Location Based Demographic Economic Profile

Overview
.. examine the demographic-economic characteristics and trends enabling stakeholders to better understand the current situation and assess the outlook in a county or region of interest. Use this Situation & Outlook report, generated using the DEDE API tools and data, to gain insights and facilitate reduced risk and more successful outcomes. It advances the abilities of policy-makers, businesses and others to learn more about the how, where and when of change and how change might impact stakeholder interests and programs.

Assess the impact of climate change, migration, birth rates, workforce dynamics, infrastructure, economic sectoral shifts, health factors and housing patterns, to name a few, on communities and counties of interest. This report provides a structured set of multi-sourced data to address these topics. Different data update on different schedules; monthly, quarterly and annual. Several components may be custom structured to meet specific needs.

Topics
00 How Income & Poverty are Changing
01 Personal Income & Gross Domestic Product
02 How & Why Demographics are Changing
03 Census 2010, 2020 & Change 2010-2020
1.1 Population & Components of Change
1.2 City/Place Demographic-Economic Characteristics
1.3 Migration/Mobility -- Movers from 1 Year Ago
2.1 General Demographics -- detailed characteristics
2.2 Social Characteristics
2.3 Economic Characteristics
2.4 Housing Situation
2.4.1 New Authorized Residential Construction (monthly)
2.4.2 Housing Characteristics
3.1 Industry by Sector Characteristics (quarterly/annual)
4.1 Census Tract Demographic-Economic Characteristics

00. How Income & Poverty are Changing .. goto topics

Income & Poverty: 2018-2020

For most counties, median household income (MHI) has increased between 2018 and 2020, while the poverty rate has decreased.
This is due in part to Federal stimulus funds transfer payments in 2020. This section presents income and poverty data for each year 2018-2020 for this county, corresponding state and the U.S. This is the only source of current year estimates of MHI and poverty for all counties.

Monterey County 2018
Median Household Income: $69,665
Ages 0-17 in Poverty: 21,430 ... poverty rate: 19.2 ... Universe: 111,622
Ages 5-17 in Families in Poverty: 15,435 ... poverty rate: 19.0 ... Universe: 81,081
All ages in Poverty: 55,614 ... poverty rate: 13.3 ... Universe: 417,611

Monterey County 2019
Median Household Income: $76,509
Ages 0-17 in Poverty: 20,237 ... poverty rate: 18.4 ... Universe: 109,978
Ages 5-17 in Families in Poverty: 13,825 ... poverty rate: 17.1 ... Universe: 80,703
All ages in Poverty: 52,484 ... poverty rate: 12.6 ... Universe: 415,595

Monterey County 2020
Median Household Income: $85,031
Ages 0-17 in Poverty: 16,255 ... poverty rate: 15.0 ... Universe: 108,655
Ages 5-17 in Families in Poverty: 11,683 ... poverty rate: 14.6 ... Universe: 79,999
All ages in Poverty: 47,870 ... poverty rate: 11.6 ... Universe: 413,492

California 2018
Median Household Income: $75,250
Ages 0-17 in Poverty: 1,539,628 ... poverty rate: 17.4 ... Universe: 8,861,486
Ages 5-17 in Families in Poverty: 1,086,618 ... poverty rate: 16.9 ... Universe: 6,438,004
All ages in Poverty: 4,972,955 ... poverty rate: 12.8 ... Universe: 38,818,530

California 2019
Median Household Income: $80,423
Ages 0-17 in Poverty: 1,363,913 ... poverty rate: 15.6 ... Universe: 8,723,360
Ages 5-17 in Families in Poverty: 969,127 ... poverty rate: 15.2 ... Universe: 6,378,735
All ages in Poverty: 4,560,419 ... poverty rate: 11.8 ... Universe: 38,733,501

California 2020
Median Household Income: $83,001
Ages 0-17 in Poverty: 1,260,145 ... poverty rate: 14.6 ... Universe: 8,609,649
Ages 5-17 in Families in Poverty: 898,424 ... poverty rate: 14.2 ... Universe: 6,332,102
All ages in Poverty: 4,419,167 ... poverty rate: 11.5 ... Universe: 38,585,897

United States 2018
Median Household Income: $61,937
Ages 0-17 in Poverty: 12,997,532 ... poverty rate: 18.0 ... Universe: 72,163,269
Ages 5-17 in Families in Poverty: 8,930,152 ... poverty rate: 17.0 ... Universe: 52,529,919
All ages in Poverty: 41,852,315 ... poverty rate: 13.1 ... Universe: 319,184,033

United States 2019
Median Household Income: $65,712
Ages 0-17 in Poverty: 12,000,470 ... poverty rate: 16.8 ... Universe: 71,633,453
Ages 5-17 in Families in Poverty: 8,258,906 ... poverty rate: 15.8 ... Universe: 52,324,733
All ages in Poverty: 39,490,096 ... poverty rate: 12.3 ... Universe: 320,118,791

United States 2020
Median Household Income: $67,340
Ages 0-17 in Poverty: 11,204,423 ... poverty rate: 15.7 ... Universe: 71,388,957
Ages 5-17 in Families in Poverty: 7,798,566 ... poverty rate: 14.9 ... Universe: 52,357,364
All ages in Poverty: 38,371,394 ... poverty rate: 11.9 ... Universe: 321,478,113

01. Personal Income & Gross Domestic Product .. goto topics

Monterey is one of 58 counties in California. It is part of the Salinas, CA Metropolitan Statistical Area. Its 2020 population of 430,906 ranked 21st in the state.

Personal Income .. goto topics

In 2020, Monterey had a per capita personal income (PCPI) of $61,510. This PCPI ranked 21st in the state and was 88 percent of the state average, $70,192, and 103 percent of the national average, $59,510. The 2020 PCPI reflected an increase of 8.8 percent from 2019. The 2019-2020 state change was 8.8 percent and the national change was 6.2 percent. In 2010, the PCPI of Monterey was $40,976 and ranked 20th in the state. The 2010-2020 compound annual growth rate of PCPI was 4.1 percent. The compound annual growth rate for the state was 5.0 percent and for the nation was 3.9 percent.

In 2020, Monterey had a personal income of $26,504,847*. This personal income ranked 21st in the state and accounted for 1.0 percent of the state total. In 2010, the personal income of Monterey was $17,060,716* and ranked 19th in the state.

^*Personal income estimates are in thousands of dollars, not adjusted for inflation.

Gross Domestic Product .. goto topics

In 2020, Monterey produced $27,120,792 in current-dollar total GDP^*. This GDP ranked 20th in the state and accounted for 0.9 percent of the state total. In 2010, the total GDP of Monterey was $20,029,229 and ranked 18th in the state.

In 2020, Monterey real GDP fell 5.3 percent; the 2019-2020 state change was -2.8 percent. The 2010-2020 compound annual growth rate for Monterey real GDP was 1.8 percent; the compound annual growth rate for the state was 2.7 percent.

^*GDP estimates are in thousands of dollars.

Examine personal income components and compare Monterey County, CA to other areas using this interactive table.

Examine GDP components and compare Monterey County, CA to other areas using this interactive table.

02. How & Why Monterey County, CA is Changing .. goto topics
Monterey County, CA (06053), part of Salinas, CA MSA (41500), changed in population from 416,358 (2010) to 430,906 (2020), a change of 14,548 (3.5%).
Factors accounting the change over the decade 2010 to 2020 include:
• Births 2010-2020: 63,034
• Deaths 2010-2020: 25,434
• Natural Increase 2010-2020: 37,600
• Net Migration 2010-2020: -22,961

View a thematic map of this area, patterns of economic prosperity by census tract, using the Visual Data Analytics (VDA) Web GIS
-- see below.

Monterey County, CA .. Census 2010, Census 2020 and Change 2010-2020
.. using Census 2020 P.L. 94-171 data (released 8/12/21)
.. use this Interactive Table to view/rank/compare counties 2010-2020.
.. use the VDA Web GIS to access/map these data to the census block level.

Subject Matter Item	2010	2010%	2020	2020%	2010-20 Change	2010-20% Change
Total population	415,057	100.0	439,035	100.0	23,978	5.8
One race	393,700	94.9	360,576	82.1	-33,124	-8.4
White alone	230,717	55.6	158,879	36.2	-71,838	-31.1
Black alone	12,785	3.1	9,943	2.3	-2,842	-22.2
American India/Alaskan Native alone	5,464	1.3	12,781	2.9	7,317	133.9
Asian alone	25,258	6.1	26,680	6.1	1,422	5.6
Native Hawaiian and Other Pacific Islander alone	2,071	0.5	2,132	0.5	61	2.9
Other race	117,405	28.3	150,161	34.2	32,756	27.9
Two or more races	21,357	5.1	78,459	17.9	57,102	267.4
White, Non-Hispanic	136,435	32.9	120,077	27.4	-16,358	-12.0
Black Non-Hispanic	11,300	2.7	9,051	2.1	-2,249	-19.9
Hispanic (of any race)	230,003	55.4	265,321	60.4	35,318	15.4
Total population, 18 years or older	304,044	73.3	327,777	74.7	23,733	7.8
One race	291,489	70.2	274,004	62.4	-17,485	-6.0
White alone	179,118	43.2	129,636	29.5	-49,482	-27.6
Black alone	10,451	2.5	8,471	1.9	-1,980	-18.9
American India/Alaskan Native alone	3,797	0.9	8,767	2.0	4,970	130.9
Asian alone	20,574	5.0	22,187	5.1	1,613	7.8
Native Hawaiian and Other Pacific Islander alone	1,589	0.4	1,738	0.4	149	9.4
Other race	75,960	18.3	103,205	23.5	27,245	35.9
Two or more races	12,555	3.0	53,773	12.2	41,218	328.3
White, Non-Hispanic	116,552	28.1	104,579	23.8	-11,973	-10.3
Black Non-Hispanic	9,628	2.3	7,981	1.8	-1,647	-17.1
Hispanic (of any race)	149,355	36.0	179,854	41.0	30,499	20.4
Group Quarters population	18,702	4.5	17,822	4.1	-880	-4.7
Group Quarters, institutionalized population	12,547	3.0	8,240	1.9	-4,307	-34.3
Group Quarters, noninstitutionalized population	6,155	1.5	9,582	2.2	3,427	55.7
Housing Units	139,048	100.0	143,631	100.0	4,583	3.3
Occupied	125,946	90.6	131,789	91.8	5,843	4.6
Vacant	13,102	9.4	11,842	8.2	-1,260	-9.6

Based on Census Bureau model-based population estimates, the Monterey County, CA population changed from 416,358 in 2010 to 430,906 in 2020, a change of 14,548 (3.5%).

