TO 2025 BY SINGLE YEAR AFTER 2010 (Released January 2002) Note: Unrounded numbers not meant to imply precision

Washington Adams Asotin Benton Chelan Clallam Clark Columbia Cowlitz Douglas Ferry Franklin Garfield Grant Grays Harbor Island Jefferson King Kitsap Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille Pierce San Juan Skagit Skamania Snohomish Spokane Stevens Thurston Wahkiakum Walla Walla Whatcom Whitman Yakima OFM/Forecasting

2000 5,894,121 16,428 20,551 142,475 66,616 64,179 345,238 4,064 92,948 32,603 7,260 49,347 2,397 74,698 67,194 71,558 26,299 1,737,034 231,969 33,362 19,161 68,600 10,184 49,405 39,564 20,984 11,732 700,820 14,077 102,979 9,872 606,024 417,939 40,066 207,355 3,824 55,180 166,814 40,740 222,581

2005 6,621,080 18,444 22,679 164,553 74,443 68,333 413,273 4,217 108,369 38,877 8,731 55,919 2,629 87,238 70,064 79,783 30,195 1,851,128 277,242 36,759 21,863 79,794 11,054 58,899 43,904 22,424 13,554 791,400 16,521 121,451 11,429 699,238 469,958 47,158 255,703 4,156 61,872 194,449 45,966 237,411

2010 7,215,892 19,853 24,230 180,423 81,009 72,383 465,996 4,420 122,416 43,292 9,600 61,552 2,795 96,502 74,216 88,312 33,793 1,961,538 306,960 40,545 23,832 87,800 11,736 66,750 47,850 23,383 14,946 856,004 18,987 137,054 12,368 781,806 509,327 54,039 287,919 4,528 66,153 217,009 48,967 255,599

2011 7,342,279 20,180 24,498 183,170 82,372 73,238 476,301 4,484 125,207 44,221 9,757 62,672 2,832 97,959 75,185 90,225 34,656 1,984,904 313,479 41,383 24,267 89,155 11,962 68,468 48,548 23,622 15,232 869,889 19,472 140,404 12,578 798,519 518,553 55,678 295,071 4,592 66,950 222,237 49,714 260,645

2012 7,470,685 20,499 24,791 186,187 83,763 74,098 487,205 4,540 128,149 45,173 9,928 63,841 2,868 99,631 76,125 92,140 35,506 2,008,343 320,055 42,223 24,701 90,660 12,161 70,218 49,306 23,848 15,526 883,857 19,988 143,841 12,787 815,942 527,578 57,309 302,294 4,662 67,792 227,425 50,425 265,300

2013 7,601,062 20,824 25,085 189,215 85,170 74,975 498,201 4,594 131,142 46,135 10,101 65,033 2,905 101,283 77,078 94,094 36,379 2,032,019 326,763 43,073 25,143 92,188 12,370 72,010 50,059 24,077 15,825 898,017 20,512 147,381 12,998 833,680 536,803 58,992 309,638 4,734 68,640 232,719 51,152 270,055

2014 7,733,425 21,153 25,381 192,252 86,591 75,867 509,284 4,648 134,188 47,106 10,279 66,248 2,942 102,914 78,045 96,088 37,275 2,055,935 333,606 43,935 25,591 93,736 12,590 73,843 50,807 24,311 16,126 912,373 21,042 151,028 13,212 851,736 546,233 60,729 317,103 4,807 69,494 238,121 51,894 274,912

2015 7,867,806 21,489 25,678 195,296 88,027 76,776 520,449 4,700 137,286 48,087 10,460 67,487 2,980 104,523 79,027 98,124 38,197 2,080,093 340,585 44,806 26,047 95,307 12,820 75,720 51,549 24,549 16,432 926,924 21,578 154,785 13,429 870,116 555,873 62,522 324,690 4,882 70,354 243,634 52,652 279,873

2016 7,996,531 21,804 25,993 198,139 89,342 77,812 529,664 4,704 140,338 48,892 10,681 68,851 3,013 105,665 79,978 100,108 39,126 2,103,497 347,477 45,539 26,479 97,135 13,125 77,563 52,098 24,794 16,714 940,880 22,043 159,085 13,625 888,568 565,802 64,340 331,178 4,981 71,222 248,653 53,428 284,195

2017 8,130,821 22,133 26,306 201,126 90,736 78,812 539,957 4,728 143,504 49,793 10,891 70,200 3,048 107,024 80,958 102,171 40,083 2,127,580 354,601 46,347 26,932 98,899 13,407 79,483 52,738 25,039 17,012 955,381 22,553 163,308 13,834 907,532 575,850 66,220 338,330 5,073 72,101 254,033 54,212 288,886

2018 8,266,437 22,466 26,623 204,133 92,138 79,826 550,291 4,749 146,720 50,697 11,106 71,571 3,083 108,372 81,943 104,261 41,056 2,151,779 361,816 47,160 27,389 100,698 13,697 81,436 53,373 25,286 17,312 969,994 23,069 167,638 14,044 926,777 586,032 68,143 345,533 5,167 72,987 259,471 55,004 293,597

2019 8,403,361 22,800 26,941 207,159 93,548 80,853 560,661 4,769 149,985 51,602 11,326 72,968 3,119 109,706 82,934 106,377 42,047 2,176,092 369,123 47,976 27,849 102,532 13,996 83,423 54,004 25,534 17,616 984,716 23,589 172,076 14,255 946,303 596,349 70,106 352,784 5,263 73,879 264,967 55,806 298,328

2020 8,541,588 23,136 27,263 210,205 94,966 81,894 571,061 4,786 153,298 52,511 11,551 74,390 3,154 111,029 83,931 108,520 43,055 2,200,518 376,521 48,794 28,314 104,403 14,302 85,442 54,629 25,784 17,921 999,548 24,113 176,627 14,467 966,111 606,802 72,111 360,081 5,362 74,779 270,518 56,615 303,076

2021 8,671,977 23,453 27,567 213,104 96,306 82,877 580,859 4,801 156,434 53,375 11,765 75,735 3,187 112,286 84,876 110,543 44,000 2,223,599 383,436 49,572 28,754 106,185 14,592 87,354 55,222 26,020 18,210 1,013,535 24,607 180,889 14,669 984,737 616,702 73,987 366,920 5,455 75,633 275,769 57,386 307,576

2022 8,804,485 23,775 27,874 216,044 97,665 83,871 590,826 4,815 159,634 54,252 11,982 77,105 3,221 113,558 85,831 112,604 44,965 2,246,922 390,479 50,362 29,202 107,997 14,887 89,308 55,822 26,259 18,503 1,027,718 25,111 185,254 14,873 1,003,723 626,764 75,912 373,889 5,549 76,496 281,122 58,168 312,143

2023 8,939,150 24,101 28,184 219,024 99,044 84,878 600,963 4,830 162,899 55,144 12,204 78,500 3,256 114,843 86,798 114,704 45,952 2,270,489 397,650 51,165 29,656 109,839 15,189 91,306 56,429 26,499 18,801 1,042,099 25,625 189,725 15,080 1,023,074 636,990 77,887 380,991 5,646 77,369 286,579 58,961 316,777

2024 9,076,004 24,431 28,498 222,045 100,441 85,896 611,275 4,844 166,232 56,051 12,430 79,920 3,290 116,144 87,775 116,842 46,960 2,294,304 404,954 51,981 30,117 111,714 15,496 93,349 57,041 26,742 19,103 1,056,681 26,150 194,303 15,290 1,042,798 647,383 79,914 388,227 5,743 78,253 292,142 59,764 321,481

2025 9,215,093 24,766 28,816 225,108 101,859 86,927 621,763 4,859 169,632 56,973 12,660 81,365 3,325 117,459 88,763 119,021 47,990 2,318,368 412,391 52,810 30,586 113,620 15,810 95,437 57,661 26,987 19,411 1,071,468 26,686 198,992 15,503 1,062,903 657,946 81,993 395,601 5,843 79,146 297,813 60,578 326,254

13

14 2000 Washington 5,894,121 Adams 16,428 Asotin 20,551 Benton 142,475 Chelan 66,616 Clallam 64,179 Clark 345,238 Columbia 4,064 Cowlitz 92,948 Douglas 32,603 Ferry 7,260 Franklin 49,347 Garfield 2,397 Grant 74,698 Grays Harbor 67,194 Island 71,558 Jefferson 26,299 King 1,737,034 Kitsap 231,969 Kittitas 33,362 Klickitat 19,161 Lewis 68,600 Lincoln 10,184 Mason 49,405 Okanogan 39,564 Pacific 20,984 Pend Oreille 11,732 Pierce 700,820 San Juan 14,077 Skagit 102,979 Skamania 9,872 Snohomish 606,024 Spokane 417,939 Stevens 40,066 Thurston 207,355 Wahkiakum 3,824 Walla Walla 55,180 Whatcom 166,814 Whitman 40,740 Yakima 222,581 OFM/Forecasting

PROJECTIONS OF THE TOTAL RESIDENT POPULATION FOR THE GROWTH MANAGEMENT ACT INTERMEDIATE: 2000 TO 2025 BY SINGLE YEAR AFTER 2010 (Released January 2002) Note: Unrounded numbers not meant to imply precision 2005 6,233,345 17,458 21,466 151,522 71,169 64,969 391,264 3,914 98,764 36,257 7,901 52,642 2,436 82,397 66,490 74,738 28,308 1,786,803 236,403 34,314 20,338 73,005 10,095 53,789 41,458 20,957 12,679 740,838 15,480 113,136 10,483 666,735 441,068 42,105 234,053 3,906 57,475 180,463 40,445 225,622

2010 6,648,112 18,502 22,582 161,236 75,993 67,754 432,479 4,000 107,903 39,196 8,384 56,392 2,510 88,331 68,878 80,650 30,892 1,861,042 257,841 36,742 21,626 77,493 10,386 58,604 44,061 21,257 13,674 788,580 17,316 123,807 11,068 728,957 466,417 46,585 258,687 4,169 60,030 195,504 41,149 237,435

2011 6,736,491 18,751 22,764 162,758 76,992 68,349 440,353 4,039 109,665 39,810 8,465 57,120 2,528 89,128 69,479 81,997 31,527 1,876,982 262,557 37,289 21,916 78,155 10,523 59,666 44,489 21,361 13,876 798,907 17,667 126,092 11,203 741,346 472,634 47,679 264,166 4,211 60,481 199,081 41,417 241,068

2012 6,825,645 18,991 22,967 164,486 78,005 68,943 448,703 4,069 111,521 40,436 8,553 57,881 2,545 90,103 70,045 83,327 32,142 1,892,839 267,290 37,830 22,202 78,927 10,632 60,729 44,963 21,451 14,084 809,228 18,040 128,415 11,335 754,251 478,583 48,746 269,662 4,259 60,965 202,562 41,641 244,294

2013 6,915,483 19,233 23,169 166,194 79,022 69,546 457,051 4,098 113,391 41,061 8,643 58,652 2,562 91,043 70,616 84,674 32,771 1,908,724 272,092 38,370 22,490 79,702 10,750 61,809 45,426 21,542 14,292 819,625 18,416 130,795 11,467 767,293 484,630 49,839 275,213 4,307 61,447 206,087 41,870 247,571

2014 7,005,902 19,478 23,370 167,878 80,041 70,156 465,386 4,125 115,275 41,684 8,735 59,431 2,579 91,946 71,189 86,039 33,413 1,924,608 276,961 38,911 22,780 80,477 10,874 62,903 45,878 21,634 14,502 830,083 18,792 133,231 11,599 780,464 490,770 50,958 280,815 4,357 61,926 209,652 42,105 250,897

2015 7,096,501 19,724 23,569 169,528 81,056 70,769 473,674 4,150 117,163 42,302 8,827 60,216 2,596 92,806 71,761 87,416 34,067 1,940,385 281,883 39,451 23,071 81,251 11,004 64,007 46,315 21,725 14,711 840,557 19,168 135,717 11,731 793,720 496,981 52,102 286,449 4,406 62,398 213,246 42,342 254,257

2016 7,187,004 19,965 23,801 171,134 82,016 71,548 480,508 4,136 119,095 42,797 8,960 61,156 2,611 93,326 72,360 88,808 34,748 1,956,868 286,921 39,896 23,358 82,308 11,207 65,129 46,613 21,841 14,909 851,077 19,493 138,769 11,854 807,577 503,802 53,300 291,302 4,481 62,924 216,556 42,634 257,216

2017 7,277,229 20,206 24,015 172,730 82,992 72,248 487,969 4,137 121,018 43,342 9,075 62,031 2,626 93,966 72,933 90,197 35,426 1,972,685 291,949 40,378 23,645 83,239 11,380 66,253 46,959 21,940 15,110 861,514 19,842 141,626 11,979 821,273 510,345 54,498 296,527 4,546 63,416 219,998 42,894 260,322

2018 7,367,097 20,445 24,228 174,306 83,960 72,949 495,357 4,136 122,945 43,877 9,192 62,912 2,640 94,580 73,499 91,589 36,108 1,988,302 296,994 40,852 23,929 84,177 11,556 67,379 47,293 22,039 15,311 871,899 20,190 144,526 12,102 835,020 516,890 55,706 301,728 4,610 63,902 223,428 43,150 263,391

2019 7,456,504 20,684 24,440 175,860 84,917 73,649 502,666 4,132 124,872 44,404 9,309 63,798 2,654 95,163 74,057 92,977 36,794 2,003,697 302,053 41,318 24,213 85,121 11,735 68,507 47,614 22,135 15,509 882,220 20,535 147,468 12,224 848,801 523,432 56,925 306,899 4,677 64,383 226,840 43,403 266,419

2020 7,545,269 20,919 24,650 177,388 85,864 74,349 509,876 4,126 126,797 44,920 9,429 64,687 2,668 95,715 74,605 94,365 37,483 2,018,824 307,113 41,776 24,493 86,070 11,918 69,635 47,920 22,228 15,706 892,454 20,877 150,449 12,344 862,599 529,958 58,154 312,029 4,745 64,856 230,228 43,651 269,401

2021 7,633,132 21,154 24,864 178,941 86,808 75,055 516,943 4,121 128,674 45,434 9,548 65,560 2,682 96,294 75,168 95,720 38,145 2,034,367 312,016 42,233 24,773 87,016 12,096 70,729 48,239 22,328 15,901 902,641 21,210 153,293 12,464 875,995 536,421 59,319 317,000 4,811 65,343 233,539 43,911 272,376

2022 7,720,124 21,385 25,072 180,461 87,741 75,749 523,973 4,115 130,545 45,942 9,663 66,429 2,696 96,852 75,717 97,069 38,809 2,049,502 316,914 42,684 25,048 87,951 12,273 71,822 48,548 22,424 16,094 912,711 21,542 156,151 12,584 889,370 542,821 60,493 321,966 4,877 65,817 236,837 44,163 275,314

2023 7,806,203 21,614 25,277 181,948 88,661 76,429 530,962 4,109 132,409 46,443 9,780 67,291 2,709 97,388 76,250 98,413 39,473 2,064,221 321,807 43,129 25,320 88,874 12,450 72,913 48,846 22,514 16,285 922,655 21,873 159,023 12,701 902,718 549,158 61,674 326,928 4,943 66,279 240,120 44,404 278,212

2024 7,891,332 21,840 25,476 183,401 89,568 77,096 537,909 4,101 134,265 46,939 9,894 68,148 2,722 97,903 76,768 99,750 40,139 2,078,521 326,694 43,567 25,590 89,783 12,626 74,002 49,133 22,598 16,474 932,474 22,203 161,904 12,815 916,035 555,426 62,862 331,882 5,008 66,725 243,387 44,635 281,069

2025 7,975,471 22,063 25,671 184,818 90,461 77,749 544,809 4,092 136,114 47,428 10,008 68,997 2,734 98,395 77,269 101,079 40,807 2,092,390 331,571 43,999 25,855 90,678 12,802 75,088 49,410 22,678 16,662 942,157 22,534 164,797 12,927 929,314 561,627 64,057 336,825 5,072 67,158 246,636 44,856 283,884

PROJECTIONS OF THE TOTAL RESIDENT POPULATION FOR THE GROWTH MANAGEMENT ACT LOW SERIES: 2000 TO 2025 BY SINGLE YEAR AFTER 2010 (Released January 2002) Note: Unrounded numbers not meant to imply precision 2000 Washington 5,894,121 Adams 16,428 Asotin 20,551 Benton 142,475 Chelan 66,616 Clallam 64,179 Clark 345,238 Columbia 4,064 Cowlitz 92,948 Douglas 32,603 Ferry 7,260 Franklin 49,347 Garfield 2,397 Grant 74,698 Grays Harbor 67,194 Island 71,558 Jefferson 26,299 King 1,737,034 Kitsap 231,969 Kittitas 33,362 Klickitat 19,161 Lewis 68,600 Lincoln 10,184 Mason 49,405 Okanogan 39,564 Pacific 20,984 Pend Oreille 11,732 Pierce 700,820 San Juan 14,077 Skagit 102,979 Skamania 9,872 Snohomish 606,024 Spokane 417,939 Stevens 40,066 Thurston 207,355 Wahkiakum 3,824 Walla Walla 55,180 Whatcom 166,814 Whitman 40,740 Yakima 222,581 OFM/Forecasting

2005 5,935,479 16,585 20,393 143,052 67,913 61,442 370,136 3,647 93,344 33,900 7,260 49,878 2,256 77,762 62,916 69,693 26,421 1,721,585 219,855 32,341 19,067 67,621 9,512 50,158 39,219 19,930 11,868 711,204 14,532 106,914 9,789 634,232 419,566 39,758 219,132 3,656 54,027 171,665 38,119 215,131

2010 6,190,412 17,392 21,227 147,531 71,015 62,781 400,908 3,654 98,192 35,668 7,260 52,163 2,253 80,602 63,540 72,988 27,989 1,766,129 232,057 33,619 19,788 69,550 9,571 53,037 40,712 19,854 12,471 741,265 15,801 113,902 10,100 676,108 432,602 42,742 237,345 3,810 55,228 181,330 37,651 220,577

2011 6,244,074 17,587 21,352 148,240 71,635 63,064 406,485 3,676 99,303 36,023 7,260 52,573 2,254 80,745 63,756 73,743 28,388 1,775,654 234,679 33,909 19,952 69,685 9,651 53,660 40,905 19,877 12,587 747,688 16,026 115,357 10,174 683,979 436,063 43,484 241,355 3,830 55,394 183,677 37,664 222,740

2012 6,297,797 17,773 21,494 149,029 72,266 63,346 412,460 3,688 100,382 36,384 7,260 53,009 2,254 81,069 63,938 74,475 28,764 1,785,037 237,290 34,190 20,111 69,914 9,709 54,279 41,142 19,885 12,707 754,059 16,269 116,832 10,245 692,254 439,246 44,192 245,347 3,854 55,589 185,913 37,635 224,507

2013 6,351,718 17,961 21,636 149,802 72,895 63,633 418,390 3,699 101,473 36,740 7,260 53,450 2,254 81,351 64,121 75,214 29,147 1,794,437 239,919 34,467 20,271 70,141 9,771 54,903 41,366 19,896 12,826 760,453 16,511 118,342 10,314 700,570 442,487 44,916 249,361 3,879 55,782 188,166 37,612 226,302

2014 6,405,828 18,151 21,778 150,561 73,521 63,926 424,270 3,708 102,575 37,091 7,260 53,895 2,254 81,589 64,307 75,958 29,537 1,803,854 242,569 34,742 20,431 70,365 9,839 55,532 41,577 19,908 12,945 766,871 16,751 119,887 10,385 708,927 445,787 45,655 253,394 3,904 55,972 190,435 37,593 228,124

2015 6,460,127 18,343 21,919 151,304 74,146 64,225 430,096 3,715 103,689 37,437 7,260 54,345 2,255 81,785 64,495 76,708 29,935 1,813,290 245,238 35,013 20,591 70,587 9,912 56,166 41,776 19,922 13,063 773,312 16,988 121,467 10,455 717,324 449,147 46,410 257,446 3,930 56,158 192,721 37,579 229,975

2016 6,508,188 18,516 22,074 151,864 74,652 64,619 434,192 3,686 104,731 37,635 7,260 54,881 2,251 81,609 64,645 77,385 30,322 1,821,889 247,716 35,163 20,728 70,982 10,041 56,752 41,811 19,942 13,158 779,080 17,161 123,420 10,507 725,520 452,614 47,159 260,547 3,974 56,343 194,552 37,575 231,232

2017 6,559,424 18,699 22,224 152,504 75,211 64,976 439,079 3,672 105,817 37,897 7,260 55,388 2,249 81,577 64,811 78,101 30,720 1,830,884 250,307 35,366 20,876 71,306 10,149 57,367 41,915 19,958 13,263 785,186 17,364 125,253 10,567 733,922 456,066 47,927 264,107 4,011 56,529 196,599 37,568 232,749

2018 6,610,260 18,882 22,375 153,128 75,765 65,335 443,892 3,656 106,898 38,150 7,260 55,897 2,247 81,524 64,972 78,810 31,118 1,839,789 252,881 35,560 21,022 71,633 10,260 57,978 42,010 19,974 13,367 791,244 17,564 127,108 10,626 742,319 459,510 48,697 267,635 4,049 56,713 198,624 37,559 234,229

2019 6,660,674 19,064 22,526 153,736 76,310 65,696 448,627 3,638 107,974 38,395 7,260 56,409 2,244 81,451 65,128 79,513 31,516 1,848,600 255,437 35,748 21,166 71,964 10,372 58,586 42,095 19,990 13,469 797,252 17,761 128,988 10,683 750,708 462,942 49,470 271,129 4,088 56,894 200,625 37,550 235,670

2020 6,710,659 19,245 22,678 154,328 76,848 66,059 453,280 3,619 109,045 38,631 7,260 56,925 2,241 81,358 65,279 80,210 31,913 1,857,318 257,975 35,927 21,309 72,299 10,488 59,190 42,170 20,005 13,570 803,209 17,954 130,891 10,739 759,087 466,363 50,245 274,586 4,128 57,073 202,601 37,540 237,073

2021 6,753,027 19,409 22,813 154,786 77,308 66,364 457,347 3,598 109,952 38,823 7,260 57,366 2,236 81,198 65,378 80,787 32,248 1,864,727 260,061 36,066 21,428 72,550 10,588 59,695 42,215 20,009 13,654 808,321 18,118 132,522 10,785 766,277 469,233 50,905 277,619 4,162 57,209 204,289 37,501 238,220

2022 6,795,720 19,574 22,949 155,246 77,771 66,670 461,451 3,577 110,866 39,017 7,260 57,811 2,232 81,038 65,477 81,368 32,587 1,872,165 262,163 36,206 21,548 72,802 10,690 60,205 42,259 20,013 13,739 813,466 18,283 134,174 10,832 773,535 472,122 51,573 280,686 4,196 57,345 205,991 37,461 239,372

2023 6,838,737 19,740 23,085 155,707 78,236 66,978 465,591 3,556 111,788 39,211 7,260 58,259 2,227 80,879 65,576 81,954 32,930 1,879,633 264,283 36,347 21,669 73,055 10,792 60,719 42,304 20,017 13,824 818,644 18,450 135,846 10,878 780,862 475,027 52,251 283,787 4,231 57,482 207,707 37,422 240,530

2024 6,882,078 19,908 23,223 156,169 78,705 67,287 469,769 3,535 112,718 39,406 7,260 58,710 2,223 80,720 65,675 82,543 33,276 1,887,131 266,419 36,488 21,790 73,308 10,896 61,237 42,349 20,021 13,910 823,854 18,618 137,539 10,925 788,259 477,951 52,937 286,921 4,266 57,619 209,437 37,382 241,694

2025 6,925,750 20,077 23,361 156,633 79,176 67,598 473,984 3,514 113,655 39,602 7,260 59,165 2,218 80,561 65,775 83,137 33,626 1,894,659 268,573 36,629 21,912 73,563 11,000 61,760 42,394 20,025 13,996 829,098 18,788 139,253 10,972 795,725 480,893 53,632 290,091 4,301 57,756 211,182 37,343 242,863

15


16

State and County Growth Profiles

17


Washington State Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 5,894,121 394,306 425,909 434,836 427,968 390,185 403,652 437,478 483,950 491,137 454,223 391,749 285,505 211,075 176,225 160,941 142,708 98,189 84,085

2000 Male 2,934,300 202,065 218,501 222,937 220,412 200,812 206,789 223,414 244,033 246,265 225,509 195,058 142,506 104,014 84,294 72,628 60,153 38,693 26,217

Female 2,959,821 192,241 207,408 211,899 207,556 189,373 196,863 214,064 239,917 244,872 228,714 196,691 142,999 107,061 91,931 88,313 82,555 59,496 57,868

Total 6,233,345 413,246 409,286 439,573 447,837 445,181 408,677 419,731 448,143 489,407 492,772 452,279 385,477 275,987 199,043 159,200 136,141 109,104 102,261

2005 Male 3,105,296 211,429 209,717 225,476 229,463 228,930 209,802 214,658 228,455 246,183 246,463 223,715 190,750 136,187 96,182 73,832 58,641 42,548 32,865

Female 3,128,049 201,817 199,569 214,097 218,374 216,251 198,875 205,073 219,688 243,224 246,309 228,564 194,727 139,800 102,861 85,368 77,500 66,556 69,396

Total 6,648,112 442,904 434,722 427,237 457,902 473,760 474,789 431,546 434,053 456,251 493,700 493,187 447,380 375,028 262,394 181,403 135,861 105,334 120,661

2010 Male 3,314,617 226,615 222,391 218,882 234,758 242,403 243,557 221,233 221,667 232,093 247,783 245,832 219,977 183,501 127,080 85,199 60,345 42,228 39,073

Female 3,333,495 216,289 212,331 208,355 223,144 231,357 231,232 210,313 212,386 224,158 245,917 247,355 227,403 191,527 135,314 96,204 75,516 63,106 81,588

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 7,096,501 481,162 466,084 453,879 445,087 484,462 505,428 501,618 446,828 442,042 460,539 494,426 488,317 435,965 357,604 240,323 155,953 106,104 130,680

2015 Male 3,539,835 246,203 238,455 232,162 227,917 248,058 257,983 256,987 228,776 225,297 233,791 247,353 242,044 212,063 171,868 113,310 70,372 44,103 43,093