Population/Component	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Population	416,358	420,379	424,222	426,163	427,985	430,178	433,436	433,803	433,359	433,380	430,906
Births	1,673	6,861	6,808	6,563	6,460	6,454	6,346	6,016	5,823	5,904	5,799
Deaths	517	2,323	2,377	2,462	2,375	2,488	2,610	2,557	2,614	2,736	2,892
Natural Increase	1,156	4,538	4,431	4,101	4,085	3,966	3,736	3,459	3,209	3,168	2,907
Net Migration	164	-507	-516	-2,173	-2,272	-1,761	-459	-3,096	-3,658	-3,148	-5,371
International	71	8	292	345	534	890	980	275	-252	-412	-260
Domestic	-260	93	-515	-808	-2,518	-2,806	-2,651	-1,439	-3,371	-3,406	-2,736
Group Quarters	18,993	19,246	19,069	18,245	17,393	17,414	17,988	18,017	17,682	17,659	17,092

City/Place	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Sand City city 0665112	335	337	340	343	377	378	381	384	396	399
Seaside city 0670742	33,094	33,329	33,731	33,929	33,945	34,255	34,198	33,872	33,782	33,748
Soledad city 0672520	26,027	25,239	26,391	26,459	25,772	24,882	25,594	26,154	25,968	25,999
Balance of Monterey County 0699990	100,496	101,524	102,683	103,658	104,312	104,942	106,041	106,496	106,687	106,714
Del Rey Oaks city 0618688	1,628	1,640	1,655	1,664	1,670	1,674	1,679	1,672	1,662	1,654
Marina city 0645778	19,743	19,876	20,149	20,269	20,680	21,071	21,622	21,986	22,456	22,781
Carmel-by-the-Sea city 0611250	3,687	3,716	3,749	3,780	3,804	3,821	3,836	3,822	3,815	3,811
Gonzales city 0630392	8,171	8,230	8,301	8,349	8,379	8,402	8,428	8,396	8,349	8,306
Greenfield city 0630994	16,414	16,540	16,682	16,766	16,826	17,047	17,361	17,362	17,561	17,516
King City city 0638520	12,902	13,001	13,119	13,189	13,482	13,789	13,830	13,941	13,970	14,077
Monterey city 0648872	27,908	28,246	28,750	28,600	28,549	28,496	28,568	28,411	28,170	28,178
Pacific Grove city 0654848	15,081	15,214	15,355	15,435	15,495	15,551	15,585	15,575	15,487	15,413
Salinas city 0664224	150,887	152,412	153,815	154,958	155,717	156,244	156,830	156,463	155,647	155,465

Based on ACS 2019, there were 473 mover partner areas for Monterey County, CA. There were a total inbound movers of 26695 and a total outbound movers of 23706, for a net movers of -560 (direct sums of columns shown below; nulls treated as zero). No county level data on the number of outbound movers to foreign locations are included in these mobility data. Detail file saved as c:\dede\movers_2019_06053.dbf.