Female 3,556,666 234,959 227,629 221,717 217,170 236,404 247,445 244,631 218,052 216,745 226,748 247,073 246,273 223,902 185,736 127,013 85,581 62,001 87,587

Total 7,545,269 505,770 504,989 485,515 471,821 469,434 515,074 532,411 518,310 454,684 445,835 461,105 489,528 476,063 416,229 328,549 207,823 123,001 139,128

2020 Male 3,763,154 258,808 258,376 248,363 241,223 240,091 263,135 271,418 265,216 232,355 226,782 233,383 243,606 233,575 199,024 153,915 94,350 52,191 47,343

Female 3,782,115 246,962 246,613 237,152 230,598 229,343 251,939 260,993 253,094 222,329 219,053 227,722 245,922 242,488 217,205 174,634 113,473 70,810 91,785

Total 7,975,471 518,964 529,709 525,130 503,857 496,472 497,788 541,244 549,334 526,954 458,455 446,220 456,706 477,537 455,047 383,363 285,620 165,426 157,645

2025 Male 3,974,981 265,568 271,038 268,652 257,635 253,527 254,032 276,169 279,717 269,145 233,844 226,325 230,010 235,332 219,654 178,836 129,045 70,834 55,618

Female 4,000,490 253,396 258,671 256,478 246,222 242,945 243,756 265,075 269,617 257,809 224,611 219,895 226,696 242,205 235,393 204,527 156,575 94,592 102,027

Deaths 230,153 247,922 267,066 291,264 323,130

Migration 158,561 225,800 240,500 240,500 240,500

Summary Data Period 2000-05 2005-10 2010-15 2015-20 2020-25

18

Change 339,224 414,767 448,389 448,768 430,202

Births 410,816 436,889 474,955 499,532 512,832


Projected Population and Components of Change

Washington State 10,000,000 9,000,000 8,000,000 7,000,000 6,000,000 5,000,000 4,000,000 3,000,000

Census/Est. High Intermediate Low

2,000,000 1,000,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

600,000 500,000 400,000 300,000 200,000 Births Deaths Migration

100,000 0 -100,000 -200,000 -300,000 -400,000

20

20

20

15

-2 5

0

5

-2

-1

0

5

0

5

0

5

0

5

-1

-0

-0

-9

-9

-8

-8

-7

0

-65

-7

05

10 20

20

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

19


Adams County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 16,428 1,552 1,616 1,489 1,492 1,070 1,077 1,090 1,093 1,058 1,052 858 702 572 484 447 350 227 199

2000 Male 8,395 785 852 782 802 561 557 575 575 524 535 416 368 287 239 225 149 102 61

Female 8,033 767 764 707 690 509 520 515 518 534 517 442 334 285 245 222 201 125 138

Total 17,458 1,694 1,598 1,642 1,493 1,205 1,253 1,114 1,102 1,087 1,041 1,022 812 640 501 405 360 258 231

2005 Male 8,936 867 810 866 806 612 658 583 584 572 515 521 397 340 253 196 174 102 80

Female 8,522 827 788 776 687 593 595 531 518 515 526 501 415 300 248 209 186 156 151

Total 18,502 1,804 1,741 1,615 1,625 1,205 1,411 1,282 1,116 1,091 1,068 1,008 964 737 559 419 325 264 268

2010 Male 9,492 924 892 819 878 621 721 680 585 578 562 501 497 366 300 208 150 120 90

Female 9,010 880 849 796 747 584 690 602 531 513 506 507 467 371 259 211 175 144 178

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 19,724 1,952 1,863 1,774 1,608 1,339 1,392 1,464 1,292 1,108 1,075 1,035 951 878 646 470 339 239 299

2015 Male 10,142 1,001 957 909 837 693 717 756 689 583 571 547 478 459 325 247 162 103 108

Female 9,582 951 906 865 771 646 675 708 603 525 504 488 473 419 321 223 177 136 191

Total 20,919 2,059 2,001 1,885 1,753 1,319 1,530 1,417 1,462 1,274 1,085 1,039 977 865 767 545 382 254 305

2020 Male 10,787 1,059 1,028 968 922 656 794 737 759 681 571 554 522 443 406 269 196 113 109

Female 10,132 1,000 973 917 831 663 736 680 703 593 514 485 455 422 361 276 186 141 196

Total 22,063 2,131 2,103 2,013 1,851 1,432 1,511 1,548 1,410 1,435 1,244 1,050 983 889 759 650 446 288 320

2025 Male 11,399 1,096 1,082 1,035 976 721 755 812 737 746 666 554 530 484 394 340 213 139 119

Female 10,664 1,035 1,021 978 875 711 756 736 673 689 578 496 453 405 365 310 233 149 201


20

Change 1,030 1,044 1,222 1,195 1,144

Births 1,717 1,838 1,998 2,131 2,222

Deaths 578 607 626 642 667

Migration -109 -187 -150 -294 -411



Adams County 30,000 25,000 20,000 15,000 10,000


5,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

3,000 2,000 Births Deaths Migration

1,000 0 -1,000 -2,000

20 20

15 20

10 20

05 20

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

0 -9

5 -8

0 -8

5 -7

0 -7

5 -6

21


Asotin County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 20,551 1,406 1,444 1,428 1,524 1,104 1,127 1,201 1,461 1,575 1,496 1,281 1,163 986 842 810 640 554 509

2000 Male 9,798 751 758 738 736 535 544 567 689 767 724 621 547 478 384 360 263 207 129

Female 10,753 655 686 690 788 569 583 634 772 808 772 660 616 508 458 450 377 347 380

Total 21,466 1,337 1,492 1,516 1,517 1,247 1,290 1,232 1,268 1,499 1,594 1,506 1,276 1,148 959 788 695 495 607

2005 Male 10,312 684 798 797 756 610 624 602 601 707 776 727 614 534 459 356 300 192 175

Female 11,154 653 694 719 761 637 666 630 667 792 818 779 662 614 500 432 395 303 432

Total 22,582 1,452 1,428 1,574 1,608 1,254 1,465 1,414 1,303 1,308 1,521 1,608 1,500 1,264 1,126 900 682 544 631

2010 Male 10,907 744 731 840 814 636 716 692 638 619 716 779 719 602 519 428 300 221 193

Female 11,675 708 697 734 794 618 749 722 665 689 805 829 781 662 607 472 382 323 438

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 23,569 1,558 1,532 1,492 1,641 1,329 1,456 1,572 1,467 1,324 1,315 1,523 1,596 1,479 1,231 1,056 779 537 682

2015 Male 11,428 797 784 763 844 685 736 776 719 649 622 713 767 701 580 484 361 223 224

Female 12,141 761 748 729 797 644 720 796 748 675 693 810 829 778 651 572 418 314 458

Total 24,650 1,607 1,647 1,605 1,577 1,368 1,528 1,570 1,641 1,498 1,337 1,320 1,516 1,575 1,447 1,162 921 616 715

2020 Male 11,990 820 843 820 775 716 784 802 812 734 654 621 704 750 681 548 412 272 242

Female 12,660 787 804 785 802 652 744 768 829 764 683 699 812 825 766 614 509 344 473

Total 25,671 1,617 1,693 1,724 1,690 1,301 1,571 1,639 1,635 1,673 1,508 1,343 1,317 1,500 1,540 1,364 1,019 735 802

2025 Male 12,534 826 865 881 832 650 819 849 837 828 738 654 616 692 729 640 469 314 295

Female 13,137 791 828 843 858 651 752 790 798 845 770 689 701 808 811 724 550 421 507


22

Change 915 1,116 987 1,081 1,021

Births 1,329 1,435 1,552 1,598 1,611

Deaths 1,122 1,145 1,194 1,246 1,319

Migration 708 826 629 729 729



Asotin County 35,000 30,000 25,000 20,000 15,000 Census/Est. 10,000

High Intermediate Low

5,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

3,000

2,000

1,000

Births Deaths Migration

0

-1,0 00

-2,0 00

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

10

15 20

20

05 20

00 20

95 19

90 19

0 -9

5 -8

0 -8

-75

0 -7

5 -6

80

85 19

19

75 19

70 19

65 19

60 19

23


Benton County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 142,475 10,779 11,682 12,313 11,683 8,107 8,388 9,362 11,138 11,741 11,055 9,488 6,906 5,178 4,162 3,689 3,153 2,082 1,569

2000 Male 70,785 5,522 5,907 6,306 6,032 4,038 4,140 4,641 5,518 5,846 5,569 4,868 3,531 2,573 2,015 1,668 1,319 784 508

Female 71,690 5,257 5,775 6,007 5,651 4,069 4,248 4,721 5,620 5,895 5,486 4,620 3,375 2,605 2,147 2,021 1,834 1,298 1,061

Total 151,522 11,139 11,407 12,245 12,286 10,164 9,489 9,146 9,862 11,415 11,870 11,023 9,239 6,524 4,703 3,594 3,035 2,359 2,022

2005 Male 75,234 5,702 5,846 6,195 6,299 5,116 4,715 4,572 4,906 5,656 5,904 5,545 4,724 3,305 2,278 1,648 1,287 900 636

Female 76,288 5,437 5,561 6,050 5,987 5,048 4,774 4,574 4,956 5,759 5,966 5,478 4,515 3,219 2,425 1,946 1,748 1,459 1,386

Total 161,236 12,506 11,797 11,931 12,177 10,702 11,895 10,246 9,557 10,057 11,481 11,787 10,703 8,710 5,922 4,065 2,958 2,282 2,460

2010 Male 80,057 6,401 6,037 6,115 6,170 5,369 5,980 5,153 4,791 5,004 5,681 5,852 5,365 4,412 2,928 1,870 1,274 886 769

Female 81,179 6,105 5,760 5,816 6,007 5,333 5,915 5,093 4,766 5,053 5,800 5,935 5,338 4,298 2,994 2,195 1,684 1,396 1,691

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 169,528 13,815 13,001 12,120 11,609 10,454 12,374 12,437 10,424 9,562 9,977 11,267 11,325 9,988 7,839 5,085 3,335 2,227 2,689

2015 Male 84,198 7,072 6,655 6,203 5,951 5,182 6,205 6,326 5,259 4,795 4,960 5,569 5,607 4,965 3,882 2,397 1,444 881 845

Female 85,330 6,743 6,346 5,917 5,658 5,272 6,169 6,111 5,165 4,767 5,017 5,698 5,718 5,023 3,957 2,688 1,891 1,346 1,844

Total 177,388 14,255 14,306 13,302 11,781 9,934 12,002 12,839 12,622 10,388 9,466 9,785 10,822 10,575 8,995 6,752 4,197 2,540 2,827

2020 Male 88,060 7,298 7,323 6,809 6,031 4,985 5,947 6,499 6,443 5,240 4,743 4,860 5,334 5,195 4,375 3,191 1,871 1,017 899

Female 89,328 6,957 6,983 6,493 5,750 4,949 6,055 6,340 6,179 5,148 4,723 4,925 5,488 5,380 4,620 3,561 2,326 1,523 1,928

Total 184,818 14,182 14,789 14,673 12,965 10,093 11,409 12,474 13,067 12,623 10,298 9,305 9,435 10,143 9,567 7,791 5,613 3,227 3,164

2025 Male 91,673 7,261 7,571 7,511 6,638 5,058 5,723 6,241 6,633 6,446 5,190 4,659 4,677 4,962 4,603 3,619 2,514 1,337 1,030

Female 93,145 6,921 7,218 7,162 6,327 5,035 5,686 6,233 6,434 6,177 5,108 4,646 4,758 5,181 4,964 4,172 3,099 1,890 2,134


24

Change 9,047 9,714 8,292 7,860 7,430

Births 11,095 12,473 13,955 14,441 14,369

Deaths 5,070 5,527 5,940 6,345 6,847

Migration 3,022 2,768 277 -236 -92



Benton County 250,000

200,000

150,000

100,000 Census/Est. High

50,000

Intermediate Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

40,000 30,000


20,000 10,000 0 -10,000 -20,000 0 -7

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

25


Chelan County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 66,616 4,750 5,140 5,449 5,188 3,621 3,820 4,162 4,844 5,267 5,146 4,174 3,182 2,631 2,352 2,264 1,962 1,369 1,295

2000 Male 33,158 2,385 2,618 2,801 2,769 1,865 1,902 2,144 2,390 2,628 2,668 2,103 1,572 1,324 1,141 1,039 848 538 423

Female 33,458 2,365 2,522 2,648 2,419 1,756 1,918 2,018 2,454 2,639 2,478 2,071 1,610 1,307 1,211 1,225 1,114 831 872

Total 71,169 5,033 5,092 5,469 5,751 4,627 4,080 4,152 4,471 5,035 5,390 5,203 4,151 3,118 2,517 2,154 1,925 1,503 1,498

2005 Male 35,474 2,576 2,558 2,788 3,000 2,388 2,111 2,067 2,310 2,484 2,685 2,691 2,079 1,525 1,248 1,020 849 604 491

Female 35,695 2,457 2,534 2,681 2,751 2,239 1,969 2,085 2,161 2,551 2,705 2,512 2,072 1,593 1,269 1,134 1,076 899 1,007

Total 75,993 5,501 5,405 5,409 5,744 5,143 5,242 4,398 4,422 4,625 5,129 5,432 5,162 4,062 2,987 2,308 1,833 1,486 1,705

2010 Male 37,939 2,815 2,769 2,719 2,971 2,601 2,716 2,275 2,207 2,391 2,526 2,697 2,656 2,016 1,442 1,121 837 612 568

Female 38,054 2,686 2,636 2,690 2,773 2,542 2,526 2,123 2,215 2,234 2,603 2,735 2,506 2,046 1,545 1,187 996 874 1,137

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 81,056 6,063 5,864 5,712 5,637 5,130 5,776 5,603 4,637 4,546 4,693 5,148 5,372 5,031 3,886 2,739 1,968 1,419 1,832

2015 Male 40,535 3,105 3,003 2,924 2,876 2,577 2,930 2,908 2,406 2,271 2,424 2,530 2,655 2,568 1,904 1,298 923 608 625

Female 40,521 2,958 2,861 2,788 2,761 2,553 2,846 2,695 2,231 2,275 2,269 2,618 2,717 2,463 1,982 1,441 1,045 811 1,207

Total 85,864 6,416 6,395 6,128 5,889 4,989 5,728 6,075 5,834 4,715 4,576 4,689 5,076 5,224 4,797 3,564 2,348 1,536 1,885

2020 Male 42,995 3,287 3,275 3,136 3,058 2,470 2,888 3,084 3,041 2,447 2,282 2,417 2,483 2,564 2,423 1,718 1,077 682 663

Female 42,869 3,129 3,120 2,992 2,831 2,519 2,840 2,991 2,793 2,268 2,294 2,272 2,593 2,660 2,374 1,846 1,271 854 1,222

Total 90,461 6,554 6,752 6,665 6,303 5,196 5,573 5,985 6,304 5,922 4,732 4,563 4,622 4,939 4,990 4,410 3,071 1,854 2,026

2025 Male 45,308 3,358 3,459 3,415 3,270 2,622 2,769 3,018 3,209 3,086 2,452 2,272 2,372 2,399 2,424 2,195 1,437 805 746

Female 45,153 3,196 3,293 3,250 3,033 2,574 2,804 2,967 3,095 2,836 2,280 2,291 2,250 2,540 2,566 2,215 1,634 1,049 1,280


26

Change 4,553 4,824 5,063 4,808 4,597

Births 4,978 5,458 6,047 6,435 6,579

Deaths 3,106 3,262 3,408 3,577 3,810

Migration 2,681 2,628 2,424 1,950 1,828



Chelan County 110,000 100,000 90,000 80,000 70,000 60,000 Census/Est. High Intermediate Low

50,000 40,000

30,000 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

12,000 Births Deaths Migration

8,000

4,000

0

-4,000

-8,000

20 20

15 20

10 20

05 20

00 20

5 -2

0 -2

-15

0 -1

5 -0

0 -0

5 -9

0 -9

5 -8

90

95 19

19

85 19

0 -8

5 -7

5 -6

0 -7

75

80 19

19

70 19

60

65 19

19

27


Clallam County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 64,179 3,313 3,737 4,309 4,462 2,845 2,801 2,969 4,018 4,692 5,043 4,640 4,056 3,567 3,488 3,493 3,089 2,090 1,567

2000 Male 31,708 1,698 1,932 2,196 2,421 1,591 1,485 1,525 1,940 2,265 2,482 2,269 1,957 1,750 1,657 1,703 1,388 928 521

Female 32,471 1,615 1,805 2,113 2,041 1,254 1,316 1,444 2,078 2,427 2,561 2,371 2,099 1,817 1,831 1,790 1,701 1,162 1,046

Total 64,969 3,248 3,429 3,825 4,720 3,773 3,061 2,832 2,932 4,027 4,665 5,023 4,650 4,121 3,632 3,423 3,081 2,431 2,096

2005 Male 32,011 1,660 1,754 1,977 2,537 2,108 1,590 1,468 1,459 1,942 2,244 2,449 2,233 1,936 1,744 1,627 1,477 1,036 770

Female 32,958 1,588 1,675 1,848 2,183 1,665 1,471 1,364 1,473 2,085 2,421 2,574 2,417 2,185 1,888 1,796 1,604 1,395 1,326

Total 67,754 3,723 3,501 3,661 4,412 4,161 4,101 3,288 2,920 3,048 4,122 4,764 5,137 4,822 4,287 3,627 3,069 2,459 2,652

2010 Male 33,298 1,902 1,789 1,874 2,407 2,294 2,143 1,668 1,466 1,516 1,981 2,272 2,462 2,256 1,974 1,746 1,435 1,125 988

Female 34,456 1,821 1,712 1,787 2,005 1,867 1,958 1,620 1,454 1,532 2,141 2,492 2,675 2,566 2,313 1,881 1,634 1,334 1,664

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 70,769 4,231 3,977 3,707 4,205 3,871 4,516 4,364 3,367 3,011 3,100 4,187 4,857 5,307 5,012 4,289 3,265 2,475 3,028

2015 Male 34,700 2,160 2,029 1,892 2,278 2,172 2,347 2,242 1,660 1,510 1,537 1,995 2,274 2,480 2,300 1,986 1,551 1,107 1,180

Female 36,069 2,071 1,948 1,815 1,927 1,699 2,169 2,122 1,707 1,501 1,563 2,192 2,583 2,827 2,712 2,303 1,714 1,368 1,848

Total 74,349 4,427 4,543 4,238 4,315 3,712 4,156 4,878 4,523 3,483 3,083 3,170 4,295 5,048 5,551 5,051 3,902 2,668 3,306

2020 Male 36,428 2,258 2,317 2,160 2,337 2,074 2,197 2,498 2,268 1,715 1,543 1,560 2,012 2,308 2,549 2,334 1,786 1,218 1,294

Female 37,921 2,169 2,226 2,078 1,978 1,638 1,959 2,380 2,255 1,768 1,540 1,610 2,283 2,740 3,002 2,717 2,116 1,450 2,012

Total 77,749 4,425 4,749 4,835 4,880 3,803 3,978 4,470 5,075 4,691 3,562 3,153 3,258 4,474 5,293 5,611 4,621 3,221 3,650

2025 Male 38,108 2,256 2,420 2,463 2,633 2,124 2,088 2,325 2,545 2,349 1,750 1,565 1,577 2,045 2,379 2,599 2,116 1,420 1,454

Female 39,641 2,169 2,329 2,372 2,247 1,679 1,890 2,145 2,530 2,342 1,812 1,588 1,681 2,429 2,914 3,012 2,505 1,801 2,196


28

Change 790 2,785 3,015 3,580 3,400

Births 3,285 3,689 4,199 4,364 4,351

Deaths 4,296 4,632 4,890 5,097 5,341

Migration 1,801 3,728 3,706 4,313 4,390



Clallam County 100,000 90,000 80,000 70,000 60,000 50,000 Census/Est. High Intermediate Low

40,000 30,000

20,000 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

12,000

8,000


0

-4,000

-8,000

20 20

15 20

10 20

05 20

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

0 -9

5 -8

0 -8

5 -7

0 -7

5 -6

29


Clark County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 345,238 26,886 28,279 27,996 24,876 20,072 22,916 25,801 28,860 28,834 26,640 23,043 16,613 11,614 8,903 8,232 7,070 4,731 3,872

2000 Male 171,330 13,760 14,463 14,323 12,871 9,871 11,399 12,895 14,363 14,523 13,206 11,497 8,437 5,757 4,276 3,690 2,968 1,808 1,223

Female 173,908 13,126 13,816 13,673 12,005 10,201 11,517 12,906 14,497 14,311 13,434 11,546 8,176 5,857 4,627 4,542 4,102 2,923 2,649

Total 391,264 28,200 30,056 31,514 29,015 23,894 23,350 27,697 29,346 31,348 30,608 27,885 23,692 16,928 11,629 8,471 7,190 5,533 4,908

2005 Male 194,245 14,433 15,387 16,122 14,916 12,063 11,363 13,986 14,716 15,600 15,388 13,751 11,690 8,438 5,621 3,959 3,089 2,157 1,566

Female 197,019 13,767 14,669 15,392 14,099 11,831 11,987 13,711 14,630 15,748 15,220 14,134 12,002 8,490 6,008 4,512 4,101 3,376 3,342

Total 432,479 31,597 30,872 32,616 31,669 27,121 27,921 26,784 30,294 30,994 32,489 31,405 28,227 23,813 16,732 10,955 7,340 5,627 6,023

2010 Male 214,647 16,170 15,798 16,696 16,265 13,639 14,018 13,215 15,344 15,547 16,138 15,710 13,767 11,527 8,145 5,163 3,294 2,254 1,957

Female 217,832 15,427 15,074 15,920 15,404 13,482 13,903 13,569 14,950 15,447 16,351 15,695 14,460 12,286 8,587 5,792 4,046 3,373 4,066

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 473,674 35,390 34,194 33,173 32,337 29,391 31,262 31,493 28,826 31,628 31,874 33,085 31,583 28,199 23,449 15,740 9,505 5,759 6,786

2015 Male 234,903 18,108 17,495 16,969 16,606 14,773 15,625 16,027 14,265 16,018 15,961 16,349 15,632 13,501 11,089 7,490 4,316 2,426 2,253

Female 238,771 17,282 16,699 16,204 15,731 14,618 15,637 15,466 14,561 15,610 15,913 16,736 15,951 14,698 12,360 8,250 5,189 3,333 4,533

Total 509,876 38,023 37,575 35,980 32,218 29,425 33,669 34,011 33,087 29,493 32,017 32,080 32,968 31,267 27,536 21,975 13,655 7,497 7,400

2020 Male 252,458 19,446 19,217 18,398 16,520 14,775 16,858 17,179 16,888 14,589 16,181 15,984 16,119 15,201 12,889 10,168 6,280 3,209 2,557

Female 257,418 18,577 18,358 17,582 15,698 14,650 16,811 16,832 16,199 14,904 15,836 16,096 16,849 16,066 14,647 11,807 7,375 4,288 4,843

Total 544,809 39,361 40,244 39,412 34,866 29,198 33,742 36,367 35,612 33,805 29,781 32,194 31,995 32,671 30,561 25,866 19,192 10,877 9,065

2025 Male 269,305 20,125 20,577 20,149 17,869 14,643 16,889 18,391 18,028 17,257 14,704 16,193 15,784 15,698 14,548 11,861 8,596 4,732 3,261

Female 275,504 19,236 19,667 19,263 16,997 14,555 16,853 17,976 17,584 16,548 15,077 16,001 16,211 16,973 16,013 14,005 10,596 6,145 5,804


30

Change 46,026 41,215 41,195 36,202 34,933

Births 27,103 30,794 34,791 37,783 39,111

Deaths 11,741 13,510 15,408 17,688 20,531

Migration 30,664 23,931 21,812 16,107 16,353



Clark County 750,000 650,000 550,000 450,000 350,000 Census/Est. 250,000

High

150,000

Intermediate Low

50,000 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

50,000 40,000 30,000 20,000 10,000 0


-10,000 -20,000 -30,000 5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7 70 19 0 -7 65 19 5 -6 60 19

31


Columbia County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 4,064 217 268 291 295 186 161 202 270 294 315 323 275 214 190 185 183 113 82

2000 Male 1,982 95 135 144 166 93 77 105 130 140 161 166 134 103 86 89 88 44 26

Female 2,082 122 133 147 129 93 84 97 140 154 154 157 141 111 104 96 95 69 56

Total 3,914 165 228 283 241 192 194 173 211 278 298 314 314 262 197 167 153 136 108

2005 Male 1,907 85 100 143 125 97 102 81 110 135 142 161 161 130 95 74 70 61 35

Female 2,007 80 128 140 116 95 92 92 101 143 156 153 153 132 102 93 83 75 73

Total 4,000 187 190 261 256 179 203 234 197 233 298 311 319 308 249 177 141 117 140

2010 Male 1,956 96 98 113 134 84 109 122 94 122 143 148 164 159 124 85 60 50 51

Female 2,044 91 92 148 122 95 94 112 103 111 155 163 155 149 125 92 81 67 89

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 4,150 204 222 220 235 190 195 250 276 220 253 312 318 316 297 228 154 113 147

2015 Male 2,043 105 113 113 109 91 98 134 146 103 132 150 152 163 154 109 71 47 53

Female 2,107 99 109 107 126 99 97 116 130 117 121 162 166 153 143 119 83 66 94

Total 4,126 208 221 238 192 166 192 215 270 287 228 258 312 309 298 268 195 118 151

2020 Male 2,046 107 113 122 104 69 97 106 144 151 108 136 151 149 155 137 92 52 53

Female 2,080 101 108 116 88 97 95 109 126 136 120 122 161 160 143 131 103 66 98

Total 4,092 192 225 240 209 141 166 208 235 285 300 235 260 300 287 272 229 150 158

2025 Male 2,031 98 115 123 113 66 72 103 117 151 158 111 137 148 140 141 114 67 57

Female 2,061 94 110 117 96 75 94 105 118 134 142 124 123 152 147 131 115 83 101


32

Change -150 86 150 -24 -34

Births 174 189 202 209 192

Deaths 242 250 255 258 266

Migration -82 147 203 25 40



Columbia County 6,000 5,000 4,000 3,000 2,000


1,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

800 Births Deaths Migration

600 400 200 0 -200 -400 -600 -800

-2 5

0

5

0

-2

-1

15

20 20

20

10 20

-1

5 -0

0

0

-95

-0

00

05 20

20

95 19

90 19

-9

5

0

5

-8

-8

-7

5

-70

-6

80

85 19

19

75 19

70 19

65 19

60 19

33


Cowlitz County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 92,948 6,203 7,135 7,266 6,824 5,212 5,469 5,958 6,837 7,291 6,999 6,477 4,999 3,910 3,293 3,061 2,596 1,790 1,628

2000 Male 46,050 3,134 3,649 3,738 3,557 2,650 2,718 2,966 3,409 3,681 3,505 3,259 2,512 1,947 1,610 1,380 1,128 698 509

Female 46,898 3,069 3,486 3,528 3,267 2,562 2,751 2,992 3,428 3,610 3,494 3,218 2,487 1,963 1,683 1,681 1,468 1,092 1,119

Total 98,764 6,793 6,631 7,566 7,116 6,220 6,086 6,084 6,369 7,082 7,438 7,048 6,394 4,835 3,676 2,960 2,579 1,972 1,915

2005 Male 49,017 3,477 3,352 3,869 3,671 3,160 3,082 3,063 3,182 3,532 3,749 3,523 3,209 2,415 1,806 1,410 1,112 794 611

Female 49,747 3,316 3,279 3,697 3,445 3,060 3,004 3,021 3,187 3,550 3,689 3,525 3,185 2,420 1,870 1,550 1,467 1,178 1,304

Total 107,903 7,703 7,503 7,268 7,690 6,723 7,252 7,108 6,741 6,789 7,395 7,641 7,082 6,299 4,634 3,358 2,524 1,988 2,205

2010 Male 53,678 3,942 3,841 3,674 3,951 3,394 3,659 3,649 3,404 3,393 3,682 3,847 3,530 3,142 2,288 1,609 1,151 797 725

Female 54,225 3,761 3,662 3,594 3,739 3,329 3,593 3,459 3,337 3,396 3,713 3,794 3,552 3,157 2,346 1,749 1,373 1,191 1,480

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 117,163 8,757 8,399 8,127 7,278 7,198 7,732 8,300 7,733 7,092 7,023 7,533 7,617 6,920 6,007 4,226 2,862 1,950 2,409

2015 Male 58,406 4,480 4,299 4,158 3,693 3,622 3,876 4,247 3,982 3,582 3,506 3,745 3,825 3,434 2,965 2,041 1,319 833 799

Female 58,757 4,277 4,100 3,969 3,585 3,576 3,856 4,053 3,751 3,510 3,517 3,788 3,792 3,486 3,042 2,185 1,543 1,117 1,610

Total 126,797 9,372 9,499 9,051 8,116 6,792 8,223 8,764 8,990 8,099 7,314 7,147 7,503 7,446 6,602 5,489 3,624 2,236 2,530

2020 Male 63,324 4,799 4,864 4,632 4,170 3,373 4,112 4,449 4,616 4,170 3,691 3,565 3,723 3,725 3,246 2,653 1,689 970 877

Female 63,473 4,573 4,635 4,419 3,946 3,419 4,111 4,315 4,374 3,929 3,623 3,582 3,780 3,721 3,356 2,836 1,935 1,266 1,653

Total 136,114 9,702 10,120 10,188 9,004 7,527 7,759 9,238 9,444 9,383 8,317 7,427 7,118 7,331 7,103 6,037 4,729 2,851 2,836

2025 Male 68,043 4,969 5,183 5,217 4,628 3,788 3,832 4,674 4,807 4,821 4,280 3,744 3,547 3,626 3,525 2,912 2,212 1,256 1,022

Female 68,071 4,733 4,937 4,971 4,376 3,739 3,927 4,564 4,637 4,562 4,037 3,683 3,571 3,705 3,578 3,125 2,517 1,595 1,814


34

Change 5,816 9,139 9,260 9,634 9,317

Births 6,720 7,493 8,595 9,219 9,577

Deaths 4,177 4,433 4,749 5,095 5,548

Migration 3,273 6,079 5,414 5,510 5,288



Cowlitz County 180,000 160,000 140,000 120,000 100,000 80,000 60,000


40,000 20,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

12,000

8,000


0

-4,000

-8,000

20 20

15 20

10 20

05 20

00 20

5 -2

0 -2

-15

0 -1

5 -0

0 -0

5 -9

0 -9

90

95 19

19

85 19

5 -8

0 -8

5 -7

75

80 19

19

70 19

5 -6

0 -7

60

65 19

19

35


Douglas County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 32,603 2,464 2,683 2,815 2,595 1,712 1,806 1,932 2,541 2,609 2,438 2,003 1,612 1,255 1,174 1,039 888 574 463

2000 Male 16,155 1,257 1,337 1,485 1,324 853 890 943 1,267 1,272 1,225 1,026 785 623 567 486 405 241 169

Female 16,448 1,207 1,346 1,330 1,271 859 916 989 1,274 1,337 1,213 977 827 632 607 553 483 333 294

Total 36,257 2,505 2,747 2,986 2,912 2,489 1,986 2,176 2,193 2,755 2,765 2,542 2,046 1,630 1,242 1,107 902 689 585

2005 Male 17,957 1,282 1,403 1,489 1,543 1,239 980 1,088 1,074 1,373 1,346 1,273 1,041 785 607 523 406 293 212

Female 18,300 1,223 1,344 1,497 1,369 1,250 1,006 1,088 1,119 1,382 1,419 1,269 1,005 845 635 584 496 396 373

Total 39,196 2,969 2,698 2,928 2,939 2,671 2,903 2,216 2,330 2,274 2,813 2,794 2,536 2,020 1,579 1,154 950 697 725

2010 Male 19,395 1,518 1,380 1,494 1,469 1,385 1,439 1,106 1,168 1,114 1,400 1,355 1,260 1,016 748 553 434 293 263

Female 19,801 1,451 1,318 1,434 1,470 1,286 1,464 1,110 1,162 1,160 1,413 1,439 1,276 1,004 831 601 516 404 462

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 42,302 3,403 3,166 2,851 2,851 2,682 3,072 3,188 2,335 2,393 2,308 2,828 2,773 2,489 1,948 1,465 991 736 823

2015 Male 20,962 1,741 1,621 1,458 1,459 1,312 1,585 1,601 1,169 1,199 1,128 1,402 1,335 1,223 968 686 461 317 297

Female 21,340 1,662 1,545 1,393 1,392 1,370 1,487 1,587 1,166 1,194 1,180 1,426 1,438 1,266 980 779 530 419 526

Total 44,920 3,585 3,555 3,275 2,713 2,546 3,074 3,247 3,278 2,353 2,389 2,295 2,777 2,699 2,385 1,797 1,260 776 916

2020 Male 22,274 1,834 1,820 1,676 1,390 1,274 1,499 1,694 1,653 1,179 1,197 1,119 1,369 1,287 1,158 881 571 340 333

Female 22,646 1,751 1,735 1,599 1,323 1,272 1,575 1,553 1,625 1,174 1,192 1,176 1,408 1,412 1,227 916 689 436 583

Total 47,428 3,561 3,751 3,675 3,122 2,428 2,931 3,240 3,339 3,306 2,351 2,378 2,262 2,713 2,596 2,212 1,558 1,000 1,005

2025 Male 23,536 1,822 1,920 1,881 1,600 1,217 1,466 1,596 1,747 1,667 1,177 1,187 1,098 1,324 1,225 1,062 743 430 374

Female 23,892 1,739 1,831 1,794 1,522 1,211 1,465 1,644 1,592 1,639 1,174 1,191 1,164 1,389 1,371 1,150 815 570 631


36

Change 3,654 2,939 3,106 2,618 2,508

Births 2,429 2,938 3,395 3,619 3,588

Deaths 1,363 1,526 1,658 1,800 1,942

Migration 2,588 1,527 1,369 799 862



Douglas County 60,000 50,000 40,000 30,000 20,000


10,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

4,000 3,000 2,000 1,000 Births Deaths Migration

0 -1,000 -2,000 -3,000

20 20

15 20

10 20

05 20

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

0 -9

5 -8

0 -8

5 -7

0 -7

5 -6

37


Ferry County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 7,260 394 503 589 695 321 316 356 459 568 670 586 459 429 343 216 192 95 69

2000 Male 3,764 200 264 313 405 167 151 171 221 285 365 305 218 236 194 117 90 40 22

Female 3,496 194 239 276 290 154 165 185 238 283 305 281 241 193 149 99 102 55 47

Total 7,901 391 465 583 728 354 370 409 429 522 626 722 619 474 435 331 193 154 96

2005 Male 4,081 201 236 307 424 184 187 199 209 250 312 394 323 226 239 186 102 68 34

Female 3,820 190 229 276 304 170 183 210 220 272 314 328 296 248 196 145 91 86 62

Total 8,384 425 451 532 709 377 391 458 476 476 563 659 752 635 478 410 290 153 149

2010 Male 4,307 217 231 271 410 198 196 235 233 230 271 330 410 331 229 223 159 77 56

Female 4,077 208 220 261 299 179 195 223 243 246 292 329 342 304 249 187 131 76 93

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 8,827 451 487 510 656 366 407 478 528 519 508 592 689 769 637 456 364 230 180

2015 Male 4,512 232 249 261 373 190 209 242 271 253 244 285 345 421 334 216 194 119 74

Female 4,315 219 238 249 283 176 198 236 257 266 264 307 344 348 303 240 170 111 106

Total 9,429 458 533 559 656 337 414 515 567 593 569 544 623 709 778 617 412 294 251

2020 Male 4,804 233 273 286 376 170 211 267 291 305 277 263 299 356 426 321 189 149 112

Female 4,625 225 260 273 280 167 203 248 276 288 292 281 324 353 352 296 223 145 139

Total 10,008 454 542 614 714 329 384 527 616 640 649 611 573 641 718 754 558 340 344

2025 Male 5,083 231 278 313 409 168 189 271 320 327 332 297 277 310 362 412 283 149 155

Female 4,925 223 264 301 305 161 195 256 296 313 317 314 296 331 356 342 275 191 189


38

Change 641 483 443 602 579

Births 384 421 445 446 438

Deaths 292 371 437 514 592

Migration 549 433 435 670 733



Ferry County 14,000 12,000 10,000 8,000 6,000 Census/Est.

4,000


2,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

1,200

800

400

0


-400

-800

5 -2

0 -2

5 -1

15

20 20

20

10 20

-10

5 -0

0 -0

5 -9

05 20

00 20

95 19

90 19

5 -8

0 -9

80

85 19

19

5 -7

0 -8

70

75 19

19

5 -6

0 -7

60

65 19

19

39


Franklin County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 49,347 4,933 4,861 4,466 4,503 3,668 3,675 3,464 3,442 3,305 3,131 2,492 1,817 1,390 1,207 1,114 878 603 398

2000 Male 25,752 2,594 2,514 2,335 2,439 2,004 1,945 1,888 1,760 1,770 1,663 1,285 941 721 575 505 393 271 149

Female 23,595 2,339 2,347 2,131 2,064 1,664 1,730 1,576 1,682 1,535 1,468 1,207 876 669 632 609 485 332 249

Total 52,642 5,656 4,996 4,852 4,159 4,039 4,193 3,589 3,385 3,369 3,213 3,006 2,331 1,627 1,182 988 881 638 538

2005 Male 27,394 2,893 2,626 2,509 2,210 2,219 2,249 1,868 1,827 1,722 1,718 1,599 1,208 849 609 448 374 262 204

Female 25,248 2,763 2,370 2,343 1,949 1,820 1,944 1,721 1,558 1,647 1,495 1,407 1,123 778 573 540 507 376 334

Total 56,392 5,943 5,782 5,029 4,547 3,769 4,618 4,132 3,521 3,327 3,286 3,092 2,816 2,094 1,393 968 785 646 644

2010 Male 29,337 3,042 2,959 2,645 2,390 2,044 2,493 2,188 1,815 1,798 1,679 1,658 1,509 1,096 726 480 336 252 227

Female 27,055 2,901 2,823 2,384 2,157 1,725 2,125 1,944 1,706 1,529 1,607 1,434 1,307 998 667 488 449 394 417

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 60,216 6,259 6,084 5,836 4,713 4,120 4,243 4,561 4,066 3,464 3,251 3,167 2,901 2,533 1,799 1,144 770 581 724

2015 Male 31,342 3,211 3,120 2,994 2,519 2,205 2,257 2,431 2,138 1,790 1,757 1,626 1,571 1,373 942 575 362 229 242

Female 28,874 3,048 2,964 2,842 2,194 1,915 1,986 2,130 1,928 1,674 1,494 1,541 1,330 1,160 857 569 408 352 482

Total 64,687 6,485 6,471 6,215 5,562 4,326 4,609 4,276 4,563 4,046 3,423 3,166 2,993 2,635 2,196 1,492 919 574 736

2020 Male 33,666 3,332 3,325 3,192 2,898 2,347 2,422 2,241 2,417 2,132 1,770 1,721 1,551 1,442 1,190 754 440 251 241

Female 31,021 3,153 3,146 3,023 2,664 1,979 2,187 2,035 2,146 1,914 1,653 1,445 1,442 1,193 1,006 738 479 323 495

Total 68,997 6,840 6,669 6,572 5,890 5,048 4,843 4,616 4,251 4,520 3,974 3,318 2,993 2,714 2,281 1,821 1,207 691 749

2025 Male 35,891 3,519 3,431 3,381 3,072 2,661 2,584 2,395 2,210 2,399 2,096 1,724 1,641 1,423 1,249 954 581 310 261

Female 33,106 3,321 3,238 3,191 2,818 2,387 2,259 2,221 2,041 2,121 1,878 1,594 1,352 1,291 1,032 867 626 381 488


40

Change 3,295 3,750 3,824 4,471 4,310

Births 5,782 6,076 6,451 6,683 7,123

Deaths 1,460 1,546 1,617 1,678 1,770

Migration -1,027 -780 -1,010 -534 -1,043



Franklin County 90,000 80,000 70,000 60,000 50,000 40,000 Census/Est.

30,000

High

20,000

Intermediate

10,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

8,000 6,000 4,000 Births Deaths Migration

2,000 0 -2,000 -4,000

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

10

15 20

20

05 20

00 20

95 19

0 -9

5 -8

85

90 19

19

80 19

0 -8

5 -7

0 -7

5 -6

70

75 19

19

65 19

60 19

41


Garfield County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 2,397 110 162 199 206 74 81 107 159 178 222 162 116 120 139 106 114 73 69

2000 Male 1,186 56 82 107 108 40 41 45 79 91 112 80 66 57 65 47 58 28 24

Female 1,211 54 80 92 98 34 40 62 80 87 110 82 50 63 74 59 56 45 45

Total 2,436 125 124 181 174 133 86 100 125 176 191 232 167 117 117 128 91 88 81

2005 Male 1,203 64 64 92 94 67 47 51 53 88 98 117 82 66 55 58 38 42 27

Female 1,233 61 60 89 80 66 39 49 72 88 93 115 85 51 62 70 53 46 54

Total 2,510 145 142 139 159 110 160 108 116 136 186 198 241 169 114 107 112 72 96

2010 Male 1,236 75 73 71 81 58 80 60 60 57 92 101 120 83 64 49 49 27 36

Female 1,274 70 69 68 78 52 80 48 56 79 94 97 121 86 50 58 63 45 60

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 2,596 162 162 157 119 102 129 191 122 125 144 193 205 242 164 104 93 87 95

2015 Male 1,283 83 84 81 61 51 68 96 66 65 61 95 105 120 80 58 41 35 33

Female 1,313 79 78 76 58 51 61 95 56 60 83 98 100 122 84 46 52 52 62

Total 2,668 159 180 180 136 79 118 153 213 129 131 147 194 199 231 149 88 74 108

2020 Male 1,325 81 93 93 71 40 58 81 109 70 68 63 96 103 114 71 47 30 37

Female 1,343 78 87 87 65 39 60 72 104 59 63 84 98 96 117 78 41 44 71

Total 2,734 146 175 201 157 91 89 140 171 231 138 137 150 190 195 215 131 69 108

2025 Male 1,359 74 90 103 81 46 45 70 90 118 74 72 63 94 100 105 61 35 38

Female 1,375 72 85 98 76 45 44 70 81 113 64 65 87 96 95 110 70 34 70


42

Change 39 74 86 72 66

Births 128 149 166 158 145

Deaths 157 161 161 165 165

Migration 68 86 81 79 86



Garfield County 3,500 3,000 2,500 2,000 1,500 Census/Est. 1,000


500

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

600 400 200 0 -200 Births Deaths Migration

-400 -600

-2 5

0

5

0

-2

-1

15

20 20

20

10 20

-1

0

5

5 -0

-0

00

05 20

20

95 19

-9

5

0 -9

-8

85

90 19

19

0

5

-8

-7

0

-65

-7

75

80 19

19

70 19

65 19

60 19

43


Grant County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 74,698 6,524 6,600 6,719 6,519 4,883 4,907 4,855 5,181 5,206 4,770 4,075 3,239 2,602 2,479 2,202 1,830 1,216 891

2000 Male 38,177 3,330 3,432 3,453 3,493 2,634 2,556 2,519 2,655 2,649 2,465 2,080 1,678 1,283 1,199 1,032 838 533 348

Female 36,521 3,194 3,168 3,266 3,026 2,249 2,351 2,336 2,526 2,557 2,305 1,995 1,561 1,319 1,280 1,170 992 683 543

Total 82,397 7,501 7,005 7,032 6,624 5,971 5,682 5,523 5,232 5,396 5,331 4,819 4,035 3,143 2,457 2,238 1,856 1,385 1,167

2005 Male 42,037 3,838 3,575 3,655 3,414 3,120 3,050 2,912 2,722 2,764 2,708 2,485 2,052 1,620 1,196 1,056 833 591 446

Female 40,360 3,663 3,430 3,377 3,210 2,851 2,632 2,611 2,510 2,632 2,623 2,334 1,983 1,523 1,261 1,182 1,023 794 721

Total 88,331 8,075 7,817 7,201 6,643 5,848 6,988 5,964 5,648 5,245 5,348 5,243 4,668 3,836 2,914 2,185 1,866 1,407 1,435

2010 Male 45,069 4,133 4,001 3,677 3,462 2,946 3,654 3,237 2,988 2,730 2,736 2,661 2,402 1,944 1,488 1,042 846 590 532

Female 43,262 3,942 3,816 3,524 3,181 2,902 3,334 2,727 2,660 2,515 2,612 2,582 2,266 1,892 1,426 1,143 1,020 817 903

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 92,806 8,354 8,242 7,868 6,624 5,757 6,771 7,057 5,914 5,544 5,121 5,191 5,021 4,388 3,521 2,577 1,819 1,418 1,619

2015 Male 47,380 4,282 4,224 4,031 3,389 2,935 3,420 3,733 3,221 2,937 2,667 2,656 2,546 2,252 1,769 1,293 836 604 585

Female 45,426 4,072 4,018 3,837 3,235 2,822 3,351 3,324 2,693 2,607 2,454 2,535 2,475 2,136 1,752 1,284 983 814 1,034

Total 95,715 8,373 8,386 8,140 7,106 5,638 6,635 6,599 6,841 5,704 5,340 4,922 4,934 4,692 4,004 3,109 2,144 1,394 1,754

2020 Male 48,903 4,297 4,303 4,177 3,646 2,819 3,399 3,365 3,637 3,110 2,829 2,564 2,523 2,375 2,042 1,538 1,042 604 633

Female 46,812 4,076 4,083 3,963 3,460 2,819 3,236 3,234 3,204 2,594 2,511 2,358 2,411 2,317 1,962 1,571 1,102 790 1,121

Total 98,395 8,352 8,413 8,296 7,378 6,055 6,498 6,466 6,415 6,613 5,500 5,138 4,698 4,623 4,292 3,549 2,612 1,657 1,840

2025 Male 50,268 4,290 4,321 4,262 3,790 3,036 3,266 3,341 3,282 3,521 2,999 2,723 2,446 2,359 2,160 1,782 1,253 765 672

Female 48,127 4,062 4,092 4,034 3,588 3,019 3,232 3,125 3,133 3,092 2,501 2,415 2,252 2,264 2,132 1,767 1,359 892 1,168


44

Change 7,699 5,934 4,475 2,909 2,680

Births 7,430 8,161 8,582 8,721 8,711

Deaths 2,840 3,096 3,284 3,432 3,560

Migration 3,109 869 -823 -2,380 -2,471



Grant County 140,000 120,000 100,000 80,000 60,000 Census/Est. High Intermediate Low

40,000 20,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

12,000 8,000 4,000 0 -4,000 Births Deaths Migration

-8,000 -12,000

0 -7

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

45


Grays Harbor County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 67,194 4,185 4,599 5,176 5,147 3,467 3,581 4,003 4,673 5,229 5,150 4,743 3,791 3,129 2,804 2,569 2,309 1,453 1,186

2000 Male 33,390 2,131 2,364 2,699 2,664 1,800 1,818 2,056 2,287 2,567 2,634 2,364 1,882 1,516 1,378 1,234 987 609 400

Female 33,804 2,054 2,235 2,477 2,483 1,667 1,763 1,947 2,386 2,662 2,516 2,379 1,909 1,613 1,426 1,335 1,322 844 786

Total 66,490 4,145 4,195 4,541 5,249 4,313 3,919 3,366 3,812 4,478 5,049 4,945 4,489 3,499 2,801 2,420 2,099 1,718 1,452

2005 Male 33,040 2,120 2,134 2,333 2,716 2,409 1,964 1,649 1,915 2,164 2,473 2,527 2,237 1,738 1,349 1,162 967 681 502

Female 33,450 2,025 2,061 2,208 2,533 1,904 1,955 1,717 1,897 2,314 2,576 2,418 2,252 1,761 1,452 1,258 1,132 1,037 950

Total 68,878 4,502 4,404 4,404 4,949 4,657 4,867 4,062 3,424 3,850 4,516 5,030 4,820 4,274 3,236 2,483 2,020 1,589 1,791

2010 Male 34,264 2,300 2,249 2,238 2,533 2,586 2,632 1,962 1,626 1,906 2,178 2,461 2,464 2,133 1,602 1,172 931 684 607

Female 34,614 2,202 2,155 2,166 2,416 2,071 2,235 2,100 1,798 1,944 2,338 2,569 2,356 2,141 1,634 1,311 1,089 905 1,184

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 71,761 4,953 4,782 4,634 4,812 4,412 5,210 5,066 4,143 3,451 3,890 4,503 4,909 4,596 3,965 2,883 2,087 1,543 1,922

2015 Male 35,775 2,531 2,441 2,366 2,440 2,432 2,810 2,668 1,950 1,614 1,924 2,171 2,405 2,354 1,974 1,401 949 668 677

Female 35,986 2,422 2,341 2,268 2,372 1,980 2,400 2,398 2,193 1,837 1,966 2,332 2,504 2,242 1,991 1,482 1,138 875 1,245

Total 74,605 5,126 5,235 5,007 5,044 4,280 4,897 5,409 5,153 4,168 3,478 3,875 4,396 4,683 4,266 3,544 2,433 1,613 1,998

2020 Male 37,285 2,619 2,675 2,557 2,571 2,344 2,622 2,850 2,664 1,938 1,625 1,919 2,125 2,303 2,184 1,738 1,143 690 718

Female 37,320 2,507 2,560 2,450 2,473 1,936 2,275 2,559 2,489 2,230 1,853 1,956 2,271 2,380 2,082 1,806 1,290 923 1,280

Total 77,269 5,137 5,408 5,473 5,435 4,477 4,745 5,062 5,517 5,191 4,191 3,463 3,786 4,195 4,350 3,818 3,009 1,894 2,118

2025 Male 38,693 2,625 2,765 2,797 2,771 2,464 2,522 2,645 2,859 2,656 1,946 1,619 1,880 2,037 2,140 1,929 1,430 843 765

Female 38,576 2,512 2,643 2,676 2,664 2,013 2,223 2,417 2,658 2,535 2,245 1,844 1,906 2,158 2,210 1,889 1,579 1,051 1,353


46

Change -704 2,388 2,883 2,844 2,664

Births 4,253 4,489 4,942 5,126 5,141

Deaths 3,346 3,472 3,553 3,632 3,742

Migration -1,611 1,371 1,494 1,350 1,265



Grays Harbor County 100,000 90,000 80,000 70,000 60,000 50,000 40,000


30,000 20,000 10,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

6,000 4,000 2,000 0 Births Deaths Migration

-2,000 -4,000 -6,000

5 -6

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7 70 19 0 -7

65 19

60 19

47


Island County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 71,558 4,781 5,179 5,259 4,734 4,402 4,449 4,695 5,574 5,314 5,120 4,572 3,955 3,313 2,917 2,610 2,362 1,378 944

2000 Male 35,846 2,494 2,699 2,674 2,516 2,451 2,418 2,396 2,825 2,588 2,414 2,223 1,832 1,633 1,411 1,260 1,071 619 322

Female 35,712 2,287 2,480 2,585 2,218 1,951 2,031 2,299 2,749 2,726 2,706 2,349 2,123 1,680 1,506 1,350 1,291 759 622

Total 74,738 4,663 5,000 5,360 4,470 4,374 4,692 4,453 4,793 5,389 5,501 5,278 4,705 4,122 3,456 2,922 2,341 1,880 1,339

2005 Male 37,267 2,380 2,595 2,792 2,342 2,472 2,620 2,252 2,415 2,649 2,666 2,462 2,247 1,861 1,671 1,418 1,110 810 505

Female 37,471 2,283 2,405 2,568 2,128 1,902 2,072 2,201 2,378 2,740 2,835 2,816 2,458 2,261 1,785 1,504 1,231 1,070 834

Total 80,650 4,753 5,102 5,402 4,777 4,315 4,693 4,973 4,754 4,779 5,766 5,834 5,678 5,119 4,496 3,593 2,724 1,938 1,954

2010 Male 40,024 2,424 2,590 2,803 2,560 2,409 2,666 2,598 2,370 2,326 2,824 2,803 2,605 2,388 1,993 1,743 1,300 878 744

Female 40,626 2,329 2,512 2,599 2,217 1,906 2,027 2,375 2,384 2,453 2,942 3,031 3,073 2,731 2,503 1,850 1,424 1,060 1,210

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 87,416 4,974 5,289 5,584 4,840 4,507 4,719 4,927 5,437 4,823 5,189 6,187 6,308 6,215 5,622 4,720 3,388 2,288 2,399