Residence 1 Year Age	Geocode	Moved to 06053	Moved from 06053	Net Movers
Africa	null	20	null	null
Asia	null	1603	null	null
Central America	null	1152	null	null
Europe	null	515	null	null
U.S. Island Areas	null	33	null	null
Northern America	null	83	null	null
Oceania and At Sea	null	73	null	null
South America	null	70	null	null
Calhoun County, Alabama	01015	4	0	4
Etowah County, Alabama	01055	20	0	20
Tuscaloosa County, Alabama	01125	0	21	-21
Walker County, Alabama	01127	29	0	29
Aleutians West Census Area, Alaska	02016	0	2	-2
Anchorage Municipality, Alaska	02020	20	24	-4
Fairbanks North Star Borough, Alaska	02090	20	0	20
Kodiak Island Borough, Alaska	02150	0	13	-13
Matanuska-Susitna Borough, Alaska	02170	0	9	-9
Valdez-Cordova Census Area, Alaska	02261	0	7	-7
Cochise County, Arizona	04003	63	36	27
Maricopa County, Arizona	04013	227	311	-84
Mohave County, Arizona	04015	0	20	-20
Pima County, Arizona	04019	129	97	32
Pinal County, Arizona	04021	61	25	36
Yavapai County, Arizona	04025	18	0	18
Yuma County, Arizona	04027	77	322	-245
Benton County, Arkansas	05007	0	12	-12
Jefferson County, Arkansas	05069	1	0	1
Pulaski County, Arkansas	05119	21	0	21
Sharp County, Arkansas	05135	17	0	17
Washington County, Arkansas	05143	0	93	-93
Alameda County, California	06001	449	402	47
Alpine County, California	06003	0	4	-4
Amador County, California	06005	28	76	-48
Butte County, California	06007	57	91	-34
Calaveras County, California	06009	9	0	9
Contra Costa County, California	06013	184	123	61
Del Norte County, California	06015	58	19	39
El Dorado County, California	06017	83	353	-270
Fresno County, California	06019	701	718	-17
Humboldt County, California	06023	2	24	-22
Imperial County, California	06025	44	284	-240
Kern County, California	06029	559	376	183
Kings County, California	06031	353	443	-90
Lake County, California	06033	115	0	115
Lassen County, California	06035	28	133	-105
Los Angeles County, California	06037	1154	767	387
Madera County, California	06039	177	234	-57
Marin County, California	06041	142	127	15
Mariposa County, California	06043	23	0	23
Mendocino County, California	06045	31	31	0
Merced County, California	06047	884	640	244
Modoc County, California	06049	0	20	-20
Napa County, California	06055	10	518	-508
Nevada County, California	06057	34	149	-115
Orange County, California	06059	242	523	-281
Placer County, California	06061	9	255	-246
Plumas County, California	06063	0	48	-48
Riverside County, California	06065	918	251	667
Sacramento County, California	06067	374	651	-277
San Benito County, California	06069	351	119	232
San Bernardino County, California	06071	300	323	-23
San Diego County, California	06073	772	670	102
San Francisco County, California	06075	240	112	128
San Joaquin County, California	06077	293	293	0
San Luis Obispo County, California	06079	357	633	-276
San Mateo County, California	06081	278	83	195
Santa Barbara County, California	06083	153	87	66
Santa Clara County, California	06085	1195	1063	132
Santa Cruz County, California	06087	1706	825	881
Shasta County, California	06089	74	118	-44
Siskiyou County, California	06093	7	38	-31
Solano County, California	06095	122	252	-130
Sonoma County, California	06097	111	54	57
Stanislaus County, California	06099	297	305	-8
Sutter County, California	06101	13	6	7
Tehama County, California	06103	0	259	-259
Trinity County, California	06105	0	4	-4
Tulare County, California	06107	167	202	-35
Tuolumne County, California	06109	100	68	32
Ventura County, California	06111	509	174	335
Yolo County, California	06113	294	276	18
Adams County, Colorado	08001	11	62	-51
Arapahoe County, Colorado	08005	25	12	13
Boulder County, Colorado	08013	10	23	-13
Broomfield County, Colorado	08014	10	0	10
Douglas County, Colorado	08035	22	0	22
El Paso County, Colorado	08041	248	109	139
Larimer County, Colorado	08069	0	55	-55
Mesa County, Colorado	08077	33	26	7
Pueblo County, Colorado	08101	63	0	63
Saguache County, Colorado	08109	10	0	10
Fairfield County, Connecticut	09001	27	0	27
Hartford County, Connecticut	09003	0	37	-37
New Haven County, Connecticut	09009	69	0	69
New London County, Connecticut	09011	76	199	-123
Tolland County, Connecticut	09013	0	7	-7
New Castle County, Delaware	10003	21	0	21
Sussex County, Delaware	10005	13	0	13
District of Columbia, District of Columbia	11001	6	36	-30
Alachua County, Florida	12001	66	0	66
Brevard County, Florida	12009	15	0	15
Broward County, Florida	12011	8	0	8
Duval County, Florida	12031	17	0	17
Escambia County, Florida	12033	0	30	-30
Hillsborough County, Florida	12057	16	18	-2
Lee County, Florida	12071	26	0	26
Miami-Dade County, Florida	12086	57	70	-13
Monroe County, Florida	12087	12	0	12
Okaloosa County, Florida	12091	46	19	27
Orange County, Florida	12095	8	0	8
Palm Beach County, Florida	12099	15	15	0
Pinellas County, Florida	12103	27	20	7
St. Johns County, Florida	12109	5	0	5
St. Lucie County, Florida	12111	15	10	5
Sarasota County, Florida	12115	19	37	-18
Bleckley County, Georgia	13023	40	0	40
Bryan County, Georgia	13029	17	0	17
Camden County, Georgia	13039	0	33	-33
Carroll County, Georgia	13045	0	14	-14
Chatham County, Georgia	13051	0	12	-12
Chattahoochee County, Georgia	13053	51	10	41
Clarke County, Georgia	13059	20	0	20
Columbia County, Georgia	13073	101	73	28
Fayette County, Georgia	13113	83	0	83
Fulton County, Georgia	13121	0	41	-41
Lowndes County, Georgia	13185	0	14	-14
Muscogee County, Georgia	13215	0	7	-7
Polk County, Georgia	13233	5	0	5
Richmond County, Georgia	13245	24	213	-189
Ware County, Georgia	13299	9	0	9
Whitfield County, Georgia	13313	0	25	-25
Honolulu County, Hawaii	15003	170	240	-70
Kauai County, Hawaii	15007	7	0	7
Maui County, Hawaii	15009	14	8	6
Ada County, Idaho	16001	17	0	17
Bonneville County, Idaho	16019	0	13	-13
Canyon County, Idaho	16027	0	29	-29
Kootenai County, Idaho	16055	0	35	-35
Clinton County, Illinois	17027	36	0	36
Cook County, Illinois	17031	142	26	116
DuPage County, Illinois	17043	19	107	-88
Kane County, Illinois	17089	8	0	8
Lake County, Illinois	17097	0	94	-94
Will County, Illinois	17197	45	0	45
Winnebago County, Illinois	17201	5	0	5
Cass County, Indiana	18017	3	0	3
Floyd County, Indiana	18043	8	0	8
Hamilton County, Indiana	18057	34	0	34
Hancock County, Indiana	18059	26	0	26
St. Joseph County, Indiana	18141	20	0	20
Warren County, Indiana	18171	4	0	4
Dickinson County, Iowa	19059	17	0	17
Harrison County, Iowa	19085	0	5	-5
Johnson County, Iowa	19103	11	0	11
Louisa County, Iowa	19115	0	3	-3
Geary County, Kansas	20061	71	0	71
Fayette County, Kentucky	21067	28	0	28
Hardin County, Kentucky	21093	16	0	16
Jefferson County, Kentucky	21111	0	1	-1
Calcasieu Parish, Louisiana	22019	11	0	11
East Baton Rouge Parish, Louisiana	22033	0	17	-17
Orleans Parish, Louisiana	22071	19	39	-20
Rapides Parish, Louisiana	22079	0	75	-75
St. Tammany Parish, Louisiana	22103	72	0	72
Vernon Parish, Louisiana	22115	0	10	-10
Aroostook County, Maine	23003	8	0	8
Sagadahoc County, Maine	23023	0	14	-14
York County, Maine	23031	0	14	-14
Anne Arundel County, Maryland	24003	243	263	-20
Frederick County, Maryland	24021	13	48	-35
Howard County, Maryland	24027	27	0	27
Montgomery County, Maryland	24031	19	29	-10
Prince George's County, Maryland	24033	0	5	-5
Washington County, Maryland	24043	0	14	-14
Baltimore city, Maryland	24510	52	7	45
Berkshire County, Massachusetts	25003	0	11	-11
Essex County, Massachusetts	25009	13	0	13
Franklin County, Massachusetts	25011	0	3	-3
Middlesex County, Massachusetts	25017	50	20	30
Suffolk County, Massachusetts	25025	50	0	50
Cheboygan County, Michigan	26031	8	0	8
Genesee County, Michigan	26049	0	10	-10
Iron County, Michigan	26071	6	0	6
Macomb County, Michigan	26099	12	0	12
Oakland County, Michigan	26125	0	9	-9
Dakota County, Minnesota	27037	29	0	29
Hennepin County, Minnesota	27053	39	0	39
Isanti County, Minnesota	27059	7	0	7
McLeod County, Minnesota	27085	0	15	-15
Ramsey County, Minnesota	27123	0	20	-20
St. Louis County, Minnesota	27137	0	12	-12
Wright County, Minnesota	27171	6	0	6
Harrison County, Mississippi	28047	0	45	-45
Lee County, Mississippi	28081	8	0	8
Pontotoc County, Mississippi	28115	13	38	-25
Tallahatchie County, Mississippi	28135	21	0	21
Johnson County, Missouri	29101	142	0	142
Stone County, Missouri	29209	8	0	8
Cascade County, Montana	30013	31	0	31
Gallatin County, Montana	30031	12	0	12
Missoula County, Montana	30063	0	9	-9
Yellowstone County, Montana	30111	12	0	12
Douglas County, Nebraska	31055	118	6	112
Sarpy County, Nebraska	31153	36	93	-57
Clark County, Nevada	32003	160	276	-116
Douglas County, Nevada	32005	0	21	-21
Elko County, Nevada	32007	0	3	-3
Lyon County, Nevada	32019	25	3	22
Nye County, Nevada	32023	5	0	5
Pershing County, Nevada	32027	0	67	-67
Washoe County, Nevada	32031	34	38	-4
Grafton County, New Hampshire	33009	7	0	7
Merrimack County, New Hampshire	33013	18	0	18
Bergen County, New Jersey	34003	6	0	6
Burlington County, New Jersey	34005	27	19	8
Camden County, New Jersey	34007	63	0	63
Essex County, New Jersey	34013	0	5	-5
Gloucester County, New Jersey	34015	70	0	70
Hudson County, New Jersey	34017	0	9	-9
Middlesex County, New Jersey	34023	0	32	-32
Bernalillo County, New Mexico	35001	42	0	42
Doña Ana County, New Mexico	35013	15	0	15
Santa Fe County, New Mexico	35049	0	26	-26
Torrance County, New Mexico	35057	0	10	-10
Valencia County, New Mexico	35061	0	108	-108
Bronx County, New York	36005	16	54	-38
Chautauqua County, New York	36013	6	0	6
Clinton County, New York	36019	0	5	-5
Kings County, New York	36047	0	74	-74
Monroe County, New York	36055	10	0	10
Nassau County, New York	36059	2	0	2
New York County, New York	36061	16	0	16
Onondaga County, New York	36067	18	15	3
Orange County, New York	36071	8	0	8
Queens County, New York	36081	0	20	-20
Rensselaer County, New York	36083	3	0	3
Saratoga County, New York	36091	0	4	-4
Tompkins County, New York	36109	12	9	3
Westchester County, New York	36119	17	0	17
Craven County, North Carolina	37049	48	36	12
Cumberland County, North Carolina	37051	85	105	-20
Durham County, North Carolina	37063	7	47	-40
Forsyth County, North Carolina	37067	25	0	25
Granville County, North Carolina	37077	8	0	8
Harnett County, North Carolina	37085	156	0	156
Mecklenburg County, North Carolina	37119	0	20	-20
Onslow County, North Carolina	37133	179	116	63
Rowan County, North Carolina	37159	4	0	4
Surry County, North Carolina	37171	0	10	-10
Wake County, North Carolina	37183	0	40	-40
Burleigh County, North Dakota	38015	63	0	63
Cass County, North Dakota	38017	9	0	9
Nelson County, North Dakota	38063	22	0	22
Ward County, North Dakota	38101	279	0	279
Cuyahoga County, Ohio	39035	31	9	22
Franklin County, Ohio	39049	13	26	-13
Geauga County, Ohio	39055	28	0	28
Greene County, Ohio	39057	14	0	14
Hamilton County, Ohio	39061	44	0	44
Lucas County, Ohio	39095	4	0	4
Montgomery County, Ohio	39113	0	6	-6
Scioto County, Ohio	39145	10	0	10
Stark County, Ohio	39151	0	34	-34
Trumbull County, Ohio	39155	23	0	23
Cleveland County, Oklahoma	40027	0	17	-17
Comanche County, Oklahoma	40031	0	8	-8
Delaware County, Oklahoma	40041	10	0	10
Noble County, Oklahoma	40103	0	4	-4
Oklahoma County, Oklahoma	40109	19	217	-198
Payne County, Oklahoma	40119	5	0	5
Pottawatomie County, Oklahoma	40125	0	18	-18
Tulsa County, Oklahoma	40143	0	39	-39
Washington County, Oklahoma	40147	0	40	-40
Clackamas County, Oregon	41005	15	89	-74
Clatsop County, Oregon	41007	100	0	100
Crook County, Oregon	41013	24	0	24
Deschutes County, Oregon	41017	0	16	-16
Douglas County, Oregon	41019	9	16	-7
Jackson County, Oregon	41029	32	0	32
Klamath County, Oregon	41035	6	0	6
Lane County, Oregon	41039	21	60	-39
Marion County, Oregon	41047	12	29	-17
Multnomah County, Oregon	41051	27	164	-137
Polk County, Oregon	41053	0	35	-35
Washington County, Oregon	41067	0	341	-341
Yamhill County, Oregon	41071	0	2	-2
Bucks County, Pennsylvania	42017	0	23	-23
Centre County, Pennsylvania	42027	0	14	-14
Cumberland County, Pennsylvania	42041	48	0	48
Delaware County, Pennsylvania	42045	0	18	-18
Lebanon County, Pennsylvania	42075	0	19	-19
Montgomery County, Pennsylvania	42091	22	16	6
Northumberland County, Pennsylvania	42097	31	0	31
Kent County, Rhode Island	44003	0	21	-21
Newport County, Rhode Island	44005	0	183	-183
Providence County, Rhode Island	44007	0	37	-37
Aiken County, South Carolina	45003	23	0	23
Beaufort County, South Carolina	45013	0	12	-12
Berkeley County, South Carolina	45015	17	21	-4
Charleston County, South Carolina	45019	48	0	48
Dorchester County, South Carolina	45035	0	59	-59
Florence County, South Carolina	45041	0	34	-34
Lexington County, South Carolina	45063	25	0	25
Pickens County, South Carolina	45077	11	0	11
Richland County, South Carolina	45079	51	15	36
Sumter County, South Carolina	45085	28	35	-7
Minnehaha County, South Dakota	46099	19	0	19
Davidson County, Tennessee	47037	73	0	73
Hamilton County, Tennessee	47065	0	62	-62
Knox County, Tennessee	47093	62	0	62
Lake County, Tennessee	47095	1	0	1
Montgomery County, Tennessee	47125	139	49	90
Shelby County, Tennessee	47157	38	0	38
Wilson County, Tennessee	47189	59	0	59
Bell County, Texas	48027	81	92	-11
Bexar County, Texas	48029	86	187	-101
Bowie County, Texas	48037	6	0	6
Brazoria County, Texas	48039	0	9	-9
Cameron County, Texas	48061	21	0	21
Coryell County, Texas	48099	0	10	-10
Dallas County, Texas	48113	6	209	-203
El Paso County, Texas	48141	14	129	-115
Fort Bend County, Texas	48157	25	77	-52
Guadalupe County, Texas	48187	0	92	-92
Harris County, Texas	48201	49	40	9
Hartley County, Texas	48205	153	0	153
Henderson County, Texas	48213	17	0	17
Hidalgo County, Texas	48215	0	6	-6
Johnson County, Texas	48251	0	22	-22
Kaufman County, Texas	48257	0	39	-39
Lubbock County, Texas	48303	0	5	-5
Montgomery County, Texas	48339	4	0	4
Nueces County, Texas	48355	0	19	-19
Panola County, Texas	48365	0	6	-6
Potter County, Texas	48375	9	0	9
Rusk County, Texas	48401	0	5	-5
Shelby County, Texas	48419	18	0	18
Smith County, Texas	48423	15	0	15
Tarrant County, Texas	48439	83	21	62
Tom Green County, Texas	48451	0	224	-224
Travis County, Texas	48453	29	36	-7
Williamson County, Texas	48491	0	7	-7
Wise County, Texas	48497	23	0	23
Cache County, Utah	49005	14	1	13
Davis County, Utah	49011	5	0	5
Salt Lake County, Utah	49035	24	49	-25
Utah County, Utah	49049	48	9	39
Wasatch County, Utah	49051	0	18	-18
Washington County, Utah	49053	0	6	-6
Addison County, Vermont	50001	18	0	18
Windham County, Vermont	50025	0	14	-14
Arlington County, Virginia	51013	7	193	-186
Fairfax County, Virginia	51059	17	162	-145
Fauquier County, Virginia	51061	0	46	-46
Fluvanna County, Virginia	51065	11	0	11
Hanover County, Virginia	51085	13	0	13
Loudoun County, Virginia	51107	0	45	-45
Middlesex County, Virginia	51119	0	6	-6
Prince George County, Virginia	51149	0	15	-15
Roanoke County, Virginia	51161	3	0	3
Stafford County, Virginia	51179	20	84	-64
York County, Virginia	51199	0	14	-14
Alexandria city, Virginia	51510	12	9	3
Chesapeake city, Virginia	51550	55	66	-11
Fredericksburg city, Virginia	51630	0	7	-7
Hampton city, Virginia	51650	0	36	-36
Virginia Beach city, Virginia	51810	80	10	70
Clark County, Washington	53011	0	111	-111
Douglas County, Washington	53017	0	6	-6
Island County, Washington	53029	0	82	-82
King County, Washington	53033	163	55	108
Kitsap County, Washington	53035	101	0	101
Lewis County, Washington	53041	0	22	-22
Pierce County, Washington	53053	142	127	15
San Juan County, Washington	53055	0	9	-9
Skagit County, Washington	53057	92	0	92
Snohomish County, Washington	53061	23	55	-32
Spokane County, Washington	53063	0	164	-164
Thurston County, Washington	53067	27	121	-94
Whitman County, Washington	53075	14	0	14
Yakima County, Washington	53077	14	115	-101
Nicholas County, West Virginia	54067	12	0	12
Dane County, Wisconsin	55025	71	0	71
Milwaukee County, Wisconsin	55079	25	14	11
Monroe County, Wisconsin	55081	24	0	24
Shawano County, Wisconsin	55115	4	0	4
Laramie County, Wyoming	56021	10	0	10
Sheridan County, Wyoming	56033	0	9	-9
Teton County, Wyoming	56039	50	0	50
Aguadilla Municipio, Puerto Rico	72005	0	25	-25
Guaynabo Municipio, Puerto Rico	72061	13	0	13
Bridgeport town, Fairfield County, Connecticut	0900108070	19	0	19
Stratford town, Fairfield County, Connecticut	0900174190	8	0	8
Bloomfield town, Hartford County, Connecticut	0900305910	0	20	-20
East Granby town, Hartford County, Connecticut	0900322070	0	17	-17
Oxford town, New Haven County, Connecticut	0900958300	69	0	69
Groton town, New London County, Connecticut	0901134250	0	24	-24
Ledyard town, New London County, Connecticut	0901142600	0	175	-175
New London town, New London County, Connecticut	0901152350	76	0	76
Vernon town, Tolland County, Connecticut	0901378250	0	7	-7
Presque Isle city, Aroostook County, Maine	2300360825	8	0	8
West Bath town, Sagadahoc County, Maine	2302381930	0	14	-14
Alfred town, York County, Maine	2303100730	0	14	-14
Stockbridge town, Berkshire County, Massachusetts	2500367595	0	11	-11
Wenham town, Essex County, Massachusetts	2500974595	13	0	13
Ashfield town, Franklin County, Massachusetts	2501102095	0	3	-3
Belmont town, Middlesex County, Massachusetts	2501705070	50	0	50
Cambridge city, Middlesex County, Massachusetts	2501711000	0	20	-20
Boston city, Suffolk County, Massachusetts	2502507000	50	0	50
Inverness township, Cheboygan County, Michigan	2603140820	8	0	8
Davison township, Genesee County, Michigan	2604919900	0	10	-10
Mastodon township, Iron County, Michigan	2607152300	6	0	6
Warren city, Macomb County, Michigan	2609984000	12	0	12
Orion charter township, Oakland County, Michigan	2612561100	0	9	-9
Apple Valley city, Dakota County, Minnesota	2703701900	11	0	11
Farmington city, Dakota County, Minnesota	2703720618	12	0	12
West St. Paul city, Dakota County, Minnesota	2703769700	6	0	6
Minneapolis city, Hennepin County, Minnesota	2705343000	9	0	9
New Hope city, Hennepin County, Minnesota	2705345628	15	0	15
Wayzata city, Hennepin County, Minnesota	2705368818	15	0	15
Isanti township, Isanti County, Minnesota	2705931346	7	0	7
Sumter township, McLeod County, Minnesota	2708563436	0	15	-15
St. Paul city, Ramsey County, Minnesota	2712358000	0	20	-20
Duluth city, St. Louis County, Minnesota	2713717000	0	12	-12
Silver Creek township, Wright County, Minnesota	2717160340	6	0	6
Grafton town, Grafton County, New Hampshire	3300930820	7	0	7
Hopkinton town, Merrimack County, New Hampshire	3301337540	18	0	18
Fair Lawn borough, Bergen County, New Jersey	3400322470	6	0	6
New Hanover township, Burlington County, New Jersey	3400551510	27	0	27
North Hanover township, Burlington County, New Jersey	3400553070	0	4	-4
Riverton borough, Burlington County, New Jersey	3400563660	0	15	-15
Camden city, Camden County, New Jersey	3400710000	63	0	63
Newark city, Essex County, New Jersey	3401351000	0	5	-5
Deptford township, Gloucester County, New Jersey	3401517710	70	0	70
Jersey City city, Hudson County, New Jersey	3401736000	0	9	-9
Edison township, Middlesex County, New Jersey	3402320230	0	32	-32
Bronx borough, Bronx County, New York	3600508510	16	54	-38
Carroll town, Chautauqua County, New York	3601312639	6	0	6
Plattsburgh city, Clinton County, New York	3601958574	0	5	-5
Brooklyn borough, Kings County, New York	3604710022	0	74	-74
Irondequoit town, Monroe County, New York	3605537726	10	0	10
North Hempstead town, Nassau County, New York	3605953000	2	0	2
Manhattan borough, New York County, New York	3606144919	16	0	16
Syracuse city, Onondaga County, New York	3606773000	18	15	3
Woodbury town, Orange County, New York	3607182755	8	0	8
Queens borough, Queens County, New York	3608160323	0	20	-20
Schaghticoke town, Rensselaer County, New York	3608365486	3	0	3
Saratoga Springs city, Saratoga County, New York	3609165255	0	4	-4
Ithaca city, Tompkins County, New York	3610938077	12	9	3
Yonkers city, Westchester County, New York	3611984000	17	0	17
Middletown township, Bucks County, Pennsylvania	4201749120	0	23	-23
State College borough, Centre County, Pennsylvania	4202773808	0	14	-14
Carlisle borough, Cumberland County, Pennsylvania	4204111272	48	0	48
Haverford township, Delaware County, Pennsylvania	4204533144	0	18	-18
Cornwall borough, Lebanon County, Pennsylvania	4207516256	0	19	-19
Abington township, Montgomery County, Pennsylvania	4209100156	0	10	-10
Lower Merion township, Montgomery County, Pennsylvania	4209144976	0	6	-6
Springfield township, Montgomery County, Pennsylvania	4209173088	22	0	22
Ralpho township, Northumberland County, Pennsylvania	4209763328	31	0	31
West Greenwich town, Kent County, Rhode Island	4400377720	0	21	-21
Newport city, Newport County, Rhode Island	4400549960	0	183	-183
East Providence city, Providence County, Rhode Island	4400722960	0	37	-37
Middlebury town, Addison County, Vermont	5000144350	18	0	18
Marlboro town, Windham County, Vermont	5002543375	0	4	-4
Putney town, Windham County, Vermont	5002557700	0	10	-10
DeForest village, Dane County, Wisconsin	5502519350	9	0	9
Madison city, Dane County, Wisconsin	5502548000	10	0	10
Sun Prairie town, Dane County, Wisconsin	5502578625	52	0	52
Milwaukee city, Milwaukee County, Wisconsin	5507953000	0	14	-14
Wauwatosa city, Milwaukee County, Wisconsin	5507984675	25	0	25
Sparta city, Monroe County, Wisconsin	5508175325	24	0	24
Bonduel village, Shawano County, Wisconsin	5511508725	4	0	4