2015 Male 43,137 2,534 2,683 2,833 2,584 2,539 2,643 2,587 2,813 2,321 2,519 3,006 2,986 2,788 2,583 2,108 1,623 1,046 941

Female 44,279 2,440 2,606 2,751 2,256 1,968 2,076 2,340 2,624 2,502 2,670 3,181 3,322 3,427 3,039 2,612 1,765 1,242 1,458

Total 94,365 5,131 5,527 5,778 5,025 4,549 4,932 5,006 5,319 5,566 5,238 5,578 6,699 6,919 6,841 5,934 4,491 2,879 2,953

2020 Male 46,347 2,613 2,801 2,929 2,625 2,552 2,789 2,599 2,759 2,799 2,512 2,687 3,208 3,207 3,025 2,749 1,984 1,328 1,181

Female 48,018 2,518 2,726 2,849 2,400 1,997 2,143 2,407 2,560 2,767 2,726 2,891 3,491 3,712 3,816 3,185 2,507 1,551 1,772

Total 101,079 5,254 5,680 6,021 5,205 4,724 4,957 5,277 5,418 5,342 6,030 5,623 6,051 7,355 7,631 7,237 5,667 3,863 3,744

2025 Male 49,496 2,673 2,878 3,048 2,721 2,615 2,791 2,794 2,779 2,677 3,025 2,677 2,873 3,451 3,491 3,231 2,602 1,643 1,527

Female 51,583 2,581 2,802 2,973 2,484 2,109 2,166 2,483 2,639 2,665 3,005 2,946 3,178 3,904 4,140 4,006 3,065 2,220 2,217


48

Change 3,180 5,912 6,766 6,949 6,714

Births 4,774 4,749 4,939 5,080 5,185

Deaths 3,259 3,807 4,402 5,118 5,953

Migration 1,665 4,970 6,229 6,987 7,482



Island County 140,000 120,000 100,000 80,000 60,000 Census/Est. 40,000

High Intermediate

20,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

12,000

8,000


0

-4,000

-8,000

20 20

15 20

10 20

05 20

00 20

5 -2

0 -2

-15

0 -1

5 -0

0 -0

0 -9

95 0-

95 19

9 19

85 19

5 -8

5 -7

80 5-

80 19

7 19

70 19

0 -7

65 0-

65 19

6 19

49


Jefferson County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 26,299 1,059 1,409 1,640 1,555 849 903 1,200 1,577 2,149 2,398 2,412 2,008 1,659 1,582 1,450 1,205 698 546

2000 Male 13,042 522 703 834 828 471 470 610 779 1,045 1,153 1,175 974 812 832 720 573 333 208

Female 13,257 537 706 806 727 378 433 590 798 1,104 1,245 1,237 1,034 847 750 730 632 365 338

Total 28,308 1,117 1,245 1,622 1,490 1,051 1,069 1,141 1,405 1,755 2,335 2,574 2,631 2,225 1,848 1,678 1,368 1,008 746

2005 Male 13,890 570 613 808 780 555 592 596 704 854 1,121 1,211 1,252 1,044 882 882 667 456 303

Female 14,418 547 632 814 710 496 477 545 701 901 1,214 1,363 1,379 1,181 966 796 701 552 443

Total 30,892 1,252 1,357 1,460 1,490 1,020 1,399 1,390 1,367 1,597 1,937 2,540 2,825 2,935 2,496 1,983 1,604 1,161 1,079

2010 Male 15,012 639 691 717 764 530 739 774 704 787 929 1,193 1,299 1,353 1,143 946 829 539 436

Female 15,880 613 666 743 726 490 660 616 663 810 1,008 1,347 1,526 1,582 1,353 1,037 775 622 643

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 34,067 1,415 1,545 1,619 1,351 1,032 1,384 1,853 1,695 1,576 1,784 2,123 2,799 3,169 3,318 2,700 1,915 1,376 1,413

2015 Male 16,426 720 787 824 685 526 720 984 935 796 867 994 1,288 1,412 1,492 1,238 899 681 578

Female 17,641 695 758 795 666 506 664 869 760 780 917 1,129 1,511 1,757 1,826 1,462 1,016 695 835

Total 37,483 1,510 1,747 1,839 1,499 941 1,387 1,828 2,269 1,957 1,758 1,959 2,345 3,149 3,594 3,609 2,633 1,671 1,788

2020 Male 17,962 768 888 934 784 475 708 954 1,195 1,066 877 930 1,073 1,404 1,564 1,630 1,192 752 768

Female 19,521 742 859 905 715 466 679 874 1,074 891 881 1,029 1,272 1,745 2,030 1,979 1,441 919 1,020

Total 40,807 1,542 1,871 2,084 1,705 1,042 1,272 1,838 2,257 2,633 2,191 1,933 2,169 2,645 3,581 3,921 3,542 2,324 2,257

2025 Male 19,470 783 950 1,058 890 543 645 941 1,169 1,371 1,183 946 1,007 1,173 1,564 1,717 1,584 1,013 933

Female 21,337 759 921 1,026 815 499 627 897 1,088 1,262 1,008 987 1,162 1,472 2,017 2,204 1,958 1,311 1,324


50

Change 2,009 2,584 3,175 3,416 3,324

Births 1,109 1,214 1,356 1,426 1,444

Deaths 1,689 2,047 2,412 2,812 3,263

Migration 2,589 3,417 4,231 4,802 5,143



Jefferson County 60,000 50,000 40,000 30,000 Census/Est.

20,000

High Intermediate

10,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


4,000

2,000

0

-2,000

-4,000

20 20

15 20

10 20

05 20

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

-2

-2

-1

-1

-0

-0

-9

-9

-8

-8

-7

-7

-6

5

0

5

0

5

0

5

0

5

0

5

0

5

51


King County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 1,737,034 105,321 111,162 109,992 108,261 116,597 141,795 152,648 155,539 153,284 139,186 119,950 83,442 58,085 46,229 42,655 40,168 28,180 24,540

2000 Male 864,457 54,057 57,096 56,242 55,357 58,784 72,818 79,126 79,210 77,598 69,026 59,442 41,709 28,723 21,929 18,672 16,561 10,800 7,307

Female 872,577 51,264 54,066 53,750 52,904 57,813 68,977 73,522 76,329 75,686 70,160 60,508 41,733 29,362 24,300 23,983 23,607 17,380 17,233

Total 1,786,803 111,483 103,405 106,658 112,949 129,640 126,364 140,315 147,375 149,731 147,553 133,685 114,342 77,213 51,773 39,637 35,197 30,253 29,230

2005 Male 890,795 57,039 53,073 54,777 56,761 65,612 64,625 72,461 76,657 76,229 74,580 66,204 56,530 38,352 25,100 17,951 14,492 11,405 8,947

Female 896,008 54,444 50,332 51,881 56,188 64,028 61,739 67,854 70,718 73,502 72,973 67,481 57,812 38,861 26,673 21,686 20,705 18,848 20,283

Total 1,861,042 114,158 111,297 99,970 111,715 141,631 148,118 127,178 136,645 142,717 144,434 141,921 127,802 106,266 69,206 44,623 32,960 26,827 33,574

2010 Male 929,857 58,418 56,946 51,308 56,242 70,662 76,205 65,429 70,833 74,258 73,446 71,675 63,188 52,234 33,767 20,723 14,088 10,140 10,295

Female 931,185 55,740 54,351 48,662 55,473 70,969 71,913 61,749 65,812 68,459 70,988 70,246 64,614 54,032 35,439 23,900 18,872 16,687 23,279

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 1,940,385 120,832 113,964 107,701 105,153 141,592 162,089 149,221 123,570 132,233 137,843 139,006 135,784 118,862 95,516 59,928 37,338 25,330 34,423

2015 Male 971,409 61,844 58,326 55,109 52,893 70,863 82,118 77,288 63,822 68,570 71,677 70,654 68,511 58,496 46,183 28,099 16,440 10,001 10,515

Female 968,976 58,988 55,638 52,592 52,260 70,729 79,971 71,933 59,748 63,663 66,166 68,352 67,273 60,366 49,333 31,829 20,898 15,329 23,908

Total 2,018,824 126,235 120,669 110,366 113,459 133,380 160,964 163,279 145,397 119,610 127,917 133,072 133,361 126,686 107,179 83,198 50,528 28,973 34,551

2020 Male 1,011,595 64,631 61,776 56,497 56,904 66,654 81,790 83,135 75,634 61,799 66,287 69,195 67,746 63,680 51,952 38,709 22,538 11,852 10,816

Female 1,007,229 61,604 58,893 53,869 56,555 66,726 79,174 80,144 69,763 57,811 61,630 63,877 65,615 63,006 55,227 44,489 27,990 17,121 23,735

Total 2,092,390 129,546 125,896 116,723 116,608 143,948 151,254 161,881 159,060 140,788 115,505 123,402 127,790 124,492 114,336 93,497 70,512 39,532 37,620

2025 Male 1,048,313 66,349 64,480 59,774 58,513 71,773 76,762 82,624 81,267 73,286 59,639 63,951 66,448 63,041 56,685 43,669 31,263 16,453 12,336

Female 1,044,077 63,197 61,416 56,949 58,095 72,175 74,492 79,257 77,793 67,502 55,866 59,451 61,342 61,451 57,651 49,828 39,249 23,079 25,284


52

Change 49,769 74,239 79,343 78,439 73,566

Births 110,969 112,049 118,416 123,577 126,814

Deaths 65,465 68,298 71,185 75,409 81,850

Migration 4,265 30,488 32,112 30,271 28,602



King County 2,500,000

2,000,000

1,500,000

1,000,000 Census/Est. High Intermediate Low

500,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

150,000

100,000

50,000

0


-50,000

-100,000

0 -0

5 -9

0 -9

5 -8

0 -8

5 -7

0 -7

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0

00 20

95 19

90 19

85 19

80 19

75 19

70 19

65 19

60 19

53


Kitsap County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 231,969 15,536 17,468 18,194 17,170 15,047 14,076 15,802 19,237 19,640 18,775 16,559 11,723 8,189 6,526 6,055 5,254 3,637 3,081

2000 Male 117,510 8,095 8,969 9,356 9,110 8,534 7,520 8,065 9,952 9,778 9,237 8,259 5,944 4,145 3,166 2,753 2,253 1,441 933

Female 114,459 7,441 8,499 8,838 8,060 6,513 6,556 7,737 9,285 9,862 9,538 8,300 5,779 4,044 3,360 3,302 3,001 2,196 2,148

Total 236,403 15,341 14,809 17,480 16,779 16,752 15,953 13,775 15,699 18,878 19,170 18,272 15,994 11,178 7,647 5,858 5,066 3,985 3,767

2005 Male 119,603 7,839 7,717 8,965 8,668 9,621 8,308 7,237 8,029 9,750 9,514 8,939 7,898 5,579 3,786 2,762 2,203 1,585 1,203

Female 116,800 7,502 7,092 8,515 8,111 7,131 7,645 6,538 7,670 9,128 9,656 9,333 8,096 5,599 3,861 3,096 2,863 2,400 2,564

Total 257,841 16,804 15,855 16,239 17,869 17,767 17,558 18,147 15,260 16,740 19,719 19,771 18,518 16,018 10,976 7,146 5,056 3,951 4,447

2010 Male 130,409 8,590 8,104 8,463 9,255 9,934 9,174 9,355 8,044 8,566 10,173 9,778 8,989 7,803 5,376 3,453 2,290 1,603 1,459

Female 127,432 8,214 7,751 7,776 8,614 7,833 8,384 8,792 7,216 8,174 9,546 9,993 9,529 8,215 5,600 3,693 2,766 2,348 2,988

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 281,883 19,042 17,398 17,430 16,614 18,836 18,587 19,991 20,087 16,278 17,528 20,358 20,050 18,566 15,770 10,300 6,203 3,970 4,875

2015 Male 142,406 9,737 8,895 8,912 8,741 10,477 9,488 10,326 10,388 8,582 8,960 10,469 9,846 8,897 7,543 4,935 2,891 1,686 1,633

Female 139,477 9,305 8,503 8,518 7,873 8,359 9,099 9,665 9,699 7,696 8,568 9,889 10,204 9,669 8,227 5,365 3,312 2,284 3,242

Total 307,113 20,288 19,755 19,079 17,834 17,618 19,725 21,118 22,109 21,371 17,027 18,109 20,659 20,123 18,302 14,868 9,007 4,912 5,209

2020 Male 154,858 10,372 10,098 9,752 9,203 9,975 10,086 10,656 11,455 11,050 8,962 9,225 10,548 9,758 8,617 6,963 4,170 2,158 1,810

Female 152,255 9,916 9,657 9,327 8,631 7,643 9,639 10,462 10,654 10,321 8,065 8,884 10,111 10,365 9,685 7,905 4,837 2,754 3,399

Total 331,571 20,792 21,049 21,587 19,469 18,785 18,345 22,312 23,264 23,480 22,278 17,557 18,382 20,725 19,847 17,289 13,077 7,206 6,127

2025 Male 166,886 10,627 10,756 11,032 10,039 10,443 9,537 11,294 11,765 12,167 11,498 9,211 9,301 10,458 9,467 7,976 5,923 3,154 2,238

Female 164,685 10,165 10,293 10,555 9,430 8,342 8,808 11,018 11,499 11,313 10,780 8,346 9,081 10,267 10,380 9,313 7,154 4,052 3,889


54

Change 4,434 21,438 24,042 25,230 24,458

Births 15,617 16,328 18,489 19,643 20,133

Deaths 8,711 9,372 10,398 11,710 13,475

Migration -2,472 14,482 15,951 17,297 17,800



Kitsap County 450,000 400,000 350,000 300,000 250,000 200,000 Census/Est.

150,000

High

100,000

Intermediate Low

50,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

30,000

20,000


0

-10,000

-20,000

20

0

5

5 -2

-2

-1

0

0

5

0

5 -0

-1

20

15 20

10 20

05 20

-0

-9

00 20

95 19

90 19

5 -8

5

0 -8

-9

80

85 19

19

-7

0

-65

-7

75 19

70 19

65 19

60 19

55


Kittitas County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 33,362 1,706 1,870 1,990 3,264 5,249 2,078 1,787 2,066 2,281 2,168 2,014 1,646 1,372 1,097 884 794 543 553

2000 Male 16,575 836 971 1,019 1,624 2,635 1,111 911 1,011 1,125 1,091 991 809 703 555 439 342 217 185

Female 16,787 870 899 971 1,640 2,614 967 876 1,055 1,156 1,077 1,023 837 669 542 445 452 326 368

Total 34,314 1,869 1,746 1,892 3,183 5,931 2,276 1,591 1,810 2,049 2,236 2,109 1,931 1,545 1,261 968 725 594 598

2005 Male 17,068 956 856 982 1,602 3,033 1,140 800 926 1,001 1,100 1,059 948 757 641 481 348 239 199

Female 17,246 913 890 910 1,581 2,898 1,136 791 884 1,048 1,136 1,050 983 788 620 487 377 355 399

Total 36,742 2,060 2,076 1,927 3,225 5,925 2,547 2,008 1,769 1,942 2,152 2,315 2,134 1,918 1,502 1,169 829 563 681

2010 Male 18,284 1,055 1,063 946 1,645 3,034 1,325 927 894 994 1,052 1,138 1,071 941 732 587 398 253 229

Female 18,458 1,005 1,013 981 1,580 2,891 1,222 1,081 875 948 1,100 1,177 1,063 977 770 582 431 310 452

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 39,451 2,273 2,294 2,300 3,257 5,899 2,656 2,222 2,242 1,904 2,046 2,231 2,347 2,125 1,873 1,400 1,012 651 719

2015 Male 19,630 1,163 1,176 1,179 1,603 3,040 1,407 1,074 1,040 962 1,047 1,090 1,152 1,065 915 673 492 294 258

Female 19,821 1,110 1,118 1,121 1,654 2,859 1,249 1,148 1,202 942 999 1,141 1,195 1,060 958 727 520 357 461

Total 41,776 2,364 2,475 2,484 3,637 5,856 2,712 2,297 2,415 2,353 1,967 2,089 2,231 2,309 2,046 1,729 1,212 792 808

2020 Male 20,810 1,211 1,268 1,271 1,842 2,965 1,456 1,153 1,172 1,093 994 1,068 1,090 1,134 1,021 834 567 365 306

Female 20,966 1,153 1,207 1,213 1,795 2,891 1,256 1,144 1,243 1,260 973 1,021 1,141 1,175 1,025 895 645 427 502

Total 43,999 2,410 2,554 2,650 3,873 6,284 2,684 2,372 2,478 2,522 2,415 1,993 2,080 2,185 2,214 1,884 1,495 955 951

2025 Male 21,927 1,237 1,309 1,359 1,962 3,222 1,379 1,217 1,247 1,225 1,120 1,006 1,063 1,066 1,084 932 702 424 373

Female 22,072 1,173 1,245 1,291 1,911 3,062 1,305 1,155 1,231 1,297 1,295 987 1,017 1,119 1,130 952 793 531 578


56

Change 952 2,428 2,709 2,325 2,223

Births 1,910 2,048 2,244 2,350 2,411

Deaths 1,341 1,404 1,504 1,643 1,796

Migration 383 1,784 1,969 1,618 1,608



Kittitas County 60,000 50,000 40,000 30,000 20,000


10,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


4,000

2,000

0

-2,000

-4,000

20 20 -2

-2

5

0

0

5

0

5

5 -1

-1

-0

-0

10

15 20

20

05 20

00 20

95 19

-9

5

0

0 -9

-8

-8

85

90 19

19

80 19

0

5

5 -7

-7

-6

70

75 19

19

65 19

60 19

57


Klickitat County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 19,161 1,229 1,367 1,604 1,449 780 934 1,040 1,326 1,621 1,607 1,474 1,156 930 772 671 473 400 328

2000 Male 9,555 614 686 791 784 390 459 526 635 814 781 782 592 467 389 348 210 165 122

Female 9,606 615 681 813 665 390 475 514 691 807 826 692 564 463 383 323 263 235 206

Total 20,338 1,242 1,396 1,541 1,563 880 875 1,153 1,201 1,456 1,737 1,690 1,502 1,149 898 706 572 366 411

2005 Male 10,128 635 698 773 795 459 425 575 610 697 872 820 798 588 449 349 285 152 148

Female 10,210 607 698 768 768 421 450 578 591 759 865 870 704 561 449 357 287 214 263

Total 21,626 1,346 1,430 1,585 1,504 961 1,009 1,079 1,337 1,330 1,572 1,830 1,726 1,498 1,107 825 608 439 440

2010 Male 10,773 688 732 791 776 470 514 534 671 676 751 916 839 795 566 404 290 205 155

Female 10,853 658 698 794 728 491 495 545 666 654 821 914 887 703 541 421 318 234 285

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 23,071 1,470 1,558 1,629 1,538 928 1,116 1,257 1,254 1,481 1,433 1,655 1,873 1,718 1,444 1,021 713 474 509

2015 Male 11,494 751 798 834 789 462 532 652 621 742 727 790 940 836 764 512 337 212 195

Female 11,577 719 760 795 749 466 584 605 633 739 706 865 933 882 680 509 376 262 314

Total 24,493 1,536 1,693 1,767 1,583 950 1,059 1,379 1,459 1,386 1,596 1,513 1,691 1,862 1,658 1,335 884 561 581

2020 Male 12,202 786 867 904 829 470 515 668 761 686 799 768 808 936 806 698 430 249 222

Female 12,291 750 826 863 754 480 544 711 698 700 797 745 883 926 852 637 454 312 359

Total 25,855 1,556 1,766 1,922 1,721 976 1,085 1,308 1,602 1,613 1,490 1,683 1,550 1,685 1,802 1,541 1,162 704 689

2025 Male 12,866 797 903 983 903 495 524 645 780 841 737 842 788 808 905 738 588 325 264

Female 12,989 759 863 939 818 481 561 663 822 772 753 841 762 877 897 803 574 379 425


58

Change 1,177 1,288 1,445 1,422 1,362

Births 1,241 1,343 1,460 1,521 1,537

Deaths 897 969 1,070 1,182 1,307

Migration 833 914 1,055 1,083 1,132



Klickitat County 35,000 30,000 25,000 20,000 15,000 10,000


5,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

2,000

1,000


-1,000

-2,000

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

10

15 20

20

05 20

00 20

95 19

0 -9

5 -8

0 -8

85

90 19

19

80 19

5 -7

0 -7

5 -6

70

75 19

19

65 19

60 19

59


Lewis County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 68,600 4,397 4,752 5,445 5,555 3,673 3,535 3,853 4,654 5,267 5,147 4,683 3,739 3,233 2,854 2,564 2,237 1,617 1,395

2000 Male 34,005 2,216 2,433 2,799 2,998 1,877 1,795 1,961 2,227 2,638 2,577 2,351 1,849 1,606 1,360 1,233 985 652 448

Female 34,595 2,181 2,319 2,646 2,557 1,796 1,740 1,892 2,427 2,629 2,570 2,332 1,890 1,627 1,494 1,331 1,252 965 947

Total 73,005 4,939 4,745 5,096 5,855 4,775 4,189 4,016 4,180 4,875 5,423 5,233 4,675 3,676 3,108 2,625 2,185 1,715 1,695

2005 Male 36,223 2,527 2,391 2,610 3,070 2,512 2,086 2,066 2,134 2,332 2,712 2,613 2,335 1,804 1,525 1,225 1,012 705 564

Female 36,782 2,412 2,354 2,486 2,785 2,263 2,103 1,950 2,046 2,543 2,711 2,620 2,340 1,872 1,583 1,400 1,173 1,010 1,131

Total 77,493 5,691 5,294 5,031 5,418 5,011 5,476 4,625 4,265 4,319 4,953 5,453 5,184 4,566 3,518 2,845 2,234 1,676 1,934

2010 Male 38,500 2,910 2,708 2,535 2,833 2,567 2,825 2,331 2,200 2,205 2,364 2,719 2,574 2,263 1,706 1,369 1,004 729 658

Female 38,993 2,781 2,586 2,496 2,585 2,444 2,651 2,294 2,065 2,114 2,589 2,734 2,610 2,303 1,812 1,476 1,230 947 1,276

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84

Total 81,251 6,275 5,956 5,478 5,204 4,527 5,698 5,793 4,748 4,298 4,309 4,904 5,332 5,002 4,321 3,203 2,413 1,723

2015 Male 40,438 3,211 3,048 2,801 2,680 2,312 2,867 3,022 2,401 2,217 2,197 2,336 2,646 2,466 2,118 1,529 1,123 728

Female 40,813 3,064 2,908 2,677 2,524 2,215 2,831 2,771 2,347 2,081 2,112 2,568 2,686 2,536 2,203 1,674 1,290 995

Total 86,070 6,464 6,649 6,258 5,755 4,421 5,097 6,181 6,072 4,851 4,346 4,317 4,847 5,199 4,781 3,980 2,751 1,885

2020 Male 42,941 3,308 3,404 3,202 3,005 2,221 2,551 3,147 3,181 2,456 2,241 2,199 2,300 2,565 2,337 1,926 1,274 830

Female 43,129 3,156 3,245 3,056 2,750 2,200 2,546 3,034 2,891 2,395 2,105 2,118 2,547 2,634 2,444 2,054 1,477 1,055

Total 90,678 6,561 6,843 6,975 6,534 4,899 4,973 5,509 6,476 6,206 4,896 4,356 4,274 4,734 4,984 4,409 3,439 2,171

2025 Male 45,306 3,359 3,505 3,572 3,409 2,501 2,450 2,786 3,306 3,253 2,475 2,242 2,170 2,235 2,442 2,129 1,618 954

Female 45,372 3,202 3,338 3,403 3,125 2,398 2,523 2,723 3,170 2,953 2,421 2,114 2,104 2,499 2,542 2,280 1,821 1,217


60

Change 4,405 4,488 3,758 4,819 4,608

Births 4,876 5,655 6,310 6,461 6,570

Deaths 3,525 3,714 3,873 4,027 4,235

Migration 3,054 2,547 1,321 2,385 2,273



Lewis County 120,000 100,000 80,000 60,000 Census/Est.

40,000

High Intermediate

20,000

Low 0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

8,000 6,000 4,000 2,000 0


-2,000 -4,000 -6,000

20 20 5 -2

5

0 -2

-1

0 -1

5 -0

0 -0

10

15 20

20

05 20

00 20

95 19

0

5 -9

-9

5 -8

85

90 19

19

80 19

5

0 -8

-7

0 -7

5 -6

70

75 19

19

65 19

60 19

61


Lincoln County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 10,184 584 675 802 726 315 394 491 662 815 827 713 637 611 536 448 386 277 285

2000 Male 5,050 314 357 425 366 152 205 230 316 399 424 352 308 309 267 217 192 123 94

Female 5,134 270 318 377 360 163 189 261 346 416 403 361 329 302 269 231 194 154 191

Total 10,095 554 631 729 665 440 368 451 538 695 844 840 704 611 570 475 376 291 313

2005 Male 5,014 284 339 386 355 213 177 237 254 332 413 431 350 299 290 233 175 136 110

Female 5,081 270 292 343 310 227 191 214 284 363 431 409 354 312 280 242 201 155 203

Total 10,386 596 631 714 634 428 529 450 519 590 743 881 850 691 580 515 408 288 339

2010 Male 5,157 306 324 384 338 221 252 219 275 279 355 432 438 347 284 259 193 126 125

Female 5,229 290 307 330 296 207 277 231 244 311 388 449 412 344 296 256 215 162 214

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 11,004 666 711 731 631 419 546 678 535 588 647 793 907 843 658 533 442 316 360

2015 Male 5,471 341 363 375 341 216 280 330 264 312 305 379 446 439 331 260 215 140 134

Female 5,533 325 348 356 290 203 266 348 271 276 342 414 461 404 327 273 227 176 226

Total 11,918 719 817 838 659 423 559 730 836 623 656 699 825 904 808 606 465 347 404

2020 Male 5,941 369 418 428 341 220 290 381 410 305 346 330 396 450 425 301 219 160 152

Female 5,977 350 399 410 318 203 269 349 426 318 310 369 429 454 383 305 246 187 252

Total 12,802 749 869 956 752 437 549 729 890 962 689 706 727 823 872 744 532 367 449

2025 Male 6,412 384 445 489 387 217 288 381 468 473 338 374 346 399 438 388 257 165 175

Female 6,390 365 424 467 365 220 261 348 422 489 351 332 381 424 434 356 275 202 274


62

Change -89 291 618 914 884

Births 575 599 655 692 727

Deaths 629 634 651 679 715

Migration -35 326 614 901 872



Lincoln County 18,000 16,000 14,000 12,000 10,000 8,000 6,000


4,000 2,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

1,500 1,000 500 Births Deaths Migration

0 -500 -1,000 -1,500

20 20 -2

-2

5

0

5

0

5

0

5

-1

-1

-0

-0

10

15 20

20

05 20

00 20

95 19

-9

0

5

0

-9

-8

85

90 19

19

80 19

-8

5

0

5

-7

-7

-6

70

75 19

19

65 19

60 19

63


Mason County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 49,405 2,663 3,181 3,540 3,524 2,507 2,594 2,882 3,596 4,008 3,830 3,392 2,862 2,677 2,451 2,253 1,684 1,003 758

2000 Male 25,536 1,395 1,639 1,814 1,869 1,481 1,478 1,615 1,863 2,083 1,974 1,729 1,399 1,310 1,239 1,120 816 437 275

Female 23,869 1,268 1,542 1,726 1,655 1,026 1,116 1,267 1,733 1,925 1,856 1,663 1,463 1,367 1,212 1,133 868 566 483

Total 53,789 2,819 3,100 3,646 3,706 2,736 2,714 3,011 3,160 3,924 4,364 4,104 3,633 3,067 2,845 2,485 2,066 1,369 1,040

2005 Male 27,690 1,440 1,622 1,875 1,995 1,627 1,557 1,616 1,663 1,975 2,261 2,102 1,832 1,477 1,375 1,251 1,004 628 390

Female 26,099 1,379 1,478 1,771 1,711 1,109 1,157 1,395 1,497 1,949 2,103 2,002 1,801 1,590 1,470 1,234 1,062 741 650

Total 58,604 3,047 3,350 3,594 3,799 2,845 3,011 3,173 3,347 3,472 4,307 4,704 4,408 3,907 3,276 2,904 2,298 1,705 1,457

2010 Male 30,013 1,555 1,708 1,879 2,049 1,695 1,736 1,714 1,684 1,772 2,161 2,423 2,234 1,943 1,562 1,402 1,134 788 574

Female 28,591 1,492 1,642 1,715 1,750 1,150 1,275 1,459 1,663 1,700 2,146 2,281 2,174 1,964 1,714 1,502 1,164 917 883

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 64,007 3,306 3,661 3,910 3,753 2,915 3,197 3,532 3,567 3,717 3,839 4,670 5,061 4,750 4,184 3,363 2,712 1,917 1,953

2015 Male 32,620 1,687 1,868 1,994 2,050 1,730 1,853 1,910 1,811 1,814 1,956 2,332 2,585 2,380 2,065 1,606 1,286 905 788

Female 31,387 1,619 1,793 1,916 1,703 1,185 1,344 1,622 1,756 1,903 1,883 2,338 2,476 2,370 2,119 1,757 1,426 1,012 1,165

Total 69,635 3,468 3,957 4,270 4,068 2,879 3,260 3,789 3,943 3,948 4,103 4,166 5,033 5,459 5,098 4,316 3,166 2,289 2,423

2020 Male 35,346 1,769 2,019 2,178 2,177 1,729 1,883 2,078 1,995 1,950 1,999 2,114 2,492 2,759 2,538 2,139 1,489 1,039 999

Female 34,289 1,699 1,938 2,092 1,891 1,150 1,377 1,711 1,948 1,998 2,104 2,052 2,541 2,700 2,560 2,177 1,677 1,250 1,424

Total 75,088 3,570 4,128 4,594 4,418 3,100 3,193 3,855 4,255 4,349 4,344 4,443 4,496 5,432 5,870 5,265 4,077 2,699 3,000

2025 Male 38,030 1,819 2,106 2,344 2,363 1,825 1,870 2,116 2,210 2,137 2,140 2,155 2,263 2,663 2,951 2,636 1,993 1,219 1,220

Female 37,058 1,751 2,022 2,250 2,055 1,275 1,323 1,739 2,045 2,212 2,204 2,288 2,233 2,769 2,919 2,629 2,084 1,480 1,780


64

Change 4,384 4,815 5,403 5,628 5,453

Births 2,784 2,985 3,216 3,361 3,458

Deaths 2,510 3,011 3,534 4,040 4,576

Migration 4,110 4,841 5,721 6,307 6,571



Mason County 120,000 100,000 80,000 60,000 40,000

Census/Est. High

20,000

Intermediate

Low 0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


0 -2,000 -4,000 -6,000

20 20 5 -2

0 -2

0 -1

5 -0

0 -0

15 0-

15 20

1 20

05 20

00 20

95 19

5 -9

5 -8

0 -8

90 5-

90 19

8 19

80 19

0 -7

5 -6

75 0-

75 19

7 19

65 19

60 19

65


Okanogan County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 39,564 2,493 3,008 3,374 3,137 1,831 2,132 2,193 2,603 3,154 3,171 2,766 2,242 1,903 1,646 1,431 1,097 721 662

2000 Male 19,706 1,287 1,485 1,705 1,620 965 1,116 1,085 1,256 1,522 1,623 1,374 1,152 975 808 692 517 291 233

Female 19,858 1,206 1,523 1,669 1,517 866 1,016 1,108 1,347 1,632 1,548 1,392 1,090 928 838 739 580 430 429

Total 41,458 2,671 2,768 3,328 2,898 1,985 2,133 2,547 2,472 2,811 3,329 3,290 2,801 2,224 1,838 1,516 1,226 841 780

2005 Male 20,640 1,367 1,430 1,643 1,479 984 1,115 1,352 1,226 1,356 1,604 1,682 1,389 1,139 934 729 570 371 270

Female 20,818 1,304 1,338 1,685 1,419 1,001 1,018 1,195 1,246 1,455 1,725 1,608 1,412 1,085 904 787 656 470 510

Total 44,061 2,744 3,050 3,123 2,905 1,870 2,388 2,612 2,933 2,716 3,003 3,496 3,361 2,801 2,167 1,706 1,309 953 924

2010 Male 21,960 1,404 1,561 1,613 1,448 919 1,177 1,384 1,563 1,348 1,447 1,682 1,715 1,385 1,103 853 607 417 334

Female 22,101 1,340 1,489 1,510 1,457 951 1,211 1,228 1,370 1,368 1,556 1,814 1,646 1,416 1,064 853 702 536 590

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 46,315 2,838 3,087 3,404 2,703 1,870 2,187 2,867 2,953 3,180 2,880 3,126 3,549 3,346 2,722 2,013 1,476 1,023 1,091

2015 Male 23,110 1,451 1,578 1,742 1,409 900 1,067 1,435 1,572 1,695 1,429 1,506 1,708 1,705 1,339 1,010 713 447 404

Female 23,205 1,387 1,509 1,662 1,294 970 1,120 1,432 1,381 1,485 1,451 1,620 1,841 1,641 1,383 1,003 763 576 687

Total 47,920 2,812 3,139 3,398 2,909 1,708 2,142 2,558 3,185 3,154 3,334 2,981 3,156 3,517 3,241 2,530 1,743 1,160 1,253

2020 Male 23,890 1,438 1,606 1,740 1,502 859 1,021 1,264 1,599 1,678 1,777 1,479 1,517 1,689 1,646 1,228 849 531 467

Female 24,030 1,374 1,533 1,658 1,407 849 1,121 1,294 1,586 1,476 1,557 1,502 1,639 1,828 1,595 1,302 894 629 786

Total 49,410 2,730 3,133 3,482 2,934 1,858 1,951 2,536 2,875 3,428 3,325 3,467 3,028 3,148 3,432 3,030 2,215 1,390 1,448

2025 Male 24,599 1,397 1,604 1,780 1,515 927 972 1,224 1,423 1,721 1,767 1,845 1,501 1,514 1,644 1,519 1,043 644 559

Female 24,811 1,333 1,529 1,702 1,419 931 979 1,312 1,452 1,707 1,558 1,622 1,527 1,634 1,788 1,511 1,172 746 889


66

Change 1,894 2,603 2,254 1,605 1,490

Births 2,719 2,743 2,849 2,829 2,731

Deaths 1,817 1,996 2,202 2,400 2,605

Migration 992 1,856 1,607 1,176 1,364



Okanogan County 70,000 60,000 50,000 40,000 30,000 Census/Est. 20,000

High Intermediate

10,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

5,000 4,000 3,000 2,000 1,000 0


-1,000 -2,000 -3,000

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

10

15 20

20

05 20

00 20

95 19

0 -9

5 -8

0 -8

85

90 19

19

80 19

5 -7

0 -7

5 -6

70

75 19

19

65 19

60 19

67


Pacific County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 20,984 963 1,139 1,457 1,424 768 799 964 1,197 1,479 1,685 1,487 1,432 1,455 1,319 1,289 1,001 628 498

2000 Male 10,402 502 588 727 799 410 416 485 584 692 852 745 689 682 654 637 484 274 182

Female 10,582 461 551 730 625 358 383 479 613 787 833 742 743 773 665 652 517 354 316

Total 20,957 918 1,047 1,230 1,370 833 842 895 1,048 1,261 1,531 1,729 1,512 1,452 1,461 1,274 1,129 783 642

2005 Male 10,337 469 545 635 715 455 439 464 526 614 714 868 751 690 678 629 545 359 241

Female 10,620 449 502 595 655 378 403 431 522 647 817 861 761 762 783 645 584 424 401

Total 21,257 956 1,026 1,161 1,215 840 910 979 1,002 1,130 1,332 1,598 1,782 1,555 1,483 1,429 1,131 898 830

2010 Male 10,464 488 525 604 655 428 485 507 516 568 647 742 888 763 700 662 548 412 326

Female 10,793 468 501 557 560 412 425 472 486 562 685 856 894 792 783 767 583 486 504

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 21,725 997 1,066 1,143 1,159 747 908 1,062 1,094 1,081 1,195 1,394 1,675 1,862 1,617 1,473 1,298 918 1,036

2015 Male 10,672 509 544 585 632 393 445 562 565 557 599 674 772 919 790 697 590 425 414

Female 11,053 488 522 558 527 354 463 500 529 524 596 720 903 943 827 776 708 493 622

Total 22,228 976 1,114 1,191 1,156 712 799 1,058 1,187 1,182 1,148 1,255 1,477 1,771 1,958 1,623 1,356 1,072 1,193

2020 Male 10,901 498 568 608 621 380 408 516 626 610 591 626 709 807 962 794 629 468 480

Female 11,327 478 546 583 535 332 391 542 561 572 557 629 768 964 996 829 727 604 713

Total 22,678 933 1,098 1,244 1,214 710 764 940 1,199 1,295 1,261 1,208 1,338 1,567 1,872 1,977 1,506 1,135 1,417

2025 Male 11,125 477 560 634 651 373 395 476 582 684 650 619 664 746 849 977 726 506 556

Female 11,553 456 538 610 563 337 369 464 617 611 611 589 674 821 1,023 1,000 780 629 861


68

Change -27 300 468 503 450

Births 946 969 997 971 920

Deaths 1,435 1,584 1,701 1,792 1,895

Migration 462 915 1,172 1,324 1,425



Pacific County 30,000 25,000 20,000 15,000 10,000


5,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

2,000 1,500 1,000 500 0 -500


-1,000 -1,500 -2,000 -2,500

20 20 -2

-2

5

0

5

0

5

0

5

-1

-1

-0

-0

10

15 20

20

05 20

00 20

95 19

-9

0

5

0

-9

-8

85

90 19

19

80 19

-8

5

0

5

-7

-7

-6

70

75 19

19

65 19

60 19

69


Pend Oreille County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 11,732 637 813 1,022 879 382 418 541 839 991 1,030 976 802 652 572 472 344 233 129

2000 Male 5,881 349 405 518 435 209 191 243 386 495 538 510 408 355 287 238 169 100 45

Female 5,851 288 408 504 444 173 227 298 453 496 492 466 394 297 285 234 175 133 84

Total 12,679 649 763 949 914 582 494 547 659 962 1,099 1,114 1,034 826 650 541 416 270 210

2005 Male 6,333 333 418 474 466 277 270 255 297 442 549 581 540 418 350 263 200 123 77

Female 6,346 316 345 475 448 305 224 292 362 520 550 533 494 408 300 278 216 147 133

Total 13,674 737 780 890 845 602 759 643 658 751 1,062 1,178 1,167 1,060 826 617 479 335 285

2010 Male 6,800 377 398 487 424 298 359 355 308 339 488 587 607 551 414 323 224 152 109

Female 6,874 360 382 403 421 304 400 288 350 412 574 591 560 509 412 294 255 183 176

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 14,711 819 874 898 785 556 769 969 766 744 823 1,132 1,234 1,196 1,057 784 547 388 370

2015 Male 7,283 419 447 458 432 269 378 468 426 348 372 519 614 621 542 383 275 170 142

Female 7,428 400 427 440 353 287 391 501 340 396 451 613 620 575 515 401 272 218 228

Total 15,706 833 958 1,003 793 514 691 971 1,148 860 807 878 1,188 1,267 1,191 1,002 700 439 463

2020 Male 7,733 424 490 512 408 274 334 484 558 478 378 395 544 627 611 503 329 208 176

Female 7,973 409 468 491 385 240 357 487 590 382 429 483 644 640 580 499 371 231 287

Total 16,662 811 981 1,107 888 524 644 873 1,154 1,291 936 863 927 1,222 1,266 1,136 903 576 560

2025 Male 8,172 415 500 565 456 260 341 428 579 626 520 403 416 558 622 570 438 254 221

Female 8,490 396 481 542 432 264 303 445 575 665 416 460 511 664 644 566 465 322 339


70

Change 947 995 1,037 995 956

Births 642 726 803 809 785

Deaths 556 661 770 875 970

Migration 861 930 1,004 1,061 1,141



Pend Oreille County 25,000

20,000

15,000

10,000 Census/Est. High Intermediate Low

5,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

3,000 2,500

Births

2,000

Deaths Migration

1,500 1,000 500 0 -500 -1,000 -1,500

20 20 -2

-2

5

0

5

0

5

0

5

-1

-1

-0

-0

-9

10

15 20

20

05 20

00 20

95 19

0

5

0

-9

-8

-8

85

90 19

19

80 19

5

0

5

-7

-7

-6

70

75 19

19

65 19

60 19

71


Pierce County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 700,820 49,861 53,862 55,016 52,775 47,645 48,113 53,033 59,615 58,793 51,096 43,478 32,142 23,771 20,266 17,888 15,048 10,149 8,269

2000 Male 348,557 25,541 27,679 28,215 27,070 24,792 24,611 26,667 30,106 29,382 25,301 21,570 15,975 11,474 9,634 7,870 6,114 4,045 2,511

Female 352,263 24,320 26,183 26,801 25,705 22,853 23,502 26,366 29,509 29,411 25,795 21,908 16,167 12,297 10,632 10,018 8,934 6,104 5,758

Total 740,838 51,690 50,652 55,657 54,018 54,605 50,419 48,636 54,213 60,285 59,165 50,911 42,605 30,900 22,246 18,119 14,993 11,434 10,290

2005 Male 368,685 26,444 25,942 28,596 28,039 27,882 26,206 24,579 27,355 30,202 29,511 25,123 20,998 15,169 10,499 8,306 6,263 4,276 3,295

Female 372,153 25,246 24,710 27,061 25,979 26,723 24,213 24,057 26,858 30,083 29,654 25,788 21,607 15,731 11,747 9,813 8,730 7,158 6,995

Total 788,580 55,275 53,279 53,025 55,374 56,092 57,799 51,755 50,187 55,355 61,150 59,389 50,232 41,296 29,175 20,053 15,281 11,500 12,363

2010 Male 392,692 28,279 27,253 27,150 28,809 28,952 29,415 26,606 25,449 27,711 30,587 29,538 24,639 20,115 14,035 9,148 6,674 4,446 3,886

Female 395,888 26,996 26,026 25,875 26,565 27,140 28,384 25,149 24,738 27,644 30,563 29,851 25,593 21,181 15,140 10,905 8,607 7,054 8,477

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 840,557 59,735 57,098 56,048 52,950 57,499 58,979 59,590 53,582 51,364 56,386 61,568 58,737 48,806 39,160 26,437 17,036 11,808 13,774

2015 Male 418,722 30,561 29,208 28,662 27,464 29,747 30,366 29,933 27,640 25,828 28,195 30,718 29,059 23,683 18,716 12,336 7,427 4,801 4,378

Female 421,835 29,174 27,890 27,386 25,486 27,752 28,613 29,657 25,942 25,536 28,191 30,850 29,678 25,123 20,444 14,101 9,609 7,007 9,396

Total 892,454 62,035 61,636 59,948 56,002 55,204 60,326 60,890 61,635 54,725 52,273 56,827 60,942 57,137 46,345 35,634 22,595 13,305 14,995

2020 Male 444,539 31,738 31,526 30,655 29,008 28,488 31,129 30,996 31,052 28,005 26,249 28,350 30,250 27,983 22,091 16,541 10,111 5,421 4,946

Female 447,915 30,297 30,110 29,293 26,994 26,716 29,197 29,894 30,583 26,720 26,024 28,477 30,692 29,154 24,254 19,093 12,484 7,884 10,049

Total 942,157 62,816 64,032 64,707 59,959 58,230 57,730 62,432 63,113 63,009 55,655 52,699 56,361 59,382 54,375 42,293 30,641 17,805 16,918

2025 Male 469,009 32,133 32,751 33,089 31,047 30,012 29,716 31,888 32,216 31,484 28,441 26,402 27,987 29,196 26,190 19,603 13,661 7,482 5,711

Female 473,148 30,683 31,281 31,618 28,912 28,218 28,014 30,544 30,897 31,525 27,214 26,297 28,374 30,186 28,185 22,690 16,980 10,323 11,207


72

Change 40,018 47,742 51,977 51,897 49,703

Births 51,676 54,905 59,334 61,572 62,294

Deaths 24,681 27,015 29,524 32,446 36,064

Migration 13,023 19,852 22,167 22,771 23,473



Pierce County 1,200,000 1,000,000 800,000 600,000 400,000


200,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


0 -20,000 -40,000 -60,000

-7 0

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

73


San Juan County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 14,077 525 729 942 726 413 464 561 867 1,160 1,396 1,490 1,175 959 759 656 599 368 288

2000 Male 6,860 261 366 478 384 220 232 270 410 528 671 705 589 488 401 337 259 166 95

Female 7,217 264 363 464 342 193 232 291 457 632 725 785 586 471 358 319 340 202 193

Total 15,480 504 650 870 856 488 563 631 707 1,021 1,312 1,551 1,639 1,303 1,061 803 619 506 396

2005 Male 7,502 257 323 436 437 250 300 321 344 482 594 740 763 639 530 422 312 206 146

Female 7,978 247 327 434 419 238 263 310 363 539 718 811 876 664 531 381 307 300 250

Total 17,316 582 653 797 805 588 720 799 825 856 1,181 1,485 1,720 1,839 1,457 1,139 773 532 565

2010 Male 8,358 297 333 395 406 291 370 434 424 414 555 666 807 836 701 569 399 256 205

Female 8,958 285 320 402 399 297 350 365 401 442 626 819 913 1,003 756 570 374 276 360

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 19,168 687 729 789 725 547 818 979 1,011 979 976 1,319 1,639 1,918 2,049 1,559 1,097 664 683

2015 Male 9,209 350 371 402 362 267 405 511 552 502 470 614 722 878 915 750 539 328 271

Female 9,959 337 358 387 363 280 413 468 459 477 506 705 917 1,040 1,134 809 558 336 412

Total 20,877 738 839 863 708 488 723 1,078 1,208 1,172 1,093 1,077 1,448 1,823 2,130 2,187 1,501 943 858

2020 Male 9,979 375 427 439 363 235 351 541 635 639 560 514 663 787 959 978 710 444 359

Female 10,898 363 412 424 345 253 372 537 573 533 533 563 785 1,036 1,171 1,209 791 499 499

Total 22,534 742 908 996 783 478 654 963 1,340 1,413 1,316 1,214 1,189 1,610 2,033 2,281 2,122 1,309 1,183

2025 Male 10,731 377 462 506 402 236 314 477 674 742 716 618 559 722 862 1,032 937 596 499

Female 11,803 365 446 490 381 242 340 486 666 671 600 596 630 888 1,171 1,249 1,185 713 684


74

Change 1,403 1,836 1,852 1,709 1,657

Births 486 551 648 692 686

Deaths 868 1,060 1,270 1,524 1,818

Migration 1,785 2,345 2,474 2,541 2,789



San Juan County 30,000 25,000 20,000 15,000 Census/Est.

10,000

High Intermediate

5,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

4,000 3,000 2,000 1,000 0 -1,000 Births Deaths Migration

-2,000 -3,000

0 -7

5 -6

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7 70

19

65 19

60 19

75


Skagit County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 102,979 6,718 7,560 7,894 7,927 5,826 5,871 6,492 7,452 7,932 7,862 7,007 5,167 4,237 3,731 3,790 3,236 2,293 1,984

2000 Male 50,982 3,448 3,853 4,028 4,156 3,002 2,934 3,268 3,723 3,867 3,903 3,483 2,564 2,101 1,776 1,784 1,476 937 679

Female 51,997 3,270 3,707 3,866 3,771 2,824 2,937 3,224 3,729 4,065 3,959 3,524 2,603 2,136 1,955 2,006 1,760 1,356 1,305

Total 113,136 7,412 7,435 8,330 8,608 7,315 6,694 6,861 7,190 7,908 8,343 8,186 7,212 5,325 4,330 3,641 3,350 2,546 2,450

2005 Male 56,014 3,793 3,817 4,244 4,415 3,744 3,419 3,476 3,633 3,945 4,057 4,038 3,539 2,592 2,105 1,716 1,534 1,095 852

Female 57,122 3,619 3,618 4,086 4,193 3,571 3,275 3,385 3,557 3,963 4,286 4,148 3,673 2,733 2,225 1,925 1,816 1,451 1,598

Total 123,807 8,568 8,157 8,117 8,939 7,899 8,445 7,647 7,461 7,537 8,235 8,617 8,379 7,400 5,424 4,216 3,222 2,651 2,893

2010 Male 61,314 4,383 4,173 4,165 4,578 3,963 4,293 3,957 3,794 3,804 4,099 4,165 4,082 3,562 2,592 2,033 1,479 1,148 1,044

Female 62,493 4,185 3,984 3,952 4,361 3,936 4,152 3,690 3,667 3,733 4,136 4,452 4,297 3,838 2,832 2,183 1,743 1,503 1,849

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 135,717 9,777 9,383 8,877 8,669 8,224 9,011 9,605 8,272 7,799 7,833 8,483 8,805 8,581 7,539 5,296 3,744 2,569 3,250

2015 Male 67,235 5,000 4,799 4,538 4,466 4,125 4,486 4,950 4,294 3,961 3,948 4,196 4,203 4,103 3,568 2,516 1,765 1,119 1,198

Female 68,482 4,777 4,584 4,339 4,203 4,099 4,525 4,655 3,978 3,838 3,885 4,287 4,602 4,478 3,971 2,780 1,979 1,450 2,052

Total 150,449 10,613 10,839 10,365 9,632 8,102 9,299 10,488 10,603 8,766 8,199 8,166 8,752 9,109 8,829 7,441 4,760 3,023 3,463

2020 Male 74,573 5,426 5,542 5,300 4,949 4,090 4,620 5,287 5,484 4,546 4,157 4,092 4,280 4,271 4,158 3,507 2,216 1,359 1,289

Female 75,876 5,187 5,297 5,065 4,683 4,012 4,679 5,201 5,119 4,220 4,042 4,074 4,472 4,838 4,671 3,934 2,544 1,664 2,174

Total 164,797 11,190 11,657 11,848 11,082 8,917 9,173 10,648 11,461 11,156 9,145 8,496 8,397 9,022 9,354 8,705 6,713 3,882 3,951

2025 Male 81,713 5,722 5,961 6,058 5,691 4,491 4,594 5,351 5,794 5,767 4,734 4,285 4,162 4,339 4,320 4,087 3,107 1,730 1,520

Female 83,084 5,468 5,696 5,790 5,391 4,426 4,579 5,297 5,667 5,389 4,411 4,211 4,235 4,683 5,034 4,618 3,606 2,152 2,431


76

Change 10,157 10,671 11,910 14,732 14,348

Births 7,207 8,374 9,587 10,314 10,924

Deaths 5,031 5,475 5,936 6,450 7,224

Migration 7,981 7,772 8,259 10,868 10,648



Skagit County 250,000

200,000

150,000

100,000 Census/Est. High 50,000

Intermediate Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

15,000

10,000


0

-5,000

-10,000

20 5

0

5

-2

-2

-1

0

5

0

5

5

0

-0

-1

20

15 20

10 20

05 20

-0

-9

00 20

95 19

90 19

-8

0

5

-8

-9

80

85 19

19

-7

0

-65

-7

75 19

70 19

65 19

60 19

77


Skamania County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 9,872 632 673 817 761 401 468 593 843 920 917 748 588 425 347 283 213 133 110

2000 Male 4,967 305 359 436 388 206 221 299 429 460 456 383 306 218 180 135 101 48 37

Female 4,905 327 314 381 373 195 247 294 414 460 461 365 282 207 167 148 112 85 73

Total 10,483 650 721 759 715 491 480 577 688 929 986 954 758 565 384 296 235 158 137

2005 Male 5,292 333 348 404 386 242 244 278 348 473 493 478 394 302 201 150 106 70 42

Female 5,191 317 373 355 329 249 236 299 340 456 493 476 364 263 183 146 129 88 95

Total 11,068 679 741 812 662 463 587 585 661 753 989 1,019 960 724 510 327 246 181 169

2010 Male 5,591 347 379 391 355 241 285 304 318 381 503 513 490 388 279 165 118 76 58

Female 5,477 332 362 421 307 222 302 281 343 372 486 506 470 336 231 162 128 105 111

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 11,731 716 785 842 707 431 565 729 676 731 810 1,032 1,032 918 654 438 276 191 198

2015 Male 5,951 366 402 431 344 223 291 361 352 352 411 529 529 483 358 233 134 84 68

Female 5,780 350 383 411 363 208 274 368 324 379 399 503 503 435 296 205 142 107 130

Total 12,344 741 828 893 739 462 519 701 847 748 787 844 1,043 986 835 565 368 214 224

2020 Male 6,299 380 423 457 381 218 268 369 422 388 380 430 546 521 448 302 188 97 81

Female 6,045 361 405 436 358 244 251 332 425 360 407 414 497 465 387 263 180 117 143

Total 12,927 756 857 943 784 480 563 649 819 938 807 823 856 1,003 899 721 477 289 263

2025 Male 6,613 389 439 483 405 239 264 340 432 467 419 400 446 541 488 379 245 139 98

Female 6,314 367 418 460 379 241 299 309 387 471 388 423 410 462 411 342 232 150 165


78

Change 611 585 663 613 583

Births 651 674 706 735 745

Deaths 371 423 469 523 583

Migration 331 334 426 401 421



Skamania County 18,000 16,000 14,000 12,000 10,000 8,000 Census/Est.