GENERAL DEMOGRAPHIC CHARACTERISTICS (DP1)	ItemCode	ACS 2019 5-year	Percent	2020 Estimate	2020 Percent	2025 Projection	2025 Percent
SEX AND AGE
.Total population	D001	433,410
..Male	D002	221,001	51.0
..Female	D003	212,409	49.0
..Sex ratio (males per 100 females)	D004	104.0

..Under 5 years	D005	31,503	7.3
..5 to 9 years	D006	31,683	7.3
..10 to 14 years	D007	32,720	7.5
..15 to 19 years	D008	30,792	7.1
..20 to 24 years	D009	31,044	7.2
..25 to 34 years	D010	62,605	14.4
..35 to 44 years	D011	56,417	13.0
..45 to 54 years	D012	51,264	11.8
..55 to 59 years	D013	25,407	5.9
..60 to 64 years	D014	22,735	5.2
..65 to 74 years	D015	33,366	7.7
..75 to 84 years	D016	15,625	3.6
..85 years and over	D017	8,249	1.9

..Median age (years)	D018	34.4

..Under 18 years	D019	113,869	26.3
..16 years and over	D020	331,873	76.6
..18 years and over	D021	319,541	73.7
..21 years and over	D022	299,496	69.1
..62 years and over	D023	70,343	16.2
..65 years and over	D024	57,240	13.2

..18 years and over	D025	319,541
...Male	D026	162,827	51.0
...Female	D027	156,714	49.0
...Sex ratio (males per 100 females)	D028	103.9

..65 years and over	D029	57,240
...Male	D030	26,121	45.6
...Female	D031	31,119	54.4
...Sex ratio (males per 100 females)	D032	83.9

RACE
.Total population	D033	433,410
..One race	D034	414,854	95.7
..Two or more races	D035	18,556	4.3

..One race	D036	414,854	95.7
...White	D037	230,992	53.3
...Black or African American	D038	11,367	2.6
...American Indian and Alaska Native	D039	2,993	0.7
....Cherokee tribal grouping	D040	191	0.0
....Chippewa tribal grouping	D041	0
....Navajo tribal grouping	D042	10	0.0
....Sioux tribal grouping	D043	7	0.0
...Asian	D044	24,326	5.6
....Asian Indian	D045	2,624	0.6
....Chinese	D046	2,953	0.7
....Filipino	D047	10,542	2.4
....Japanese	D048	2,094	0.5
....Korean	D049	2,617	0.6
....Vietnamese	D050	1,808	0.4
....Other Asian	D051	1,688	0.4
...Native Hawaiian and Other Pacific Islander	D052	2,135	0.5
....Native Hawaiian	D053	452	0.1
....Guamanian or Chamorro	D054	394	0.1
....Samoan	D055	419	0.1
....Other Pacific Islander	D056	870	0.2
...Some other race	D057	143,041	33.0
..Two or more races	D058	18,556	4.3
...White and Black or African American	D059	2,367	0.5
...White and American Indian and Alaska Native	D060	2,679	0.6
...White and Asian	D061	5,238	1.2
...Black or African American and American Indian and Alaska Native	D062	138	0.0

Race alone or in combination with one or more other races
.Total population	D063	433,410
..White	D064	246,039	56.8
..Black or African American	D065	15,884	3.7
..American Indian and Alaska Native	D066	7,051	1.6
..Asian	D067	33,828	7.8
..Native Hawaiian and Other Pacific Islander	D068	4,516	1.0
..Some other race	D069	147,294	34.0

HISPANIC OR LATINO AND RACE
.Total population	D070	433,410
..Hispanic or Latino (of any race)	D071	254,294	58.7
...Mexican	D072	236,721	54.6
...Puerto Rican	D073	2,315	0.5
...Cuban	D074	512	0.1
...Other Hispanic or Latino	D075	14,746	3.4
..Not Hispanic or Latino	D076	179,116	41.3
...White alone	D077	129,738	29.9
...Black or African American alone	D078	10,737	2.5
...American Indian and Alaska Native alone	D079	819	0.2
...Asian alone	D080	23,348	5.4
...Native Hawaiian and Other Pacific Islander alone	D081	1,982	0.5
...Some other race alone	D082	561	0.1
...Two or more races	D083	11,931	2.8
....Two races including Some other race	D084	307	0.1
....Two races excluding Some other race, and Three or more races	D085	11,624	2.7

.Total housing units	D086	141,820

CITIZEN, VOTING AGE POPULATION
.Citizen, 18 and over population	D087	231,872
..Male	D088	117,221	50.6
..Female	D089	114,651	49.4

SOCIAL CHARACTERISTICS (DP2)	ItemCode	ACS 2019 5-year	Percent	2020 Estimate	2020 Percent	2025 Projection	2025 Percent
HOUSEHOLDS BY TYPE
.Total households	S001	127,155
..Married-couple family	S002	66,738	52.5
...With own children of the householder under 18 years	S003	29,946	23.6
..Cohabiting couple household	S004	9,888	7.8
...With own children of the householder under 18 years	S005	5,273	4.1
..Male householder, no spouse/partner present	S006	19,460	15.3
...With own children of the householder under 18 years	S007	1,597	1.3
...Householder living alone	S008	11,560	9.1
....65 years and over	S009	4,401	3.5
..Female householder, no spouse/partner present	S010	31,069	24.4
...With own children of the householder under 18 years	S011	5,900	4.6
...Householder living alone	S012	15,959	12.6
....65 years and over	S013	8,559	6.7

..Households with one or more people under 18 years	S014	49,421	38.9
..Households with one or more people 65 years and over	S015	39,506	31.1

..Average household size	S016	3.3
..Average family size	S017	3.8

RELATIONSHIP
.Population in households	S018	415,777
..Householder	S019	127,155	30.6
..Spouse	S020	66,680	16.0
..Unmarried partner	S021	9,892	2.4
..Child	S022	142,063	34.2
..Other relatives	S023	50,925	12.2
..Other nonrelatives	S024	19,062	4.6

MARITAL STATUS
.Males 15 years and over	S025	171,910
..Never married	S026	73,154	42.6
..Now married, except separated	S027	80,380	46.8
..Separated	S028	2,730	1.6
..Widowed	S029	4,167	2.4
..Divorced	S030	11,479	6.7

.Females 15 years and over	S031	165,594
..Never married	S032	58,259	35.2
..Now married, except separated	S033	76,575	46.2
..Separated	S034	3,540	2.1
..Widowed	S035	12,113	7.3
..Divorced	S036	15,107	9.1

FERTILITY
.Number of women 15 to 50 years old who had a birth in the past 12 months	S037	4,736
..Unmarried women (widowed, divorced, and never married)	S038	1,605	33.9
...Per 1,000 unmarried women	S039	28
..Per 1,000 women 15 to 50 years old	S040	47
..Per 1,000 women 15 to 19 years old	S041	8
..Per 1,000 women 20 to 34 years old	S042	76
..Per 1,000 women 35 to 50 years old	S043	30

GRANDPARENTS
.Number of grandparents living with own grandchildren under 18 years	S044	13,895
..Grandparents responsible for grandchildren	S045	1,898	13.7
..Years responsible for grandchildren
...Less than 1 year	S046	319	2.3
...1 or 2 years	S047	297	2.1
...3 or 4 years	S048	296	2.1
...5 or more years	S049	986	7.1

.Number of grandparents responsible for own grandchildren under 18 years	S050	1,898
..Who are female	S051	1,189	62.6
..Who are married	S052	1,406	74.1

SCHOOL ENROLLMENT
.Population 3 years and over enrolled in school	S053	122,014
..Nursery school, preschool	S054	5,610	4.6
..Kindergarten	S055	6,506	5.3
..Elementary school (grades 1-8)	S056	50,240	41.2
..High school (grades 9-12)	S057	26,961	22.1
..College or graduate school	S058	32,697	26.8

EDUCATIONAL ATTAINMENT
.Population 25 years and over	S059	275,668
..Less than 9th grade	S060	54,055	19.6
..9th to 12th grade, no diploma	S061	24,464	8.9
..High school graduate (includes equivalency)	S062	56,000	20.3
..Some college, no degree	S063	50,415	18.3
..Associate's degree	S064	22,628	8.2
..Bachelor's degree	S065	40,905	14.8
..Graduate or professional degree	S066	27,201	9.9

..High school graduate or higher	S067	197,149	71.5
..Bachelor's degree or higher	S068	68,106	24.7

VETERAN STATUS
.Civilian population 18 years and over	S069	314,202
..Civilian veterans	S070	16,874	5.4

DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
.Total Civilian Noninstitutionalized Population	S071	417,249
..With a disability	S072	36,910	8.8

.Under 18 years	S073	113,725
..With a disability	S074	3,498	3.1

.18 to 64 years	S075	247,402
..With a disability	S076	16,234	6.6

.65 years and over	S077	56,122
..With a disability	S078	17,178	30.6

RESIDENCE 1 YEAR AGO
.Population 1 year and over	S079	427,743
..Same house	S080	377,277	88.2
..Different house in the U.S.	S081	46,904	11.0
...Same county	S082	24,713	5.8
...Different county	S083	22,191	5.2
....Same state	S084	14,007	3.3
....Different state	S085	8,184	1.9
..Abroad	S086	3,562	0.8

PLACE OF BIRTH
.Total population	S087	433,410
..Native	S088	304,325	70.2
...Born in United States	S089	297,533	68.6
....State of residence	S090	236,157	54.5
....Different state	S091	61,376	14.2
...Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	S092	6,792	1.6
..Foreign born	S093	129,085	29.8

U.S. CITIZENSHIP STATUS
.Foreign-born population	S094	129,085
..Naturalized U.S. citizen	S095	35,930	27.8
..Not a U.S. citizen	S096	93,155	72.2

YEAR OF ENTRY
.Population born outside the United States	S097	135,877

..Native	S098	6,792
...Entered 2010 or later	S099	1,468	21.6
...Entered before 2010	S100	5,324	78.4

..Foreign born	S101	129,085
...Entered 2010 or later	S102	16,306	12.6
...Entered before 2010	S103	112,779	87.4

WORLD REGION OF BIRTH OF FOREIGN BORN
.Foreign-born population, excluding population born at sea	S104	129,085
..Europe	S105	5,752	4.5
..Asia	S106	16,595	12.9
..Africa	S107	785	0.6
..Oceania	S108	984	0.8
..Latin America	S109	104,024	80.6
..Northern America	S110	945	0.7

LANGUAGE SPOKEN AT HOME
.Population 5 years and over	S111	401,907
..English only	S112	180,070	44.8
..Language other than English	S113	221,837	55.2
...Speak English less than very well" "	S114	109,625	27.3
..Spanish	S115	195,450	48.6
...Speak English less than very well" "	S116	99,722	24.8
..Other Indo-European languages	S117	8,973	2.2
...Speak English less than very well" "	S118	2,299	0.6
..Asian and Pacific Islander languages	S119	14,682	3.7
...Speak English less than very well" "	S120	6,446	1.6
..Other languages	S121	2,732	0.7
...Speak English less than very well" "	S122	1,158	0.3

ANCESTRY
.Total population	S123	433,410
..American	S124	7,271	1.7
..Arab	S125	1,839	0.4
..Czech	S126	833	0.2
..Danish	S127	2,039	0.5
..Dutch	S128	2,619	0.6
..English	S129	21,968	5.1
..French (except Basque)	S130	5,540	1.3
..French Canadian	S131	760	0.2
..German	S132	24,914	5.7
..Greek	S133	1,047	0.2
..Hungarian	S134	958	0.2
..Irish	S135	19,802	4.6
..Italian	S136	14,149	3.3
..Lithuanian	S137	248	0.1
..Norwegian	S138	2,903	0.7
..Polish	S139	3,025	0.7
..Portuguese	S140	4,752	1.1
..Russian	S141	2,361	0.5
..Scotch-Irish	S142	1,994	0.5
..Scottish	S143	5,191	1.2
..Slovak	S144	324	0.1
..Subsaharan African	S145	1,539	0.4
..Swedish	S146	3,438	0.8
..Swiss	S147	1,943	0.4
..Ukrainian	S148	611	0.1
..Welsh	S149	1,443	0.3
..West Indian (excluding Hispanic origin groups)	S150	201	0.0

COMPUTERS AND INTERNET USE
.Total households	S151	127,155
..With a computer	S152	115,079	90.5
..With a broadband Internet subscription	S153	107,125	84.2

ECONOMIC CHARACTERISTICS (DP3)	ItemCode	ACS 2019 5-year	Percent	2020 Estimate	2020 Percent	2025 Projection	2025 Percent
EMPLOYMENT STATUS
.Population 16 years and over	E001	331,873
..In labor force	E002	202,743	61.1
...Civilian labor force	E003	197,404	59.5
....Employed	E004	187,708	56.6
....Unemployed	E005	9,696	2.9
...Armed Forces	E006	5,339	1.6
..Not in labor force	E007	129,130	38.9

.Civilian labor force	E008	197,404
..Unemployment Rate	E009	4.9

.Females 16 years and over	E010	162,747
..In labor force	E011	89,742	55.1
...Civilian labor force	E012	88,444	54.3
....Employed	E013	83,756	51.5

.Own children of the householder under 6 years	E014	36,551
..All parents in family in labor force	E015	20,139	55.1

.Own children of the householder 6 to 17 years	E016	72,389
..All parents in family in labor force	E017	45,398	62.7

COMMUTING TO WORK
.Workers 16 years and over	E018	189,872
..Car, truck, or van -- drove alone	E019	136,038	71.6
..Car, truck, or van -- carpooled	E020	19,646	10.3
..Public transportation (excluding taxicab)	E021	3,006	1.6
..Walked	E022	5,421	2.9
..Other means	E023	16,947	8.9
..Worked from home	E024	8,814	4.6

..Mean travel time to work (minutes)	E025	23.4

OCCUPATION
.Civilian employed population 16 years and over	E026	187,708
..Management, business, science, and arts occupations	E027	54,566	29.1
..Service occupations	E028	37,087	19.8
..Sales and office occupations	E029	35,152	18.7
..Natural resources, construction, and maintenance occupations	E030	38,719	20.6
..Production, transportation, and material moving occupations	E031	22,184	11.8

INDUSTRY
.Civilian employed population 16 years and over	E032	187,708
..Agriculture, forestry, fishing and hunting, and mining	E033	32,707	17.4
..Construction	E034	12,308	6.6
..Manufacturing	E035	9,606	5.1
..Wholesale trade	E036	5,132	2.7
..Retail trade	E037	17,458	9.3
..Transportation and warehousing, and utilities	E038	6,560	3.5
..Information	E039	2,515	1.3
..Finance and insurance, and real estate and rental and leasing	E040	6,688	3.6
..Professional, scientific, and management, and administrative and waste management services	E041	17,424	9.3
..Educational services, and health care and social assistance	E042	37,445	19.9
..Arts, entertainment, and recreation, and accommodation and food services	E043	21,480	11.4
..Other services, except public administration	E044	8,654	4.6
..Public administration	E045	9,731	5.2

CLASS OF WORKER
.Civilian employed population 16 years and over	E046	187,708
..Private wage and salary workers	E047	143,492	76.4
..Government workers	E048	28,610	15.2
..Self-employed in own not incorporated business workers	E049	15,187	8.1
..Unpaid family workers	E050	419	0.2

INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS)
.Total households	E051	127,155
..Less than $10,000	E052	4,557	3.6
..$10,000 to $14,999	E053	3,669	2.9
..$15,000 to $24,999	E054	9,410	7.4
..$25,000 to $34,999	E055	10,095	7.9
..$35,000 to $49,999	E056	15,119	11.9
..$50,000 to $74,999	E057	24,137	19.0
..$75,000 to $99,999	E058	18,105	14.2
..$100,000 to $149,999	E059	20,970	16.5
..$150,000 to $199,999	E060	9,789	7.7
..$200,000 or more	E061	11,304	8.9
..Median household income (dollars)	E062	71,015
..Mean household income (dollars)	E063	97,451

..With earnings	E064	104,168	81.9
...Mean earnings (dollars)	E065	91,308
..With Social Security	E066	38,259	30.1
...Mean Social Security income (dollars)	E067	19,147
..With retirement income	E068	22,376	17.6
...Mean retirement income (dollars)	E069	37,254

..With Supplemental Security Income	E070	5,735	4.5
...Mean Supplemental Security Income (dollars)	E071	9,359
..With cash public assistance income	E072	2,571	2.0
...Mean cash public assistance income (dollars)	E073	4,553
..With Food Stamp/SNAP benefits in the past 12 months	E074	9,190	7.2

.Families	E075	91,842
..Less than $10,000	E076	2,546	2.8
..$10,000 to $14,999	E077	1,958	2.1
..$15,000 to $24,999	E078	5,663	6.2
..$25,000 to $34,999	E079	6,495	7.1
..$35,000 to $49,999	E080	10,518	11.5
..$50,000 to $74,999	E081	17,511	19.1
..$75,000 to $99,999	E082	13,725	14.9
..$100,000 to $149,999	E083	16,125	17.6
..$150,000 to $199,999	E084	7,835	8.5
..$200,000 or more	E085	9,466	10.3
..Median family income (dollars)	E086	76,943
..Mean family income (dollars)	E087	104,875

.Per capita income (dollars)	E088	30,073

.Nonfamily households	E089	35,313
..Median nonfamily income (dollars)	E090	47,796
..Mean nonfamily income (dollars)	E091	69,422

.Median earnings for workers (dollars)	E092	29,620
.Median earnings for male full-time, year-round workers (dollars)	E093	45,650
.Median earnings for female full-time, year-round workers (dollars)	E094	41,753

HEALTH INSURANCE COVERAGE
.Civilian noninstitutionalized population	E095	417,249
..With health insurance coverage	E096	376,254	90.2
...With private health insurance	E097	239,671	57.4
...With public coverage	E098	176,021	42.2
..No health insurance coverage	E099	40,995	9.8

.Civilian noninstitutionalized population under 19 years	E100	119,690
..No health insurance coverage	E101	3,900	3.3

.Civilian noninstitutionalized population 19 to 64 years	E102	241,437
..In labor force:	E103	181,327
...Employed:	E104	172,887
....With health insurance coverage	E105	149,249	86.3
.....With private health insurance	E106	124,870	72.2
.....With public coverage	E107	28,302	16.4
....No health insurance coverage	E108	23,638	13.7
...Unemployed:	E109	8,440
....With health insurance coverage	E110	6,858	81.3
.....With private health insurance	E111	3,754	44.5
.....With public coverage	E112	3,451	40.9
....No health insurance coverage	E113	1,582	18.7
..Not in labor force:	E114	60,110
...With health insurance coverage	E115	48,828	81.2
....With private health insurance	E116	27,407	45.6
....With public coverage	E117	24,337	40.5
...No health insurance coverage	E118	11,282	18.8

PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
.All families	E119	9.6
..With related children of the householder under 18 years	E120	14.7
...With related children of the householder under 5 years only	E121	10.1
..Married couple families	E122	5.2
...With related children of the householder under 18 years	E123	7.4
....With related children of the householder under 5 years only	E124	3.5
..Families with female householder, no spouse present	E125	24.4
...With related children of the householder under 18 years	E126	35.3
....With related children of the householder under 5 years only	E127	30.2

.All people	E128	13.1
..Under 18 years	E129	19.4
...Related children of the householder under 18 years	E130	19.0
....Related children of the householder under 5 years	E131	19.7
....Related children of the householder 5 to 17 years	E132	18.7
..18 years and over	E133	10.7
...18 to 64 years	E134	11.3
...65 years and over	E135	8.1
..People in families	E136	11.1
..Unrelated individuals 15 years and over	E137	24.0

Place: Greenfield
.. updated monthly based on data reported by local governments. Compare monthly data for 2020 through December 2021; next update February 26, 2022 (January 2022 data). Table below saved as c:\dede\1\06053bp.csv.