6,000

High

4,000

Intermediate

2,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

1,500

1,000


0

-500

-1,000

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

5 -9

10

15 20

20

05 20

00 20

95 19

0 -9

5 -8

0 -8

85

90 19

19

80 19

5 -7

0 -7

5 -6

70

75 19

19

65 19

60 19

79


Snohomish County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 606,024 43,461 47,564 47,768 43,194 35,676 40,826 47,909 55,918 55,094 47,761 38,911 27,392 19,146 15,322 13,428 12,027 7,819 6,808

2000 Male 303,209 22,233 24,567 24,464 22,165 18,700 20,630 24,336 28,524 28,025 23,898 19,347 13,718 9,418 7,121 5,942 4,965 3,065 2,091

Female 302,815 21,228 22,997 23,304 21,029 16,976 20,196 23,573 27,394 27,069 23,863 19,564 13,674 9,728 8,201 7,486 7,062 4,754 4,717

Total 666,735 44,171 47,372 51,528 48,409 42,185 40,884 45,790 52,040 59,131 57,202 49,025 39,321 27,386 18,766 14,314 11,579 9,328 8,304

2005 Male 333,485 22,598 24,232 26,612 25,106 22,041 20,926 22,827 26,243 30,152 29,034 24,399 19,337 13,456 8,985 6,438 4,892 3,562 2,645

Female 333,250 21,573 23,140 24,916 23,303 20,144 19,958 22,963 25,797 28,979 28,168 24,626 19,984 13,930 9,781 7,876 6,687 5,766 5,659

Total 728,957 47,897 48,244 51,280 52,082 46,922 48,465 45,377 49,366 54,834 61,166 58,560 49,469 39,322 26,872 17,542 12,366 9,037 10,156

2010 Male 364,247 24,504 24,678 26,225 27,218 24,692 24,770 22,893 24,416 27,655 31,130 29,582 24,364 18,974 12,875 8,157 5,323 3,548 3,243

Female 364,710 23,393 23,566 25,055 24,864 22,230 23,695 22,484 24,950 27,179 30,036 28,978 25,105 20,348 13,997 9,385 7,043 5,489 6,913

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 793,720 52,889 52,098 52,131 51,604 50,342 53,297 53,574 48,608 51,820 56,648 62,505 58,973 49,376 38,602 25,177 15,201 9,713 11,162

2015 Male 395,876 27,050 26,644 26,653 26,702 26,616 27,474 27,001 24,317 25,625 28,522 31,660 29,495 23,886 18,178 11,745 6,788 3,904 3,616

Female 397,844 25,839 25,454 25,478 24,902 23,726 25,823 26,573 24,291 26,195 28,126 30,845 29,478 25,490 20,424 13,432 8,413 5,809 7,546

Total 862,599 56,827 57,501 56,293 52,643 49,990 56,769 59,168 57,518 51,001 53,571 58,008 63,052 58,975 48,571 36,332 21,963 12,040 12,377

2020 Male 429,285 29,055 29,397 28,776 27,241 26,170 29,436 30,153 28,753 25,506 26,440 29,076 31,628 28,996 22,958 16,677 9,868 5,051 4,104

Female 433,314 27,772 28,104 27,517 25,402 23,820 27,333 29,015 28,765 25,495 27,131 28,932 31,424 29,979 25,613 19,655 12,095 6,989 8,273

Total 929,314 59,301 61,506 61,830 56,610 50,750 56,429 62,570 63,290 60,163 52,508 54,732 58,523 63,026 58,015 45,773 31,875 17,560 14,853

2025 Male 461,341 30,303 31,428 31,593 29,267 26,590 28,984 32,129 32,019 30,067 26,205 26,884 29,055 31,091 27,903 21,110 14,111 7,436 5,166

Female 467,973 28,998 30,078 30,237 27,343 24,160 27,445 30,441 31,271 30,096 26,303 27,848 29,468 31,935 30,112 24,663 17,764 10,124 9,687


80

Change 60,711 62,222 64,763 68,879 66,715

Births 43,049 46,685 51,705 55,468 57,857

Deaths 19,935 22,617 25,642 29,569 34,662

Migration 37,597 38,154 38,700 42,980 43,520



Snohomish County 1,200,000 1,000,000 800,000 600,000 400,000


200,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


20,000 0 -20,000 -40,000

-7 0

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

81


Spokane County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 417,939 27,478 29,734 31,176 32,890 30,336 26,903 27,771 32,231 33,794 32,046 27,505 19,423 14,703 13,147 12,042 11,145 8,183 7,432

2000 Male 205,138 14,118 15,178 15,850 16,671 15,288 13,799 14,096 16,029 16,845 15,825 13,733 9,484 7,054 6,216 5,222 4,503 3,040 2,187

Female 212,801 13,360 14,556 15,326 16,219 15,048 13,104 13,675 16,202 16,949 16,221 13,772 9,939 7,649 6,931 6,820 6,642 5,143 5,245

Total 441,068 29,162 29,108 31,210 34,432 31,777 31,081 28,470 28,368 33,077 34,194 32,035 26,950 18,609 13,675 11,684 10,067 8,444 8,725

2005 Male 217,310 14,927 14,962 15,938 17,475 16,115 15,655 14,652 14,191 16,453 17,020 15,791 13,411 9,020 6,450 5,340 4,146 3,143 2,621

Female 223,758 14,235 14,146 15,272 16,957 15,662 15,426 13,818 14,177 16,624 17,174 16,244 13,539 9,589 7,225 6,344 5,921 5,301 6,104

Total 466,417 31,663 31,108 30,692 34,437 33,208 32,196 32,926 29,091 29,154 33,501 34,236 31,466 25,914 17,391 12,217 9,803 7,699 9,715

2010 Male 230,604 16,208 15,922 15,773 17,554 16,864 16,342 16,634 14,770 14,588 16,640 17,013 15,460 12,805 8,302 5,581 4,270 2,934 2,944

Female 235,813 15,455 15,186 14,919 16,883 16,344 15,854 16,292 14,321 14,566 16,861 17,223 16,006 13,109 9,089 6,636 5,533 4,765 6,771

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 496,981 34,028 34,024 33,149 34,179 33,553 33,590 34,507 34,088 30,142 29,787 33,775 33,819 30,430 24,395 15,662 10,346 7,560 9,947

2015 Male 246,391 17,418 17,413 16,964 17,522 17,114 17,062 17,555 17,000 15,304 14,888 16,747 16,758 14,858 11,887 7,261 4,517 3,065 3,058

Female 250,590 16,610 16,611 16,185 16,657 16,439 16,528 16,952 17,088 14,838 14,899 17,028 17,061 15,572 12,508 8,401 5,829 4,495 6,889

Total 529,958 35,356 36,645 36,373 36,990 33,443 33,840 36,307 35,821 35,403 30,888 30,156 33,475 32,828 28,759 22,084 13,366 8,066 10,158

2020 Male 263,191 18,098 18,757 18,615 18,900 17,149 17,259 18,480 17,966 17,656 15,666 15,055 16,559 16,181 13,865 10,477 5,944 3,294 3,270

Female 266,767 17,258 17,888 17,758 18,090 16,294 16,581 17,827 17,855 17,747 15,222 15,101 16,916 16,647 14,894 11,607 7,422 4,772 6,888

Total 561,627 36,205 37,956 39,051 40,350 35,997 33,730 36,427 37,711 37,150 36,173 31,217 29,893 32,488 31,033 26,068 18,913 10,502 10,763

2025 Male 279,159 18,531 19,430 19,986 20,617 18,391 17,315 18,618 18,950 18,641 18,018 15,813 14,895 15,994 15,120 12,246 8,629 4,386 3,579

Female 282,468 17,674 18,526 19,065 19,733 17,606 16,415 17,809 18,761 18,509 18,155 15,404 14,998 16,494 15,913 13,822 10,284 6,116 7,184


82

Change 23,129 25,349 30,564 32,977 31,669

Births 28,981 31,434 33,650 34,879 35,775

Deaths 17,927 18,515 19,151 20,267 21,968

Migration 12,075 12,430 16,065 18,365 17,862



Spokane County 700,000 600,000 500,000 400,000 300,000 Census/Est. 200,000

High Intermediate

100,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

40,000 30,000 20,000 10,000 Births Deaths Migratio n

0 -10,000 -20,000 -30,000

-7 0

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

83


Stevens County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 40,066 2,425 3,113 3,612 3,368 1,554 1,629 2,081 2,745 3,514 3,412 3,050 2,444 1,959 1,562 1,278 992 687 641

2000 Male 19,940 1,209 1,583 1,907 1,767 791 780 968 1,356 1,717 1,646 1,558 1,250 1,023 801 675 419 296 194

Female 20,126 1,216 1,530 1,705 1,601 763 849 1,113 1,389 1,797 1,766 1,492 1,194 936 761 603 573 391 447

Total 42,105 2,373 2,717 3,478 3,384 1,998 1,814 1,974 2,370 2,989 3,740 3,572 3,132 2,478 1,952 1,486 1,114 776 758

2005 Male 20,914 1,214 1,357 1,770 1,818 997 914 961 1,107 1,477 1,826 1,719 1,593 1,260 1,011 754 572 307 257

Female 21,191 1,159 1,360 1,708 1,566 1,001 900 1,013 1,263 1,512 1,914 1,853 1,539 1,218 941 732 542 469 501

Total 46,585 2,699 2,882 3,193 3,352 2,085 2,662 2,382 2,418 2,738 3,322 4,060 3,814 3,305 2,568 1,931 1,352 905 917

2010 Male 23,075 1,381 1,475 1,592 1,737 1,074 1,329 1,221 1,184 1,278 1,637 1,975 1,825 1,669 1,294 989 667 441 307

Female 23,510 1,318 1,407 1,601 1,615 1,011 1,333 1,161 1,234 1,460 1,685 2,085 1,989 1,636 1,274 942 685 464 610

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 52,102 3,128 3,308 3,406 3,091 2,084 2,802 3,533 2,941 2,805 3,058 3,616 4,330 4,027 3,432 2,555 1,767 1,113 1,106

2015 Male 25,782 1,599 1,689 1,739 1,570 1,032 1,444 1,793 1,516 1,373 1,422 1,776 2,094 1,912 1,720 1,276 880 519 428

Female 26,320 1,529 1,619 1,667 1,521 1,052 1,358 1,740 1,425 1,432 1,636 1,840 2,236 2,115 1,712 1,279 887 594 678

Total 58,154 3,357 3,806 3,895 3,298 1,910 2,752 3,691 4,339 3,393 3,123 3,329 3,863 4,577 4,188 3,424 2,357 1,472 1,380

2020 Male 28,782 1,713 1,943 1,987 1,715 924 1,363 1,932 2,219 1,748 1,524 1,543 1,889 2,202 1,977 1,705 1,148 699 551

Female 29,372 1,644 1,863 1,908 1,583 986 1,389 1,759 2,120 1,645 1,599 1,786 1,974 2,375 2,211 1,719 1,209 773 829

Total 64,057 3,422 4,061 4,463 3,750 2,038 2,492 3,592 4,508 4,990 3,763 3,392 3,562 4,088 4,773 4,193 3,177 1,983 1,810

2025 Male 31,684 1,746 2,071 2,278 1,946 1,014 1,208 1,805 2,375 2,552 1,935 1,651 1,645 1,989 2,287 1,970 1,547 922 743

Female 32,373 1,676 1,990 2,185 1,804 1,024 1,284 1,787 2,133 2,438 1,828 1,741 1,917 2,099 2,486 2,223 1,630 1,061 1,067


84

Change 2,039 4,480 5,517 6,052 5,903

Births 2,410 2,641 3,031 3,230 3,283

Deaths 1,751 1,974 2,335 2,772 3,285

Migration 1,380 3,813 4,821 5,594 5,905



Stevens County 90,000 80,000 70,000 60,000 50,000 40,000 30,000

Census/Est.

20,000

High

10,000

Intermediate Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

8,000 6,000 4,000 2,000 0


-2,000 -4,000

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7 70 19 0 -7 65 19 5 -6 60 19

85


Thurston County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 207,355 12,827 14,431 15,324 15,904 13,321 13,030 14,022 16,362 17,414 17,327 15,300 10,878 7,586 6,258 5,764 5,065 3,589 2,953

2000 Male 101,543 6,565 7,354 7,943 8,260 6,662 6,573 7,014 7,959 8,295 8,293 7,521 5,412 3,746 2,970 2,577 2,058 1,405 936

Female 105,812 6,262 7,077 7,381 7,644 6,659 6,457 7,008 8,403 9,119 9,034 7,779 5,466 3,840 3,288 3,187 3,007 2,184 2,017

Total 234,053 13,480 14,608 16,278 17,147 15,952 14,472 15,834 16,189 17,978 18,691 18,343 16,263 11,527 7,936 6,209 5,210 4,097 3,839

2005 Male 114,603 6,895 7,475 8,294 8,893 8,157 7,173 8,096 8,096 8,712 8,880 8,716 7,881 5,605 3,814 2,878 2,240 1,548 1,250

Female 119,450 6,585 7,133 7,984 8,254 7,795 7,299 7,738 8,093 9,266 9,811 9,627 8,382 5,922 4,122 3,331 2,970 2,549 2,589

Total 258,687 15,255 15,077 16,241 17,928 17,008 16,939 16,991 17,777 17,443 18,997 19,549 18,955 16,792 11,771 7,710 5,490 4,140 4,624

2010 Male 126,586 7,799 7,708 8,306 9,150 8,697 8,593 8,525 9,081 8,693 9,182 9,221 8,875 7,945 5,574 3,628 2,455 1,667 1,487

Female 132,101 7,456 7,369 7,935 8,778 8,311 8,346 8,466 8,696 8,750 9,815 10,328 10,080 8,847 6,197 4,082 3,035 2,473 3,137

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 286,449 16,986 17,016 16,757 17,833 17,794 17,992 19,844 18,992 19,113 18,435 19,859 20,453 19,816 17,389 11,587 6,927 4,438 5,218

2015 Male 139,999 8,676 8,691 8,558 9,129 8,959 9,126 10,196 9,519 9,732 9,164 9,529 9,507 9,061 8,017 5,384 3,152 1,867 1,732

Female 146,450 8,310 8,325 8,199 8,704 8,835 8,866 9,648 9,473 9,381 9,271 10,330 10,946 10,755 9,372 6,203 3,775 2,571 3,486

Total 312,029 18,034 18,717 18,660 18,210 17,506 18,823 20,654 21,871 20,156 20,003 19,138 20,399 21,021 20,194 16,944 10,339 5,579 5,781

2020 Male 152,239 9,204 9,553 9,522 9,306 8,835 9,397 10,585 11,229 10,066 10,159 9,450 9,651 9,545 8,999 7,675 4,661 2,400 2,002

Female 159,790 8,830 9,164 9,138 8,904 8,671 9,426 10,069 10,642 10,090 9,844 9,688 10,748 11,476 11,195 9,269 5,678 3,179 3,779

Total 336,825 18,527 19,813 20,460 20,180 17,826 18,508 21,486 22,693 23,172 21,038 20,734 19,662 20,968 21,448 19,718 15,202 8,408 6,982

2025 Male 164,046 9,448 10,105 10,434 10,303 8,987 9,274 10,837 11,619 11,861 10,478 10,462 9,581 9,702 9,502 8,643 6,691 3,592 2,527

Female 172,779 9,079 9,708 10,026 9,877 8,839 9,234 10,649 11,074 11,311 10,560 10,272 10,081 11,266 11,946 11,075 8,511 4,816 4,455


86

Change 26,698 24,634 27,762 25,580 24,796

Births 12,889 14,683 16,353 17,414 17,842

Deaths 8,253 9,548 10,814 12,575 14,703

Migration 22,062 19,499 22,223 20,741 21,657



Thurston County 450,000 400,000 350,000 300,000 250,000 200,000


150,000 100,000 50,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


0 -10,000 -20,000

20 5 -2

0 -2

5 -1

0 -1

20

15 20

10 20

05 20

5 -0

0 -0

5 -9

5 -8

0 -8

0 -9

00 20

95 19

90 19

80

85 19

19

5 -7

-65

0 -7

75 19

70 19

65 19

60 19

87


Wahkiakum County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 3,824 202 224 274 265 133 138 183 263 264 294 336 290 252 207 172 146 111 70

2000 Male 1,913 104 124 135 140 75 65 89 127 136 148 174 138 128 110 84 66 56 14

Female 1,911 98 100 139 125 58 73 94 136 128 146 162 152 124 97 88 80 55 56

Total 3,906 179 224 250 239 169 156 168 208 289 279 306 343 291 247 194 149 112 103

2005 Male 1,955 92 116 138 120 87 87 80 101 140 143 154 178 138 126 102 70 47 36

Female 1,951 87 108 112 119 82 69 88 107 149 136 152 165 153 121 92 79 65 67

Total 4,169 204 218 266 224 160 226 207 206 238 320 302 320 349 287 232 169 118 123

2010 Male 2,094 104 111 138 125 77 114 118 99 115 154 155 161 182 137 118 88 53 45

Female 2,075 100 107 128 99 83 112 89 107 123 166 147 159 167 150 114 81 65 78

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 4,406 223 244 255 236 146 201 289 247 232 263 338 313 325 344 273 203 132 142

2015 Male 2,216 115 125 131 124 78 97 149 140 111 128 162 161 163 180 131 101 66 54

Female 2,190 108 119 124 112 68 104 140 107 121 135 176 152 162 164 142 102 66 88

Total 4,745 232 275 288 230 159 202 269 359 285 260 285 355 320 323 330 243 163 167

2020 Male 2,394 119 142 146 118 79 109 133 186 162 125 140 171 166 164 173 115 77 69

Female 2,351 113 133 142 112 80 93 136 173 123 135 145 184 154 159 157 128 86 98

Total 5,072 237 284 325 258 156 213 262 333 417 319 284 299 365 319 309 293 197 202

2025 Male 2,569 122 144 166 133 78 109 144 164 217 182 138 146 178 166 158 151 88 85

Female 2,503 115 140 159 125 78 104 118 169 200 137 146 153 187 153 151 142 109 117


88

Change 82 263 237 339 327

Births 184 199 218 221 225

Deaths 226 246 270 295 322

Migration 124 310 289 413 424



Wahkiakum County 7,000 6,000 5,000 4,000 3,000

Census/Est. High

2,000

Intermediate 1,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

600

400


0

-200

-400

0

5 -2

-2

5 -1

15

20 20

20

10 20

5 -0

0 -1

00

05 20

20

5

0 -0

-9

0 -9

-80

5 -8

90

95 19

19

85 19

80 19

75 19

0

5 -7

-7

5 -6

65

70 19

19

60 19

89


Walla Walla County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 55,180 3,469 3,691 3,974 4,879 4,923 3,279 3,475 3,824 4,029 3,829 3,227 2,482 1,925 1,800 1,864 1,753 1,413 1,344

2000 Male 28,101 1,814 1,887 2,081 2,459 2,778 1,903 1,878 2,056 2,077 2,004 1,650 1,255 915 826 779 755 570 414

Female 27,079 1,655 1,804 1,893 2,420 2,145 1,376 1,597 1,768 1,952 1,825 1,577 1,227 1,010 974 1,085 998 843 930

Total 57,475 3,584 3,675 3,878 5,104 5,775 3,884 3,185 3,515 3,972 3,907 3,683 3,157 2,374 1,789 1,596 1,553 1,317 1,527

2005 Male 29,315 1,833 1,919 1,982 2,588 3,143 2,401 1,727 1,828 2,156 1,930 1,856 1,606 1,187 831 703 612 523 490

Female 28,160 1,751 1,756 1,896 2,516 2,632 1,483 1,458 1,687 1,816 1,977 1,827 1,551 1,187 958 893 941 794 1,037

Total 60,030 3,963 3,817 3,870 4,968 5,927 4,635 3,807 3,194 3,651 3,854 3,773 3,617 3,028 2,211 1,595 1,337 1,187 1,596

2010 Male 30,672 2,027 1,949 2,023 2,473 3,214 2,721 2,246 1,660 1,919 2,014 1,790 1,813 1,524 1,085 713 558 430 513

Female 29,358 1,936 1,868 1,847 2,495 2,713 1,914 1,561 1,534 1,732 1,840 1,983 1,804 1,504 1,126 882 779 757 1,083

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 62,398 4,371 4,156 3,961 4,869 5,725 4,842 4,428 3,758 3,269 3,498 3,689 3,675 3,446 2,808 1,964 1,336 1,028 1,575

2015 Male 31,956 2,236 2,126 2,025 2,466 3,068 2,833 2,468 2,159 1,724 1,765 1,865 1,738 1,713 1,388 933 569 398 482

Female 30,442 2,135 2,030 1,936 2,403 2,657 2,009 1,960 1,599 1,545 1,733 1,824 1,937 1,733 1,420 1,031 767 630 1,093

Total 64,856 4,555 4,562 4,289 4,997 5,607 4,636 4,641 4,354 3,821 3,110 3,335 3,586 3,499 3,193 2,496 1,652 1,034 1,489

2020 Male 33,240 2,331 2,334 2,196 2,487 3,045 2,667 2,593 2,354 2,216 1,568 1,620 1,806 1,641 1,562 1,197 751 411 461

Female 31,616 2,224 2,228 2,093 2,510 2,562 1,969 2,048 2,000 1,605 1,542 1,715 1,780 1,858 1,631 1,299 901 623 1,028

Total 67,158 4,580 4,727 4,681 5,357 5,749 4,522 4,400 4,562 4,412 3,643 2,946 3,239 3,408 3,242 2,838 2,106 1,283 1,463

2025 Male 34,430 2,344 2,419 2,397 2,668 3,087 2,647 2,409 2,479 2,414 2,047 1,425 1,569 1,704 1,495 1,346 969 546 465

Female 32,728 2,236 2,308 2,284 2,689 2,662 1,875 1,991 2,083 1,998 1,596 1,521 1,670 1,704 1,747 1,492 1,137 737 998


90

Change 2,295 2,555 2,368 2,458 2,302

Births 3,588 3,980 4,426 4,619 4,660

Deaths 2,823 2,739 2,677 2,643 2,703

Migration 1,530 1,314 619 482 345



Walla Walla County 90,000 80,000 70,000 60,000 50,000 40,000 30,000


20,000 10,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

6,000

4,000

2,000

0

-2,000


-4,000

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7 70 19 0 -7 65 19 5 -6 60 19

91


Whatcom County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 166,814 10,210 11,312 11,707 13,946 16,776 10,671 10,758 11,976 12,442 12,865 11,153 7,819 5,779 5,105 4,728 4,225 2,760 2,582

2000 Male 82,188 5,197 5,757 5,987 6,751 8,380 5,542 5,492 5,876 6,140 6,249 5,575 3,950 2,863 2,488 2,198 1,810 1,097 836

Female 84,626 5,013 5,555 5,720 7,195 8,396 5,129 5,266 6,100 6,302 6,616 5,578 3,869 2,916 2,617 2,530 2,415 1,663 1,746

Total 180,463 10,466 11,079 12,205 15,359 20,443 10,436 9,987 11,781 12,613 12,857 13,162 11,267 7,863 5,734 4,829 4,088 3,272 3,022

2005 Male 89,029 5,360 5,642 6,215 7,616 9,828 5,478 5,302 6,037 6,191 6,336 6,357 5,565 3,894 2,771 2,302 1,831 1,308 996

Female 91,434 5,106 5,437 5,990 7,743 10,615 4,958 4,685 5,744 6,422 6,521 6,805 5,702 3,969 2,963 2,527 2,257 1,964 2,026

Total 195,504 11,499 11,554 12,135 15,931 21,688 13,408 9,756 11,050 12,556 13,178 13,302 13,461 11,482 7,909 5,496 4,234 3,221 3,644

2010 Male 96,478 5,893 5,921 6,186 7,900 10,560 6,528 5,234 5,889 6,441 6,462 6,522 6,427 5,559 3,826 2,603 1,950 1,354 1,223

Female 99,026 5,606 5,633 5,949 8,031 11,128 6,880 4,522 5,161 6,115 6,716 6,780 7,034 5,923 4,083 2,893 2,284 1,867 2,421

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 213,246 13,130 12,765 12,765 15,909 22,148 15,019 12,931 10,861 11,847 13,206 13,706 13,658 13,786 11,626 7,641 4,861 3,364 4,023

2015 Male 105,184 6,728 6,542 6,540 7,889 10,791 7,491 6,320 5,843 6,314 6,765 6,682 6,617 6,449 5,501 3,629 2,227 1,459 1,397

Female 108,062 6,402 6,223 6,225 8,020 11,357 7,528 6,611 5,018 5,533 6,441 7,024 7,041 7,337 6,125 4,012 2,634 1,905 2,626

Total 230,228 14,417 14,311 13,824 16,452 21,835 15,718 14,502 14,081 11,420 12,274 13,571 13,935 13,855 13,839 11,178 6,749 3,883 4,384

2020 Male 113,434 7,385 7,331 7,081 8,186 10,628 7,833 7,306 6,906 6,141 6,531 6,915 6,713 6,579 6,328 5,199 3,111 1,683 1,578

Female 116,794 7,032 6,980 6,743 8,266 11,207 7,885 7,196 7,175 5,279 5,743 6,656 7,222 7,276 7,511 5,979 3,638 2,200 2,806

Total 246,636 15,062 15,575 15,363 17,608 22,485 15,435 15,185 15,641 14,702 11,739 12,537 13,744 14,084 13,865 13,285 9,898 5,430 4,998

2025 Male 121,357 7,714 7,977 7,869 8,760 10,971 7,691 7,637 7,899 7,210 6,302 6,636 6,927 6,656 6,445 5,975 4,474 2,376 1,838

Female 125,279 7,348 7,598 7,494 8,848 11,514 7,744 7,548 7,742 7,492 5,437 5,901 6,817 7,428 7,420 7,310 5,424 3,054 3,160


92

Change 13,649 15,041 17,742 16,982 16,408

Births 10,359 11,341 12,893 14,208 14,869

Deaths 6,663 7,340 8,064 9,019 10,215

Migration 9,953 11,040 12,913 11,793 11,754



Whatcom County 350,000 300,000 250,000 200,000 150,000

Census/Est. High

100,000

Intermediate 50,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


0 -5,000 -10,000 -15,000

0 -7

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

93


Whitman County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 40,740 1,973 2,021 2,051 5,048 9,566 3,072 2,285 2,182 2,258 2,106 1,802 1,501 1,110 933 859 818 626 529

2000 Male 20,617 1,033 1,050 1,039 2,352 5,135 1,704 1,141 1,076 1,118 1,093 890 735 541 461 427 364 266 192

Female 20,123 940 971 1,012 2,696 4,431 1,368 1,144 1,106 1,140 1,013 912 766 569 472 432 454 360 337

Total 40,445 2,105 1,879 1,892 4,715 10,097 3,268 2,127 1,873 2,010 2,079 1,930 1,624 1,309 931 751 665 580 610

2005 Male 20,500 1,074 982 981 2,249 5,442 1,766 1,110 866 989 1,025 1,000 802 642 448 357 313 238 216

Female 19,945 1,031 897 911 2,466 4,655 1,502 1,017 1,007 1,021 1,054 930 822 667 483 394 352 342 394

Total 41,149 2,204 2,179 1,912 4,648 9,828 2,957 2,548 1,902 1,861 1,983 2,032 1,846 1,508 1,170 797 616 495 663

2010 Male 20,873 1,128 1,114 1,002 2,252 5,322 1,615 1,285 931 863 977 1,004 961 749 572 372 279 217 230

Female 20,276 1,076 1,065 910 2,396 4,506 1,342 1,263 971 998 1,006 1,028 885 759 598 425 337 278 433

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 42,342 2,229 2,330 2,278 4,710 9,693 2,889 2,166 2,385 1,935 1,875 1,971 1,974 1,738 1,366 1,016 663 470 654

2015 Male 21,490 1,143 1,192 1,167 2,296 5,281 1,656 1,063 1,131 947 870 973 980 909 676 481 296 198 231

Female 20,852 1,086 1,138 1,111 2,414 4,412 1,233 1,103 1,254 988 1,005 998 994 829 690 535 367 272 423

Total 43,651 2,161 2,365 2,440 5,195 9,687 2,897 2,163 1,954 2,431 1,950 1,869 1,916 1,855 1,578 1,192 848 510 640

2020 Male 22,169 1,110 1,214 1,252 2,522 5,290 1,679 1,154 867 1,155 956 871 952 928 824 575 384 212 224

Female 21,482 1,051 1,151 1,188 2,673 4,397 1,218 1,009 1,087 1,276 994 998 964 927 754 617 464 298 416

Total 44,856 2,111 2,265 2,458 5,477 10,234 2,928 2,184 1,955 1,976 2,429 1,926 1,797 1,786 1,671 1,361 988 646 664

2025 Male 22,795 1,083 1,163 1,262 2,662 5,561 1,702 1,191 968 878 1,154 946 842 892 834 692 458 275 232

Female 22,061 1,028 1,102 1,196 2,815 4,673 1,226 993 987 1,098 1,275 980 955 894 837 669 530 371 432


94

Change -295 704 1,193 1,309 1,205

Births 2,213 2,271 2,271 2,194 2,168

Deaths 1,357 1,314 1,293 1,304 1,358

Migration -1,151 -253 215 419 395



Whitman County 70,000 60,000 50,000 40,000 30,000 Census/Est. High

20,000

Intermediate 10,000

Low

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025


1,000 0 -1,000 -2,000 -3,000

20 20 5 -2

0 -2

5 -1

0 -1

5 -0

0 -0

10

15 20

20

05 20

00 20

95 19

5 -9

0 -9

5 -8

85

90 19

19

80 19

0 -8

5 -7

0 -7

5 -6

70

75 19

19

65 19

60 19

95


Yakima County Population Projection: Intermediate Series

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 222,581 19,440 20,263 19,457 18,598 14,873 14,956 14,757 15,826 15,673 14,241 12,399 9,630 7,547 6,427 5,980 5,182 3,773 3,559

2000 Male 111,090 9,858 10,406 10,050 9,756 7,722 7,575 7,603 8,035 7,890 7,018 6,197 4,837 3,670 3,027 2,694 2,168 1,419 1,165

Female 111,491 9,582 9,857 9,407 8,842 7,151 7,381 7,154 7,791 7,783 7,223 6,202 4,793 3,877 3,400 3,286 3,014 2,354 2,394

Total 225,622 21,273 19,046 19,472 17,024 15,286 17,518 14,003 13,924 14,952 14,816 13,413 11,527 8,703 6,589 5,419 4,812 3,820 4,025

2005 Male 112,856 10,888 9,662 10,004 8,782 7,790 9,157 7,149 7,197 7,591 7,450 6,609 5,763 4,368 3,171 2,468 2,061 1,473 1,273

Female 112,766 10,385 9,384 9,468 8,242 7,496 8,361 6,854 6,727 7,361 7,366 6,804 5,764 4,335 3,418 2,951 2,751 2,347 2,752

Total 237,435 21,740 21,834 19,233 18,029 14,757 17,936 17,815 13,994 13,739 14,629 14,370 12,779 10,692 7,806 5,677 4,437 3,603 4,365

2010 Male 119,198 11,132 11,177 9,760 9,277 7,434 9,169 9,407 7,171 7,108 7,421 7,228 6,301 5,344 3,885 2,650 1,924 1,428 1,382

Female 118,237 10,608 10,657 9,473 8,752 7,323 8,767 8,408 6,823 6,631 7,208 7,142 6,478 5,348 3,921 3,027 2,513 2,175 2,983

Age Total 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+

Total 254,257 22,804 22,770 22,613 18,292 16,107 17,032 19,047 18,329 14,116 13,716 14,422 13,873 12,009 9,737 6,818 4,708 3,366 4,498

2015 Male 128,119 11,686 11,666 11,584 9,309 8,110 8,571 9,862 9,714 7,239 7,094 7,320 6,990 5,927 4,833 3,304 2,103 1,360 1,447

Female 126,138 11,118 11,104 11,029 8,983 7,997 8,461 9,185 8,615 6,877 6,622 7,102 6,883 6,082 4,904 3,514 2,605 2,006 3,051

Total 269,401 23,815 23,618 23,310 21,290 16,179 18,468 17,697 19,337 18,272 13,971 13,447 13,864 12,987 10,895 8,498 5,666 3,599 4,488

2020 Male 136,159 12,217 12,115 11,956 10,937 8,054 9,305 9,002 10,056 9,696 7,165 6,965 7,056 6,558 5,349 4,114 2,638 1,506 1,470

Female 133,242 11,598 11,503 11,354 10,353 8,125 9,163 8,695 9,281 8,576 6,806 6,482 6,808 6,429 5,546 4,384 3,028 2,093 3,018

Total 283,884 24,907 24,567 24,079 21,874 18,726 18,541 19,036 17,889 19,229 18,015 13,671 12,922 12,971 11,781 9,518 7,093 4,356 4,709

2025 Male 143,701 12,789 12,615 12,362 11,243 9,412 9,241 9,686 9,132 10,012 9,559 7,020 6,711 6,615 5,922 4,562 3,306 1,910 1,604

Female 140,183 12,118 11,952 11,717 10,631 9,314 9,300 9,350 8,757 9,217 8,456 6,651 6,211 6,356 5,859 4,956 3,787 2,446 3,105


96

Change 3,041 11,813 16,822 15,144 14,483

Births 22,154 22,140 23,079 24,333 25,631

Deaths 8,643 8,621 8,739 9,021 9,485

Migration -10,470 -1,706 2,482 -168 -1,663



Yakima County 350,000 300,000 250,000 200,000 150,000 Census/Est. High Intermediate Low

100,000 50,000

0 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025

30,000


10,000 0

-10,000

-20,000

-7 0

-65

5 -2 20 20 0 -2 15 20 5 -1 10 20 0 -1 05 20 5 -0 00 20 0 -0 95 19 5 -9 90 19 0 -9 85 19 5 -8 80 19 0 -8 75 19 5 -7

70 19

65 19

60 19

97


98

Appendix

99


100

Data Concepts

Projections in this publication assume generally accepted demographic definitions and concepts used by the U.S. Census Bureau. This section presents the most important ones. Reference date. Federal censuses since 1930 have a reference date of April 1st. All estimate, vital statistics, and projection data in this publication are based on that date. An April 1 reference date is used because it is considered the time of the year when most people are living at their “usual residence.” Usual residence is an important population count concept and discussed in more detail under resident population. Age ranges. These are based on a person’s age as of April 1st. For example, the 5-9 group includes everyone who has passed their fifth birthday but not their tenth. Resident population. Most census data and the data here deal with the population that usually resides in an area. People are counted where they usually live, not where they happen to be on April 1. For example, a trucker, businessman, or holiday traveler in a motel on April 1 would be reported as living wherever they usually live, not at the location of their motel. On the other hand, some people have no usual place of residence, so the census reports them as living where they were found by enumerators. Generally, “residence” refers to where one spends the largest part of the year. Resident population for an area includes military personnel, military dependents, persons in correctional facilities, persons living in nursing homes, and other long term care facilities. College students are considered residents of the place where they live while attending school. This is why student populations show up so dramatically in the age structure of the population in Kittitas and Whitman Counties. Residency becomes important to growth management planners when the matter of seasonal population and seasonal housing arises. Seasonal population, such as vacationers or migrant farm workers, are counted as residents of the place they consider their usual home. Yet, these populations absorb a considerable amount of the housing in counties where they live part of the year. Some seasonal housing is for migrant workers. Other seasonal housing is recreational. Examples include vacation homes, time share condominiums, and beach, hunting, or ski cabins. In 2000, seasonal housing represented eight percent or more of the total housing in seventeen Washington counties. In Mason, Pacific, Pend Oreille, and San Juan Counties, seasonal housing was 20 to 30 percent of total housing. Seasonal housing implies seasonal population changes. Planners need to deal with the environmental impacts of seasonal housing and the service impacts of seasonal populations such as need for police and fire protection, and infrastructure development and maintenance. Furthermore, many seasonal units are potential year round housing. Some people sell their city houses on retirement and move to their rustic hideaway.

101

102

Note:

1960 2,853,214 9,929 12,909 62,070 40,744 30,022 93,809 4,569 57,801 14,890 3,889 23,342 2,976 46,477 54,465 19,638 9,639 935,014 84,176 20,467 13,455 41,858 10,919 16,251 25,520 14,674 6,914 321,590 2,872 51,350 5,207 172,199 278,333 17,884 55,049 3,426 42,195 70,317 31,263 145,112

1965 3,065,000 10,400 12,900 62,500 39,800 31,900 108,500 4,300 62,500 15,300 3,800 24,200 2,800 44,500 56,400 22,400 9,800 1,024,000 89,800 22,400 12,900 42,900 10,100 17,800 25,100 14,700 6,100 358,600 3,100 50,900 5,500 212,700 277,200 17,500 64,400 3,400 41,400 75,100 34,000 143,400

1970 3,413,250 12,014 13,799 67,540 41,103 34,770 128,454 4,439 68,616 16,787 3,655 25,816 2,911 41,881 59,553 27,011 10,661 1,159,375 101,732 25,039 12,138 45,467 9,572 20,918 25,867 15,796 6,025 412,344 3,856 52,381 5,845 265,236 287,487 17,405 76,894 3,592 42,176 81,983 37,900 145,212

1975 3,567,890 13,100 14,800 74,500 40,200 41,100 156,800 4,200 72,100 18,300 4,600 27,100 2,800 43,200 60,400 34,700 11,800 1,155,300 116,090 24,700 13,400 48,700 9,500 23,500 26,800 15,800 7,600 421,600 5,400 54,100 6,300 270,100 304,300 21,200 90,500 3,700 43,500 91,700 38,900 155,500

1980 4,132,353 13,267 16,823 109,444 45,061 51,648 192,227 4,057 79,548 22,144 5,811 35,025 2,468 48,522 66,314 44,048 15,965 1,269,898 147,152 24,877 15,822 56,025 9,604 31,184 30,663 17,237 8,580 485,667 7,838 64,138 7,919 337,720 341,835 28,979 124,264 3,832 47,435 106,701 40,103 172,508

1985 4,415,785 13,418 17,154 108,452 49,250 52,465 206,744 4,046 79,259 23,206 6,016 36,584 2,418 50,805 63,870 49,661 17,873 1,356,552 168,709 25,407 16,504 56,592 9,233 35,125 32,687 17,764 8,744 529,753 8,904 69,472 7,946 381,094 351,417 30,667 139,738 3,505 48,287 115,483 39,512 181,469

1990 4,866,663 13,603 17,605 112,560 52,250 56,204 238,053 4,024 82,119 26,205 6,295 37,473 2,248 54,798 64,175 60,195 20,406 1,507,305 189,731 26,725 16,616 59,358 8,864 38,341 33,350 18,882 8,915 586,203 10,035 79,545 8,289 465,628 361,333 30,948 161,238 3,327 48,439 127,780 38,775 188,823

Census totals may differ slightly from other publications due to use of corrected or uncorrected counts. Unrounded numbers not meant to imply accuracy. OFM/Forecasting/ February 2002

Washington Adams Asotin Benton Chelan Clallam Clark Columbia Cowlitz Douglas Ferry Franklin Garfield Grant Grays Harbor Island Jefferson King Kitsap Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille Pierce San Juan Skagit Skamania Snohomish Spokane Stevens Thurston Wahkiakum Walla Walla Whatcom Whitman Yakima

1995 5,470,104 15,366 19,574 130,266 63,839 61,461 290,111 4,704 88,215 30,031 6,927 45,756 2,170 66,515 67,880 66,462 24,112 1,642,451 220,459 31,195 17,866 65,277 9,241 44,902 38,943 20,496 11,527 649,069 12,240 93,584 9,118 527,649 400,538 35,406 190,944 3,809 53,269 149,114 40,138 219,480

2000 5,894,121 16,428 20,551 142,475 66,616 64,179 345,238 4,064 92,948 32,603 7,260 49,347 2,397 74,698 67,194 71,558 26,299 1,737,034 231,969 33,362 19,161 68,600 10,184 49,405 39,564 20,984 11,732 700,820 14,077 102,979 9,872 606,024 417,939 40,066 207,355 3,824 55,180 166,814 40,740 222,581

2005 6,233,345 17,458 21,466 151,522 71,169 64,969 391,264 3,914 98,764 36,257 7,901 52,642 2,436 82,397 66,490 74,738 28,308 1,786,803 236,403 34,314 20,338 73,005 10,095 53,789 41,458 20,957 12,679 740,838 15,480 113,136 10,483 666,735 441,068 42,105 234,053 3,906 57,475 180,463 40,445 225,622

2010 6,648,112 18,502 22,582 161,236 75,993 67,754 432,479 4,000 107,903 39,196 8,384 56,392 2,510 88,331 68,878 80,650 30,892 1,861,042 257,841 36,742 21,626 77,493 10,386 58,604 44,061 21,257 13,674 788,580 17,316 123,807 11,068 728,957 466,417 46,585 258,687 4,169 60,030 195,504 41,149 237,435

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2015 7,096,501 19,724 23,569 169,528 81,056 70,769 473,674 4,150 117,163 42,302 8,827 60,216 2,596 92,806 71,761 87,416 34,067 1,940,385 281,883 39,451 23,071 81,251 11,004 64,007 46,315 21,725 14,711 840,557 19,168 135,717 11,731 793,720 496,981 52,102 286,449 4,406 62,398 213,246 42,342 254,257

Historical and Projected Population for Growth Management and Other Purposes 2020 7,545,269 20,919 24,650 177,388 85,864 74,349 509,876 4,126 126,797 44,920 9,429 64,687 2,668 95,715 74,605 94,365 37,483 2,018,824 307,113 41,776 24,493 86,070 11,918 69,635 47,920 22,228 15,706 892,454 20,877 150,449 12,344 862,599 529,958 58,154 312,029 4,745 64,856 230,228 43,651 269,401

2025 7,975,471 22,063 25,671 184,818 90,461 77,749 544,809 4,092 136,114 47,428 10,008 68,997 2,734 98,395 77,269 101,079 40,807 2,092,390 331,571 43,999 25,855 90,678 12,802 75,088 49,410 22,678 16,662 942,157 22,534 164,797 12,927 929,314 561,627 64,057 336,825 5,072 67,158 246,636 44,856 283,884

103

Note:

1960-65 211,786 471 -9 430 -944 1,878 14,691 -269 4,699 410 -89 858 -176 -1,977 1,935 2,762 161 88,986 5,624 1,933 -555 1,042 -819 1,549 -420 26 -814 37,010 228 -450 293 40,501 -1,133 -384 9,351 -26 -795 4,783 2,737 -1,712

1965-70 348,250 1,614 899 5,040 1,303 2,870 19,954 139 6,116 1,487 -145 1,616 111 -2,619 3,153 4,611 861 135,375 11,932 2,639 -762 2,567 -528 3,118 767 1,096 -75 53,744 756 1,481 345 52,536 10,287 -95 12,494 192 776 6,883 3,900 1,812

1970-75 154,640 1,086 1,001 6,960 -903 6,330 28,346 -239 3,484 1,513 945 1,284 -111 1,319 847 7,689 1,139 -4,075 14,358 -339 1,262 3,233 -72 2,582 933 4 1,575 9,256 1,544 1,719 455 4,864 16,813 3,795 13,606 108 1,324 9,717 1,000 10,288

1975-80 564,463 167 2,023 34,944 4,861 10,548 35,427 -143 7,448 3,844 1,211 7,925 -332 5,322 5,914 9,348 4,165 114,598 31,062 177 2,422 7,325 104 7,684 3,863 1,437 980 64,067 2,438 10,038 1,619 67,620 37,535 7,779 33,764 132 3,935 15,001 1,203 17,008

1980-85 283,432 151 331 -992 4,189 817 14,517 -11 -289 1,062 205 1,559 -50 2,283 -2,444 5,613 1,908 86,654 21,557 530 682 567 -371 3,941 2,024 527 164 44,086 1,066 5,334 27 43,374 9,582 1,688 15,474 -327 852 8,782 -591 8,961

1985-90 450,878 185 451 4,108 3,000 3,739 31,309 -22 2,860 2,999 279 889 -170 3,993 305 10,534 2,533 150,753 21,022 1,318 112 2,766 -369 3,216 663 1,118 171 56,450 1,131 10,073 343 84,534 9,916 281 21,500 -178 152 12,297 -737 7,354



1990-95 603,441 1,763 1,969 17,706 11,589 5,257 52,058 680 6,096 3,826 632 8,283 -78 11,717 3,705 6,267 3,706 135,146 30,728 4,470 1,250 5,919 377 6,561 5,593 1,614 2,612 62,866 2,205 14,039 829 62,021 39,205 4,458 29,706 482 4,830 21,334 1,363 30,657

1995-00 424,017 1,062 977 12,209 2,777 2,718 55,127 -640 4,733 2,572 333 3,591 227 8,183 -686 5,096 2,187 94,583 11,510 2,167 1,295 3,323 943 4,503 621 488 205 51,751 1,837 9,395 754 78,375 17,401 4,660 16,411 15 1,911 17,700 602 3,101

2000-05 339,224 1,030 915 9,047 4,553 790 46,026 -150 5,816 3,654 641 3,295 39 7,699 -704 3,180 2,009 49,769 4,434 952 1,177 4,405 -89 4,384 1,894 -27 947 40,018 1,403 10,157 611 60,711 23,129 2,039 26,698 82 2,295 13,649 -295 3,041

2005-10 414,767 1,044 1,116 9,714 4,824 2,785 41,215 86 9,139 2,939 483 3,750 74 5,934 2,388 5,912 2,584 74,239 21,438 2,428 1,288 4,488 291 4,815 2,603 300 995 47,742 1,836 10,671 585 62,222 25,349 4,480 24,634 263 2,555 15,041 704 11,813

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2010-15 448,389 1,222 987 8,292 5,063 3,015 41,195 150 9,260 3,106 443 3,824 86 4,475 2,883 6,766 3,175 79,343 24,042 2,709 1,445 3,758 618 5,403 2,254 468 1,037 51,977 1,852 11,910 663 64,763 30,564 5,517 27,762 237 2,368 17,742 1,193 16,822

2015-20 448,768 1,195 1,081 7,860 4,808 3,580 36,202 -24 9,634 2,618 602 4,471 72 2,909 2,844 6,949 3,416 78,439 25,230 2,325 1,422 4,819 914 5,628 1,605 503 995 51,897 1,709 14,732 613 68,879 32,977 6,052 25,580 339 2,458 16,982 1,309 15,144

Historical and Projected Change in Population for Growth Management and Other Purposes 2020-25 430,202 1,144 1,021 7,430 4,597 3,400 34,933 -34 9,317 2,508 579 4,310 66 2,680 2,664 6,714 3,324 73,566 24,458 2,223 1,362 4,608 884 5,453 1,490 450 956 49,703 1,657 14,348 583 66,715 31,669 5,903 24,796 327 2,302 16,408 1,205 14,483

104

Note:

1960-65 7.42 4.74 -0.07 0.69 -2.32 6.26 15.66 -5.89 8.13 2.75 -2.29 3.68 -5.91 -4.25 3.55 14.06 1.67 9.52 6.68 9.44 -4.12 2.49 -7.50 9.53 -1.65 0.18 -11.77 11.51 7.94 -0.88 5.63 23.52 -0.41 -2.15 16.99 -0.76 -1.88 6.80 8.75 -1.18

1965-70 11.36 15.52 6.97 8.06 3.27 9.00 18.39 3.23 9.79 9.72 -3.82 6.68 3.96 -5.89 5.59 20.58 8.79 13.22 13.29 11.78 -5.91 5.98 -5.23 17.52 3.06 7.46 -1.23 14.99 24.39 2.91 6.27 24.70 3.71 -0.54 19.40 5.65 1.87 9.17 11.47 1.26

1970-75 4.53 9.04 7.25 10.31 -2.20 18.21 22.07 -5.38 5.08 9.01 25.85 4.97 -3.81 3.15 1.42 28.47 10.68 -0.35 14.11 -1.35 10.40 7.11 -0.75 12.34 3.61 0.03 26.14 2.24 40.04 3.28 7.78 1.83 5.85 21.80 17.69 3.01 3.14 11.85 2.64 7.08

1975-80 15.82 1.27 13.67 46.90 12.09 25.66 22.59 -3.40 10.33 21.01 26.33 29.24 -11.86 12.32 9.79 26.94 35.30 9.92 26.76 0.72 18.07 15.04 1.09 32.70 14.41 9.09 12.89 15.20 45.15 18.55 25.70 25.04 12.33 36.69 37.31 3.57 9.05 16.36 3.09 10.94

1980-85 6.86 1.14 1.97 -0.91 9.30 1.58 7.55 -0.27 -0.36 4.80 3.53 4.45 -2.03 4.71 -3.69 12.74 11.95 6.82 14.65 2.13 4.31 1.01 -3.86 12.64 6.60 3.06 1.91 9.08 13.60 8.32 0.34 12.84 2.80 5.82 12.45 -8.53 1.80 8.23 -1.47 5.19

1985-90 10.21 1.38 2.63 3.79 6.09 7.13 15.14 -0.54 3.61 12.92 4.64 2.43 -7.03 7.86 0.48 21.21 14.17 11.11 12.46 5.19 0.68 4.89 -4.00 9.16 2.03 6.29 1.96 10.66 12.70 14.50 4.32 22.18 2.82 0.92 15.39 -5.08 0.31 10.65 -1.87 4.05



1990-95 12.40 12.96 11.18 15.73 22.18 9.35 21.87 16.90 7.42 14.60 10.04 22.10 -3.47 21.38 5.77 10.41 18.16 8.97 16.20 16.73 7.52 9.97 4.25 17.11 16.77 8.55 29.30 10.72 21.97 17.65 10.00 13.32 10.85 14.40 18.42 14.49 9.97 16.70 3.52 16.24

1995-00 7.75 6.91 4.99 9.37 4.35 4.42 19.00 -13.61 5.37 8.56 4.81 7.85 10.46 12.30 -1.01 7.67 9.07 5.76 5.22 6.95 7.25 5.09 10.20 10.03 1.59 2.38 1.78 7.97 15.01 10.04 8.27 14.85 4.34 13.16 8.59 0.39 3.59 11.87 1.50 1.41

2000-05 5.76 6.27 4.45 6.35 6.83 1.23 13.33 -3.69 6.26 11.21 8.83 6.68 1.63 10.31 -1.05 4.44 7.64 2.87 1.91 2.85 6.14 6.42 -0.87 8.87 4.79 -0.13 8.07 5.71 9.97 9.86 6.19 10.02 5.53 5.09 12.88 2.14 4.16 8.18 -0.72 1.37

2005-10 6.65 5.98 5.20 6.41 6.78 4.29 10.53 2.20 9.25 8.11 6.11 7.12 3.04 7.20 3.59 7.91 9.13 4.15 9.07 7.08 6.33 6.15 2.88 8.95 6.28 1.43 7.85 6.44 11.86 9.43 5.58 9.33 5.75 10.64 10.52 6.73 4.45 8.33 1.74 5.24

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2010-15 6.74 6.60 4.37 5.14 6.66 4.45 9.53 3.75 8.58 7.92 5.28 6.78 3.43 5.07 4.19 8.39 10.28 4.26 9.32 7.37 6.68 4.85 5.95 9.22 5.12 2.20 7.58 6.59 10.70 9.62 5.99 8.88 6.55 11.84 10.73 5.68 3.94 9.08 2.90 7.08

2015-20 6.32 6.06 4.59 4.64 5.93 5.06 7.64 -0.58 8.22 6.19 6.82 7.42 2.77 3.13 3.96 7.95 10.03 4.04 8.95 5.89 6.16 5.93 8.31 8.79 3.47 2.32 6.76 6.17 8.92 10.85 5.23 8.68 6.64 11.62 8.93 7.69 3.94 7.96 3.09 5.96