Units in Structure	Jan-20	Feb-20	Mar-20	Apr-20	May-20	Jun-20	Jul-20	Aug-20	Sep-20	Oct-20	Nov-20	Dec-20
Single Family, Buildings	0	1	1	0	1	4	1	1	1	2	2	1
Single Family, Units	0	1	1	0	1	4	1	1	1	2	2	1
Single Family, Value	0	267	191	0	214	719	214	214	214	20	39	214
2 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
5+ Unit, Buildings	0	0	0	0	0	2	0	0	0	0	0	0
5+ Unit, Units	0	0	0	0	0	31	0	0	0	0	0	0
5+ Unit, Value	0	0	0	0	0	3,897	0	0	0	0	0	0

Units in Structure	Jan-21	Feb-21	Mar-21	Apr-21	May-21	Jun-21	Jul-21	Aug-21	Sep-21	Oct-21	Nov-21	Dec-21
Single Family, Buildings	1	4	9	6	6	6	4	2	5	6	4	0
Single Family, Units	1	4	9	6	6	6	4	2	5	6	4	0
Single Family, Value	184	752	1,552	1,459	1,281	1,391	801	294	1,178	1,490	801	0
2 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
2 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Buildings	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Units	0	0	0	0	0	0	0	0	0	0	0	0
3-4 Unit, Value	0	0	0	0	0	0	0	0	0	0	0	0
5+ Unit, Buildings	0	0	0	0	0	0	1	0	0	0	1	5
5+ Unit, Units	0	0	0	0	0	0	5	0	0	0	5	80
5+ Unit, Value	0	0	0	0	0	0	629	0	0	0	629	13,061

Units in Structure	2015	2016	2017	2018	2019	2020
Single Family, Buildings	315	471	534	571	391	415
Single Family, Units	315	471	534	571	391	415
Single Family, Value	84,089	125,454	175,162	187,469	121,321	99,242
2 Unit, Buildings	1	2	1	3	2	4
2 Unit, Units	2	4	2	6	4	8
2 Unit, Value	350	548	301	1,032	892	1,366
3-4 Unit, Buildings	0	6	4	4	4	2
3-4 Unit, Units	0	23	13	14	13	8
3-4 Unit, Value	0	5,269	3,606	3,220	4,081	1,189
5+ Unit, Buildings	22	9	16	8	11	22
5+ Unit, Units	270	129	227	141	72	322
5+ Unit, Value	36,484	17,473	35,715	33,553	18,626	35,912

HOUSING CHARACTERISTICS (DP4)	ItemCode	ACS 2019 5-year	Percent	2020 Estimate	2020 Percent	2025 Projection	2025 Percent
HOUSING OCCUPANCY
.Total housing units	H001	141,820
..Occupied housing units	H002	127,155	89.7
..Vacant housing units	H003	14,665	10.3

..Homeowner vacancy rate	H004	1.4
..Rental vacancy rate	H005	4.4

UNITS IN STRUCTURE
.Total housing units	H006	141,820
..1-unit, detached	H007	88,721	62.6
..1-unit, attached	H008	8,796	6.2
..2 units	H009	4,257	3.0
..3 or 4 units	H010	8,288	5.8
..5 to 9 units	H011	9,922	7.0
..10 to 19 units	H012	7,245	5.1
..20 or more units	H013	8,022	5.7
..Mobile home	H014	6,529	4.6
..Boat, RV, van, etc.	H015	40	0.0

YEAR STRUCTURE BUILT
.Total housing units	H016	141,820
..Built 2014 or later	H017	1,533	1.1
..Built 2010 to 2013	H018	1,831	1.3
..Built 2000 to 2009	H019	11,871	8.4
..Built 1990 to 1999	H020	17,988	12.7
..Built 1980 to 1989	H021	20,371	14.4
..Built 1970 to 1979	H022	26,403	18.6
..Built 1960 to 1969	H023	21,720	15.3
..Built 1950 to 1959	H024	19,986	14.1
..Built 1940 to 1949	H025	9,764	6.9
..Built 1939 or earlier	H026	10,353	7.3

ROOMS
.Total housing units	H027	141,820
..1 room	H028	7,759	5.5
..2 rooms	H029	3,961	2.8
..3 rooms	H030	14,376	10.1
..4 rooms	H031	29,199	20.6
..5 rooms	H032	34,063	24.0
..6 rooms	H033	25,197	17.8
..7 rooms	H034	11,812	8.3
..8 rooms	H035	7,619	5.4
..9 rooms or more	H036	7,834	5.5
..Median rooms	H037	5.0

BEDROOMS
.Total housing units	H038	141,820
..No bedroom	H039	8,115	5.7
..1 bedroom	H040	15,791	11.1
..2 bedrooms	H041	38,363	27.1
..3 bedrooms	H042	53,889	38.0
..4 bedrooms	H043	21,778	15.4
..5 or more bedrooms	H044	3,884	2.7

HOUSING TENURE
.Occupied housing units	H045	127,155
..Owner-occupied	H046	64,900	51.0
..Renter-occupied	H047	62,255	49.0

..Average household size of owner-occupied unit	H048	3.1
..Average household size of renter-occupied unit	H049	3.4

YEAR HOUSEHOLDER MOVED INTO UNIT
.Occupied housing units	H050	127,155
..Moved in 2017 or later	H051	11,226	8.8
..Moved in 2015 to 2016	H052	17,078	13.4
..Moved in 2010 to 2014	H053	36,368	28.6
..Moved in 2000 to 2009	H054	30,019	23.6
..Moved in 1990 to 1999	H055	15,839	12.5
..Moved in 1989 and earlier	H056	16,625	13.1

VEHICLES AVAILABLE
.Occupied housing units	H057	127,155
..No vehicles available	H058	5,861	4.6
..1 vehicle available	H059	36,030	28.3
..2 vehicles available	H060	47,570	37.4
..3 or more vehicles available	H061	37,694	29.6

HOUSE HEATING FUEL
.Occupied housing units	H062	127,155
..Utility gas	H063	63,769	50.2
..Bottled, tank, or LP gas	H064	5,606	4.4
..Electricity	H065	51,574	40.6
..Fuel oil, kerosene, etc.	H066	178	0.1
..Coal or coke	H067	0
..Wood	H068	2,401	1.9
..Solar energy	H069	792	0.6
..Other fuel	H070	399	0.3
..No fuel used	H071	2,436	1.9

SELECTED CHARACTERISTICS
.Occupied housing units	H072	127,155
..Lacking complete plumbing facilities	H073	490	0.4
..Lacking complete kitchen facilities	H074	449	0.4
..No telephone service available	H075	2,184	1.7

OCCUPANTS PER ROOM
.Occupied housing units	H076	127,155
..1.00 or less	H077	109,607	86.2
..1.01 to 1.50	H078	11,316	8.9
..1.51 or more	H079	6,232	4.9

VALUE
.Owner-occupied units	H080	64,900
..Less than $50,000	H081	2,086	3.2
..$50,000 to $99,999	H082	1,084	1.7
..$100,000 to $149,999	H083	844	1.3
..$150,000 to $199,999	H084	1,011	1.6
..$200,000 to $299,999	H085	5,719	8.8
..$300,000 to $499,999	H086	20,622	31.8
..$500,000 to $999,999	H087	24,408	37.6
..$1,000,000 or more	H088	9,126	14.1
..Median (dollars)	H089	516,600

MORTGAGE STATUS
.Owner-occupied units	H090	64,900
..Housing units with a mortgage	H091	43,490	67.0
..Housing units without a mortgage	H092	21,410	33.0

SELECTED MONTHLY OWNER COSTS (SMOC)
.Housing units with a mortgage	H093	43,490
..Less than $500	H094	174	0.4
..$500 to $999	H095	2,086	4.8
..$1,000 to $1,499	H096	5,959	13.7
..$1,500 to $1,999	H097	9,091	20.9
..$2,000 to $2,499	H098	8,374	19.3
..$2,500 to $2,999	H099	5,217	12.0
..$3,000 or more	H100	12,589	28.9
..Median (dollars)	H101	2,265

.Housing units without a mortgage	H102	21,410
..Less than $250	H103	1,822	8.5
..$250 to $399	H104	3,906	18.2
..$400 to $599	H105	5,147	24.0
..$600 to $799	H106	3,987	18.6
..$800 to $999	H107	2,414	11.3
..$1,000 or more	H108	4,134	19.3
..Median (dollars)	H109	593

SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
.Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)	H110	43,355
..Less than 20.0 percent	H111	13,630	31.4
..20.0 to 24.9 percent	H112	6,810	15.7
..25.0 to 29.9 percent	H113	5,336	12.3
..30.0 to 34.9 percent	H114	4,091	9.4
..35.0 percent or more	H115	13,488	31.1

..Not computed	H116	135

.Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)	H117	21,152
..Less than 10.0 percent	H118	10,182	48.1
..10.0 to 14.9 percent	H119	3,592	17.0
..15.0 to 19.9 percent	H120	2,147	10.2
..20.0 to 24.9 percent	H121	1,034	4.9
..25.0 to 29.9 percent	H122	1,075	5.1
..30.0 to 34.9 percent	H123	600	2.8
..35.0 percent or more	H124	2,522	11.9

..Not computed	H125	258

GROSS RENT
.Occupied units paying rent	H126	60,427
..Less than $500	H127	2,273	3.8
..$500 to $999	H128	9,146	15.1
..$1,000 to $1,499	H129	18,990	31.4
..$1,500 to $1,999	H130	16,242	26.9
..$2,000 to $2,499	H131	7,711	12.8
..$2,500 to $2,999	H132	2,945	4.9
..$3,000 or more	H133	3,120	5.2
..Median (dollars)	H134	1,495

..No rent paid	H135	1,828

GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
.Occupied units paying rent (excluding units where GRAPI cannot be computed)	H136	59,619
..Less than 15.0 percent	H137	5,360	9.0
..15.0 to 19.9 percent	H138	7,222	12.1
..20.0 to 24.9 percent	H139	6,913	11.6
..25.0 to 29.9 percent	H140	7,029	11.8
..30.0 to 34.9 percent	H141	6,586	11.0
..35.0 percent or more	H142	26,509	44.5

..Not computed	H143	2,636

Establishments, Employment, Wages QCEW -- 2021Q2
Type of owner .. 1:Federal, 2:State, 3:Local, 5:Private. Click NAICS code link for more information about this sector.
Wages showing zero: employment & wages items suppressed (disclosure). Detail file saved as c:\dede\1\qcewarea.dbf.