Historical and Projected Percent Change in Population for Growth Management and Other Purposes 2020-25 5.70 5.47 4.14 4.19 5.35 4.57 6.85 -0.82 7.35 5.58 6.14 6.66 2.47 2.80 3.57 7.11 8.87 3.64 7.96 5.32 5.56 5.35 7.42 7.83 3.11 2.02 6.09 5.57 7.94 9.54 4.72 7.73 5.98 10.15 7.95 6.89 3.55 7.13 2.76 5.38

105

Note:

1960-65 310,581 1,266 1,258 7,058 3,684 3,190 10,007 389 6,298 1,240 410 2,597 275 6,944 5,424 3,085 887 102,260 8,280 1,976 1,424 3,796 885 1,519 2,468 1,065 690 39,585 187 4,554 549 20,968 29,031 1,522 6,533 303 3,750 6,302 3,182 15,740

1965-70 277,888 1,061 1,049 5,354 3,005 2,669 10,136 320 6,106 1,088 301 2,250 218 3,700 5,049 2,732 728 95,716 7,961 1,729 1,020 3,548 623 1,419 1,941 1,119 557 35,889 164 3,900 429 21,341 22,983 1,275 5,952 274 3,072 5,714 2,591 12,905

1970-75 259,110 1,246 1,114 5,236 2,594 2,965 11,496 234 5,933 1,126 354 2,488 202 3,766 4,739 3,048 670 75,038 8,151 1,563 1,029 3,740 577 1,514 2,167 1,058 578 34,145 205 3,900 441 21,123 24,153 1,487 6,561 277 2,625 6,276 2,453 12,838

1975-80 288,456 1,550 1,211 7,871 3,193 3,751 13,994 320 6,237 1,670 430 3,748 191 4,481 5,157 3,576 941 74,477 10,290 1,541 1,271 4,516 665 1,955 2,464 1,250 724 39,340 351 4,486 568 22,611 25,279 2,159 8,486 255 3,022 7,138 2,316 14,971

1980-85 345,249 1,510 1,305 10,499 4,036 4,033 16,142 288 6,191 1,839 545 4,351 199 4,695 5,367 4,158 1,142 93,101 13,651 1,694 1,354 4,675 666 2,512 3,026 1,274 679 46,550 492 5,437 602 30,442 28,111 2,655 10,836 205 3,514 8,318 2,451 16,704

1985-90 359,843 1,335 1,253 9,168 4,303 3,646 17,113 266 6,038 1,830 394 3,832 111 4,684 4,717 4,581 1,035 104,669 14,400 1,484 1,162 4,272 562 2,329 2,638 1,156 647 48,799 552 5,452 546 35,603 26,998 2,196 10,994 165 3,164 8,196 2,022 17,531



1990-95 394,036 1,525 1,304 9,717 4,875 3,432 20,739 244 6,281 2,171 421 4,880 102 5,642 4,553 5,182 1,157 112,934 16,893 1,551 1,167 4,292 495 2,548 2,797 1,108 687 50,870 529 6,415 471 40,269 28,079 2,076 12,111 170 3,497 9,497 2,072 21,283

1995-00 393,482 1,559 1,322 10,263 4,929 3,236 24,737 208 6,165 2,240 390 5,180 102 6,726 4,283 4,723 1,051 109,396 15,721 1,705 1,171 4,522 546 2,728 2,736 1,019 650 48,650 506 6,660 502 40,767 27,730 2,261 12,308 188 3,581 9,775 2,100 21,146

2000-05 410,816 1,717 1,329 11,095 4,978 3,285 27,103 174 6,720 2,429 384 5,782 128 7,430 4,253 4,774 1,109 110,969 15,617 1,910 1,241 4,876 575 2,784 2,719 946 642 51,676 486 7,207 651 43,049 28,981 2,410 12,889 184 3,588 10,359 2,213 22,154

2005-10 436,889 1,838 1,435 12,473 5,458 3,689 30,794 189 7,493 2,938 421 6,076 149 8,161 4,489 4,749 1,214 112,049 16,328 2,048 1,343 5,655 599 2,985 2,743 969 726 54,905 551 8,374 674 46,685 31,434 2,641 14,683 199 3,980 11,341 2,271 22,140

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2010-15 474,955 1,998 1,552 13,955 6,047 4,199 34,791 202 8,595 3,395 445 6,451 166 8,582 4,942 4,939 1,356 118,416 18,489 2,244 1,460 6,310 655 3,216 2,849 997 803 59,334 648 9,587 706 51,705 33,650 3,031 16,353 218 4,426 12,893 2,271 23,079

Historical and Projected Births for Growth Management and Other Purposes 2015-20 499,532 2,131 1,598 14,441 6,435 4,364 37,783 209 9,219 3,619 446 6,683 158 8,721 5,126 5,080 1,426 123,577 19,643 2,350 1,521 6,461 692 3,361 2,829 971 809 61,572 692 10,314 735 55,468 34,879 3,230 17,414 221 4,619 14,208 2,194 24,333

2020-25 512,832 2,222 1,611 14,369 6,579 4,351 39,111 192 9,577 3,588 438 7,123 145 8,711 5,141 5,185 1,444 126,814 20,133 2,411 1,537 6,570 727 3,458 2,731 920 785 62,294 686 10,924 745 57,857 35,775 3,283 17,842 225 4,660 14,869 2,168 25,631

106

Note:

1960-65 135,425 391 745 1,734 2,029 1,495 4,504 288 2,542 441 204 772 160 1,337 3,285 729 495 44,505 3,971 1,058 602 2,591 489 803 1,304 836 365 15,136 245 2,482 220 8,133 13,794 940 2,596 204 2,147 3,782 1,217 6,854

1965-70 147,543 414 783 2,048 2,064 1,813 5,171 291 2,804 587 169 899 168 1,410 3,472 840 536 48,810 4,525 1,082 611 2,655 548 896 1,347 1,043 386 16,154 216 2,666 244 9,304 14,634 902 3,133 224 2,298 3,988 1,193 7,215

1970-75 150,827 424 868 2,316 2,156 1,953 5,701 271 2,898 567 153 1,015 155 1,577 3,386 1,059 603 48,057 4,600 972 646 2,695 550 1,043 1,399 1,046 364 16,938 257 2,847 214 9,661 14,715 953 3,436 208 2,355 4,002 1,254 7,513

1975-80 151,239 472 895 2,614 2,253 2,241 6,009 267 3,064 697 184 1,084 131 1,646 3,155 1,278 659 46,589 4,848 1,007 634 2,633 524 1,134 1,384 1,054 380 17,072 279 2,939 233 10,338 13,881 983 4,081 139 2,261 3,834 1,091 7,272

1980-85 163,350 445 803 2,894 2,502 2,516 6,959 261 3,266 784 214 1,104 146 1,766 3,220 1,621 801 49,086 5,519 1,044 683 2,680 551 1,380 1,478 1,116 420 18,608 365 3,169 198 11,654 14,745 1,173 4,749 184 2,309 4,105 1,096 7,736

1985-90 176,593 548 873 3,259 2,371 2,820 7,618 271 3,486 956 210 1,250 142 1,993 3,494 1,973 936 51,980 5,935 1,044 748 2,968 567 1,666 1,617 1,250 446 20,366 377 3,503 262 13,448 15,338 1,223 5,357 171 2,458 4,494 1,091 8,084



1990-95 192,580 515 1,057 3,844 2,720 3,337 9,168 258 3,867 937 276 1,324 167 2,284 3,644 2,161 1,083 55,037 6,815 1,076 778 3,194 511 2,011 1,589 1,261 456 22,407 473 3,893 298 15,265 16,180 1,378 6,191 199 2,472 5,173 1,069 8,212

1995-00 212,236 550 1,126 4,295 2,791 3,858 10,700 256 4,445 1,158 330 1,429 152 2,661 3,733 2,507 1,346 57,953 7,995 1,225 776 3,649 574 2,481 1,798 1,397 536 24,755 497 4,382 342 17,742 17,563 1,566 7,381 239 2,600 5,749 1,114 8,585

2000-05 230,153 578 1,122 5,070 3,106 4,296 11,741 242 4,177 1,363 292 1,460 157 2,840 3,346 3,259 1,689 65,465 8,711 1,341 897 3,525 629 2,510 1,817 1,435 556 24,681 868 5,031 371 19,935 17,927 1,751 8,253 226 2,823 6,663 1,357 8,643

2005-10 247,922 607 1,145 5,527 3,262 4,632 13,510 250 4,433 1,526 371 1,546 161 3,096 3,472 3,807 2,047 68,298 9,372 1,404 969 3,714 634 3,011 1,996 1,584 661 27,015 1,060 5,475 423 22,617 18,515 1,974 9,548 246 2,739 7,340 1,314 8,621

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2010-15 267,066 626 1,194 5,940 3,408 4,890 15,408 255 4,749 1,658 437 1,617 161 3,284 3,553 4,402 2,412 71,185 10,398 1,504 1,070 3,873 651 3,534 2,202 1,701 770 29,524 1,270 5,936 469 25,642 19,151 2,335 10,814 270 2,677 8,064 1,293 8,739

Historical and Projected Deaths for Growth Management and Other Purposes 2015-20 291,264 642 1,246 6,345 3,577 5,097 17,688 258 5,095 1,800 514 1,678 165 3,432 3,632 5,118 2,812 75,409 11,710 1,643 1,182 4,027 679 4,040 2,400 1,792 875 32,446 1,524 6,450 523 29,569 20,267 2,772 12,575 295 2,643 9,019 1,304 9,021

2020-25 323,130 667 1,319 6,847 3,810 5,341 20,531 266 5,548 1,942 592 1,770 165 3,560 3,742 5,953 3,263 81,850 13,475 1,796 1,307 4,235 715 4,576 2,605 1,895 970 36,064 1,818 7,224 583 34,662 21,968 3,285 14,703 322 2,703 10,215 1,358 9,485

107

Note:

1960-65 36,630 -404 -522 -4,894 -2,599 183 9,188 -370 943 -389 -295 -967 -291 -7,584 -204 406 -231 31,231 1,315 1,015 -1,377 -163 -1,215 833 -1,584 -203 -1,139 12,561 286 -2,522 -36 27,666 -16,370 -966 5,414 -125 -2,398 2,263 772 -10,598

1965-70 217,905 967 633 1,734 362 2,014 14,989 110 2,814 986 -277 265 61 -4,909 1,576 2,719 669 88,469 8,496 1,992 -1,171 1,674 -603 2,595 173 1,020 -246 34,009 808 247 160 40,499 1,938 -468 9,675 142 2 5,157 2,502 -3,878

1970-75 46,357 264 755 4,040 -1,341 5,318 22,551 -202 449 954 744 -189 -158 -870 -506 5,700 1,072 -31,056 10,807 -930 879 2,188 -99 2,111 165 -8 1,361 -7,951 1,596 666 228 -6,598 7,375 3,261 10,481 39 1,054 7,443 -199 4,963

1975-80 427,246 -911 1,707 29,687 3,921 9,038 27,442 -196 4,275 2,871 965 5,261 -392 2,487 3,912 7,050 3,883 86,710 25,620 -357 1,785 5,442 -37 6,863 2,783 1,241 636 41,799 2,366 8,491 1,284 55,347 26,137 6,603 29,359 16 3,174 11,697 -22 9,309

1980-85 101,533 -914 -171 -8,597 2,655 -700 5,334 -38 -3,214 7 -126 -1,688 -103 -646 -4,591 3,076 1,567 42,639 13,425 -120 11 -1,428 -486 2,809 476 369 -95 16,144 939 3,066 -377 24,586 -3,784 206 9,387 -348 -353 4,569 -1,946 -7

1985-90 267,628 -602 71 -1,801 1,068 2,913 21,814 -17 308 2,125 95 -1,693 -139 1,302 -918 7,926 2,434 98,064 12,557 878 -302 1,462 -364 2,553 -358 1,212 -30 28,017 956 8,124 59 62,379 -1,744 -692 15,863 -172 -554 8,595 -1,668 -2,093



1990-95 401,985 753 1,722 11,833 9,434 5,162 40,487 694 3,682 2,592 487 4,727 -13 8,359 2,796 3,246 3,632 77,249 20,650 3,995 861 4,821 393 6,024 4,385 1,767 2,381 34,403 2,149 11,517 656 37,017 27,306 3,760 23,786 511 3,805 17,010 360 17,586

1995-00 242,771 53 781 6,241 639 3,340 41,090 -592 3,013 1,490 273 -160 277 4,118 -1,236 2,880 2,482 43,140 3,784 1,687 900 2,450 971 4,256 -317 866 91 27,856 1,828 7,117 594 55,350 7,234 3,965 11,484 66 930 13,674 -384 -9,460

2000-05 158,561 -109 708 3,022 2,681 1,801 30,664 -82 3,273 2,588 549 -1,027 68 3,109 -1,611 1,665 2,589 4,265 -2,472 383 833 3,054 -35 4,110 992 462 861 13,023 1,785 7,981 331 37,597 12,075 1,380 22,062 124 1,530 9,953 -1,151 -10,470

2005-10 225,800 -187 826 2,768 2,628 3,728 23,931 147 6,079 1,527 433 -780 86 869 1,371 4,970 3,417 30,488 14,482 1,784 914 2,547 326 4,841 1,856 915 930 19,852 2,345 7,772 334 38,154 12,430 3,813 19,499 310 1,314 11,040 -253 -1,706

Intermediate Series: History 1960 to 2000 and Projections from 2005 to 2025 2010-15 240,500 -150 629 277 2,424 3,706 21,812 203 5,414 1,369 435 -1,010 81 -823 1,494 6,229 4,231 32,112 15,951 1,969 1,055 1,321 614 5,721 1,607 1,172 1,004 22,167 2,474 8,259 426 38,700 16,065 4,821 22,223 289 619 12,913 215 2,482

Historical and Projected Net Migration for Growth Management and Other Purposes 2015-20 240,500 -294 729 -236 1,950 4,313 16,107 25 5,510 799 670 -534 79 -2,380 1,350 6,987 4,802 30,271 17,297 1,618 1,083 2,385 901 6,307 1,176 1,324 1,061 22,771 2,541 10,868 401 42,980 18,365 5,594 20,741 413 482 11,793 419 -168

2020-25 240,500 -411 729 -92 1,828 4,390 16,353 40 5,288 862 733 -1,043 86 -2,471 1,265 7,482 5,143 28,602 17,800 1,608 1,132 2,273 872 6,571 1,364 1,425 1,141 23,473 2,789 10,648 421 43,520 17,862 5,905 21,657 424 345 11,754 395 -1,663


Population Age 65 and Over Intermediate Series: History 2000 and Projections from 2005 to 2025

Washington Adams Asotin Benton Chelan Clallam Clark Columbia Cowlitz Douglas Ferry Franklin Garfield Grant Grays Harbor Island Jefferson King Kitsap Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille Pierce San Juan Skagit Skamania Snohomish Spokane Stevens Thurston Wahkiakum Walla Walla Whatcom Whitman Yakima Note:

108

2000 662,148 1,707 3,355 14,655 9,242 13,727 32,808 753 12,368 4,138 915 4,200 501 8,618 10,321 10,211 5,481 181,772 24,553 3,871 2,644 10,667 1,932 8,149 5,557 4,735 1,750 71,620 2,670 15,034 1,086 55,404 51,949 5,160 23,629 706 8,174 19,400 3,765 24,921

2005 705,749 1,755 3,544 15,713 9,597 14,663 37,731 761 13,102 4,525 1,209 4,227 505 9,103 10,490 11,938 6,648 186,090 26,323 4,146 2,953 11,328 2,025 9,805 6,201 5,289 2,087 77,082 3,385 16,317 1,210 62,291 52,595 6,086 27,291 805 7,782 20,945 3,537 24,665

2010 805,653 1,835 3,883 17,687 10,319 16,094 46,677 824 14,709 5,105 1,480 4,436 501 9,807 11,119 14,705 8,323 207,190 31,576 4,744 3,419 12,207 2,130 11,640 7,059 5,771 2,542 88,372 4,466 18,406 1,433 75,973 56,825 7,673 33,735 929 7,926 24,504 3,741 25,888

Unrounded numbers not meant to imply accuracy. OFM/Forecasting/February 2002

2015 990,664 1,993 4,285 21,175 11,844 18,069 61,239 939 17,454 5,963 1,867 5,018 543 10,954 12,400 18,417 10,722 252,535 41,118 5,655 4,161 13,727 2,309 14,129 8,325 6,342 3,146 108,215 6,052 22,398 1,757 99,855 67,910 9,973 45,559 1,094 8,711 31,515 4,169 29,127

2020 1,214,730 2,253 4,861 25,311 14,130 20,478 78,063 1,030 20,481 7,134 2,352 5,917 650 12,405 13,854 23,098 13,295 304,429 52,298 6,587 5,019 15,613 2,630 17,292 9,927 7,202 3,795 132,874 7,619 27,516 2,206 131,283 82,433 12,821 58,837 1,226 9,864 40,033 4,768 33,146

2025 1,447,101 2,463 5,460 29,362 16,351 22,396 95,561 1,096 23,556 8,371 2,714 6,749 718 13,950 15,189 28,142 15,625 355,497 63,546 7,499 5,898 17,442 2,964 20,911 11,515 7,907 4,441 162,032 8,928 32,605 2,649 168,076 97,279 15,936 71,758 1,320 10,932 47,476 5,330 37,457


Population Age 65 and Over as a Percent of Total County Population Intermediate Series: History 2000 and Projections from 2005 to 2025


2000 11.23 10.39 16.33 10.29 13.87 21.39 9.5 18.53 13.31 12.69 12.6 8.51 20.9 11.54 15.36 14.27 20.84 10.46 10.58 11.6 13.8 15.55 18.97 16.49 14.05 22.56 14.92 10.22 18.97 14.6 11 9.14 12.43 12.88 11.4 18.46 14.81 11.63 9.24 11.2

2005 11.32 10.05 16.51 10.37 13.48 22.57 9.64 19.44 13.27 12.48 15.3 8.03 20.73 11.05 15.78 15.97 23.48 10.41 11.13 12.08 14.52 15.52 20.06 18.23 14.96 25.24 16.46 10.4 21.87 14.42 11.54 9.34 11.92 14.45 11.66 20.61 13.54 11.61 8.75 10.93

2010 12.12 9.92 17.2 10.97 13.58 23.75 10.79 20.6 13.63 13.02 17.65 7.87 19.96 11.1 16.14 18.23 26.94 11.13 12.25 12.91 15.81 15.75 20.51 19.86 16.02 27.15 18.59 11.21 25.79 14.87 12.95 10.42 12.18 16.47 13.04 22.28 13.2 12.53 9.09 10.9

2015 13.96 10.1 18.18 12.49 14.61 25.53 12.93 22.63 14.9 14.1 21.15 8.33 20.92 11.8 17.28 21.07 31.47 13.01 14.59 14.33 18.04 16.89 20.98 22.07 17.97 29.19 21.39 12.87 31.57 16.5 14.98 12.58 13.66 19.14 15.9 24.83 13.96 14.78 9.85 11.46

2020 16.1 10.77 19.72 14.27 16.46 27.54 15.31 24.96 16.15 15.88 24.94 9.15 24.36 12.96 18.57 24.48 35.47 15.08 17.03 15.77 20.49 18.14 22.07 24.83 20.72 32.4 24.16 14.89 36.49 18.29 17.87 15.22 15.55 22.05 18.86 25.84 15.21 17.39 10.92 12.3

2025 18.14 11.16 21.27 15.89 18.08 28.81 17.54 26.78 17.31 17.65 27.12 9.78 26.26 14.18 19.66 27.84 38.29 16.99 19.17 17.04 22.81 19.24 23.15 27.85 23.3 34.87 26.65 17.2 39.62 19.78 20.49 18.09 17.32 24.88 21.3 26.03 16.28 19.25 11.88 13.19

OFM/Forecasting/February 2002

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County Population Age 65 and Over as a Percent of State Population Age 65 and Over Intermediate Series: History 2000 and Projections from 2005 to 2025


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2000 100 0.26 0.51 2.21 1.4 2.07 4.95 0.11 1.87 0.62 0.14 0.63 0.08 1.3 1.56 1.54 0.83 27.45 3.71 0.58 0.4 1.61 0.29 1.23 0.84 0.72 0.26 10.82 0.4 2.27 0.16 8.37 7.85 0.78 3.57 0.11 1.23 2.93 0.57 3.76

2005 100 0.25 0.5 2.23 1.36 2.08 5.35 0.11 1.86 0.64 0.17 0.6 0.07 1.29 1.49 1.69 0.94 26.37 3.73 0.59 0.42 1.61 0.29 1.39 0.88 0.75 0.3 10.92 0.48 2.31 0.17 8.83 7.45 0.86 3.87 0.11 1.1 2.97 0.5 3.49


2010 100 0.23 0.48 2.2 1.28 2 5.79 0.1 1.83 0.63 0.18 0.55 0.06 1.22 1.38 1.83 1.03 25.72 3.92 0.59 0.42 1.52 0.26 1.44 0.88 0.72 0.32 10.97 0.55 2.28 0.18 9.43 7.05 0.95 4.19 0.12 0.98 3.04 0.46 3.21

2015 100 0.2 0.43 2.14 1.2 1.82 6.18 0.09 1.76 0.6 0.19 0.51 0.05 1.11 1.25 1.86 1.08 25.49 4.15 0.57 0.42 1.39 0.23 1.43 0.84 0.64 0.32 10.92 0.61 2.26 0.18 10.08 6.85 1.01 4.6 0.11 0.88 3.18 0.42 2.94

2020 100 0.19 0.4 2.08 1.16 1.69 6.43 0.08 1.69 0.59 0.19 0.49 0.05 1.02 1.14 1.9 1.09 25.06 4.31 0.54 0.41 1.29 0.22 1.42 0.82 0.59 0.31 10.94 0.63 2.27 0.18 10.81 6.79 1.06 4.84 0.1 0.81 3.3 0.39 2.73

2025 100 0.17 0.38 2.03 1.13 1.55 6.6 0.08 1.63 0.58 0.19 0.47 0.05 0.96 1.05 1.94 1.08 24.57 4.39 0.52 0.41 1.21 0.2 1.45 0.8 0.55 0.31 11.2 0.62 2.25 0.18 11.61 6.72 1.1 4.96 0.09 0.76 3.28 0.37 2.59


Housing Characteristics from Census 2000

Area Adams Asotin Benton Chelan Clallam Clark Columbia Cowlitz Douglas Ferry Franklin Garfield Grant Grays Harbor Island Jefferson King Kitsap Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille Pierce San Juan Skagit Skamania Snohomish Spokane Stevens Thurston Wahkiakum Walla Walla Whatcom Whitman Yakima Note:

Total Housing 2451075 5773 9111 55963 30407 30683 134030 2018 38624 12944 3775 16084 1288 29081 32489 32378 14144 742237 92644 16475 8633 29585 5298 25515 19085 13991 6608 277060 9752 42681 4576 236205 175005 17599 86652 1792 21147 73893 16676 79174

Occupied Housing 2271398 5229 8364 52866 25021 27164 127208 1687 35850 11726 2823 14840 987 25204 26808 27784 11645 710916 86416 13382 7473 26306 4151 18912 15027 9096 4639 260800 6466 38852 3755 224852 163611 15017 81625 1553 19647 64446 15257 73993

Vacant Seasonal Seasonal as Housing Vacant Units % of Total 179677 60355 2.46 544 59 1.02 747 181 1.99 3097 184 0.33 5386 2815 9.26 3519 1405 4.58 6822 550 0.41 331 161 7.98 2774 373 0.97 1218 443 3.42 952 586 15.52 1244 76 0.47 301 149 11.57 3877 1576 5.42 5681 2652 8.16 4594 3107 9.60 2499 1685 11.91 31321 5234 0.71 6228 1482 1.60 3093 1791 10.87 1160 475 5.50 3279 1312 4.43 1147 571 10.78 6603 5144 20.16 4058 2355 12.34 4895 3742 26.75 1969 1373 20.78 16260 2584 0.93 3286 2776 28.47 3829 1971 4.62 821 581 12.70 11353 2337 0.99 11394 1028 0.59 2582 1422 8.08 5027 981 1.13 239 100 5.58 1500 178 0.84 9447 5946 8.05 1419 120 0.72 5181 850 1.07


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RCW 43.62.035 Determining population — Projections. The office of financial management shall determine the population of each county of the state annually as of April 1st of each year and on or before July 1st of each year shall file a certificate with the secretary of state showing its determination of the population for each county. The office of financial management also shall determine the percentage increase in population for each county over the preceding ten-year period, as of April 1st, and shall file a certificate with the secretary of state by July 1st showing its determination. At least once every five years or upon the availability of decennial census data, whichever is later, the office of financial management shall prepare twenty-year growth management planning population projections required by RCW 36.70A.110 for each county that adopts a comprehensive plan under RCW 36.70A.040 and shall review these projections with such counties and the cities in those counties before final adoption. The county and its cities may provide to the office such information as they deem relevant to the office's projection, and the office shall consider and comment on such information before adoption. Each projection shall be expressed as a reasonable range developed within the standard state high and low projection. The middle range shall represent the office's estimate of the most likely population projection for the county. If any city or county believes that a projection will not accurately reflect actual population growth in a county, it may petition the office to revise the projection accordingly. The office shall complete the first set of ranges for every county by December 31, 1995. A comprehensive plan adopted or amended before December 31, 1995, shall not be considered to be in noncompliance with the twenty-year growth management planning population projection if the projection used in the comprehensive plan is in compliance with the range later adopted under this section. [1997 c 429 § 26; 1995 c 162 § 1; 1991 sp.s. c 32 § 30; 1990 1st ex.s. c 17 § 32.]

NOTES: Severability -- 1997 c 429: See note following RCW 36.70A.3201. Effective date -- 1995 c 162: "This act is necessary for the immediate preservation of the public peace, health, or safety, or support of the state government and its existing public institutions, and shall take effect immediately [April 27, 1995]." [1995 c 162 § 2.] Section headings not law -- 1991 sp.s. c 32: See RCW 36.70A.902. Severability -- Part, section headings not law -- 1990 1st ex.s. c 17: See RCW 36.70A.900 and 36.70A.901.

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