Industry by Sector Characteristics

Industry	NAICS	Owner	Estabs	Estabs%	Emp	Emp%	Wages	Wages%	AWW
Total, all owners	10	0	14,498	100.0	195,878	100.0	2,620,087,834	100.0	1,029
Total, Federal	10	1	64	0.4	5,573	2.8	134,651,452	5.1	1,859
Total, State	10	2	186	1.3	5,278	2.7	96,156,003	3.7	1,401
Total, Local	10	3	348	2.4	22,331	11.4	431,027,771	16.5	1,485
Total, Private	10	5	13,900	95.9	162,697	83.1	1,958,252,608	74.7	926
Agriculture, forestry, fishing and hunting	11	5	572	3.9	62,496	31.9	630,312,484	24.1	776
Crop production	111	5	327	2.3	20,665	10.6	202,765,501	7.7	755
Animal production	112	5	44	0.3	250	0.1	2,399,367	0.1	739
Fishing, hunting and trapping	114	5	9	0.1	50	0.0	1,459,761	0.1	2,231
Agriculture and forestry support activities	115	5	192	1.3	41,531	21.2	423,687,855	16.2	785
Mining	21	5	9	0.1	243	0.1	6,318,719	0.2	2,003
Oil and gas extraction	211	5	3	0.0	71	0.0	2,258,790	0.1	2,447
Mining, except oil and gas	212	5	4	0.0	0	0.0	0	0.0	0
Support activities for mining	213	5	2	0.0	0	0.0	0	0.0	0
Utilities	22	3	8	0.1	193	0.1	4,880,512	0.2	1,945
Utilities	22	5	21	0.1	534	0.3	18,319,267	0.7	2,639
Utilities	221	3	8	0.1	193	0.1	4,880,512	0.2	1,945
Utilities	221	5	21	0.1	534	0.3	18,319,267	0.7	2,639
Construction	23	3	2	0.0	0	0.0	0	0.0	0
Construction	23	5	1,104	7.6	6,470	3.3	106,419,102	4.1	1,265
Construction of buildings	236	5	416	2.9	2,124	1.1	36,074,465	1.4	1,307
Heavy and civil engineering construction	237	3	2	0.0	0	0.0	0	0.0	0
Heavy and civil engineering construction	237	5	29	0.2	575	0.3	12,934,174	0.5	1,731
Specialty trade contractors	238	5	659	4.5	3,772	1.9	57,410,463	2.2	1,171
Manufacturing	31-33	5	292	2.0	4,854	2.5	72,108,886	2.8	1,143
Food manufacturing	311	5	70	0.5	1,800	0.9	22,362,418	0.9	956
Beverage and tobacco product manufacturing	312	5	53	0.4	840	0.4	13,061,664	0.5	1,196
Textile product mills	314	5	7	0.0	16	0.0	168,269	0.0	809
Apparel manufacturing	315	5	2	0.0	0	0.0	0	0.0	0
Leather and allied product manufacturing	316	5	1	0.0	0	0.0	0	0.0	0
Wood product manufacturing	321	5	10	0.1	175	0.1	2,276,127	0.1	1,002
Paper manufacturing	322	5	8	0.1	467	0.2	8,989,787	0.3	1,482
Printing and related support activities	323	5	12	0.1	82	0.0	848,606	0.0	796
Petroleum and coal products manufacturing	324	5	2	0.0	0	0.0	0	0.0	0
Chemical manufacturing	325	5	15	0.1	139	0.1	2,372,360	0.1	1,313
Plastics and rubber products manufacturing	326	5	1	0.0	0	0.0	0	0.0	0
Nonmetallic mineral product manufacturing	327	5	9	0.1	203	0.1	3,982,523	0.2	1,512
Primary metal manufacturing	331	5	2	0.0	0	0.0	0	0.0	0
Fabricated metal product manufacturing	332	5	30	0.2	321	0.2	4,387,947	0.2	1,052
Machinery manufacturing	333	5	16	0.1	184	0.1	3,191,587	0.1	1,337
Computer and electronic product manufacturing	334	5	15	0.1	370	0.2	6,739,632	0.3	1,402
Electrical equipment and appliance manufacturing	335	5	2	0.0	0	0.0	0	0.0	0
Transportation equipment manufacturing	336	5	5	0.0	35	0.0	487,594	0.0	1,082
Furniture and related product manufacturing	337	5	16	0.1	65	0.0	988,417	0.0	1,176
Miscellaneous manufacturing	339	5	16	0.1	71	0.0	793,094	0.0	855
Wholesale trade	42	5	387	2.7	5,383	2.7	107,321,564	4.1	1,534
Merchant wholesalers, durable goods	423	5	150	1.0	1,548	0.8	26,681,925	1.0	1,326
Merchant wholesalers, nondurable goods	424	5	190	1.3	3,583	1.8	74,378,656	2.8	1,597
Electronic markets and agents and brokers	425	5	47	0.3	253	0.1	6,260,983	0.2	1,906
Retail trade	44-45	1	5	0.0	186	0.1	1,450,478	0.1	600
Retail trade	44-45	5	1,230	8.5	15,824	8.1	165,070,721	6.3	802
Motor vehicle and parts dealers	441	5	138	1.0	1,892	1.0	35,070,280	1.3	1,426
Furniture and home furnishings stores	442	5	57	0.4	382	0.2	3,605,289	0.1	727
Electronics and appliance stores	443	5	57	0.4	478	0.2	5,922,380	0.2	953
Building material and garden supply stores	444	5	96	0.7	1,468	0.7	14,552,840	0.6	763
Food and beverage stores	445	1	2	0.0	51	0.0	694,954	0.0	1,048
Food and beverage stores	445	5	245	1.7	4,224	2.2	40,089,802	1.5	730
Health and personal care stores	446	5	100	0.7	926	0.5	10,042,169	0.4	835
Gasoline stations	447	5	95	0.7	757	0.4	5,976,020	0.2	607
Clothing and clothing accessories stores	448	5	168	1.2	1,354	0.7	10,278,751	0.4	584
Sporting goods, hobby, book and music stores	451	1	1	0.0	2	0.0	16,566	0.0	765
Sporting goods, hobby, book and music stores	451	5	55	0.4	517	0.3	3,170,986	0.1	471
General merchandise stores	452	1	2	0.0	133	0.1	738,958	0.0	426
General merchandise stores	452	5	44	0.3	2,728	1.4	24,046,363	0.9	678
Miscellaneous store retailers	453	5	148	1.0	882	0.5	7,619,066	0.3	665
Nonstore retailers	454	5	27	0.2	217	0.1	4,696,775	0.2	1,665
Transportation and warehousing	48-49	1	23	0.2	398	0.2	7,797,763	0.3	1,507
Transportation and warehousing	48-49	3	9	0.1	400	0.2	6,529,611	0.2	1,256
Transportation and warehousing	48-49	5	344	2.4	3,114	1.6	41,146,251	1.6	1,016
Air transportation	481	5	6	0.0	36	0.0	545,492	0.0	1,155
Truck transportation	484	5	222	1.5	1,720	0.9	22,792,243	0.9	1,019
Transit and ground passenger transportation	485	3	5	0.0	319	0.2	5,091,922	0.2	1,229
Transit and ground passenger transportation	485	5	7	0.0	152	0.1	1,706,116	0.1	863
Scenic and sightseeing transportation	487	5	16	0.1	98	0.1	841,270	0.0	658
Support activities for transportation	488	3	2	0.0	0	0.0	0	0.0	0
Support activities for transportation	488	5	56	0.4	293	0.1	3,682,900	0.1	968
Postal service	491	1	23	0.2	398	0.2	7,797,763	0.3	1,507
Couriers and messengers	492	5	14	0.1	479	0.2	6,304,080	0.2	1,013
Warehousing and storage	493	3	2	0.0	0	0.0	0	0.0	0
Warehousing and storage	493	5	23	0.2	336	0.2	5,274,150	0.2	1,207
Information	51	3	3	0.0	0	0.0	0	0.0	0
Information	51	5	97	0.7	809	0.4	12,716,967	0.5	1,209
Publishing industries, except Internet	511	5	22	0.2	120	0.1	2,172,889	0.1	1,393
Motion picture and sound recording industries	512	5	21	0.1	147	0.1	1,039,351	0.0	544
Broadcasting, except Internet	515	5	20	0.1	319	0.2	4,525,948	0.2	1,093
Telecommunications	517	5	18	0.1	177	0.1	4,084,516	0.2	1,775
ISPs, search portals, and data processing	518	5	5	0.0	10	0.0	258,335	0.0	2,056
Other information services	519	3	3	0.0	0	0.0	0	0.0	0
Other information services	519	5	11	0.1	37	0.0	635,928	0.0	1,322
Finance and insurance	52	1	1	0.0	5	0.0	148,029	0.0	2,440
Finance and insurance	52	5	349	2.4	2,180	1.1	56,067,449	2.1	1,978
Credit intermediation and related activities	522	1	1	0.0	5	0.0	148,029	0.0	2,440
Credit intermediation and related activities	522	5	142	1.0	1,158	0.6	27,332,721	1.0	1,816
Securities, commodity contracts, investments	523	5	81	0.6	0	0.0	0	0.0	0
Insurance carriers and related activities	524	5	124	0.9	719	0.4	14,012,703	0.5	1,500
Funds, trusts, and other financial vehicles	525	5	2	0.0	0	0.0	0	0.0	0
Real estate and rental and leasing	53	3	2	0.0	0	0.0	0	0.0	0
Real estate and rental and leasing	53	5	462	3.2	1,862	1.0	24,269,412	0.9	1,003
Real estate	531	3	2	0.0	0	0.0	0	0.0	0
Real estate	531	5	408	2.8	1,386	0.7	17,996,945	0.7	999
Rental and leasing services	532	5	54	0.4	475	0.2	6,272,467	0.2	1,015
Professional and technical services	54	1	5	0.0	147	0.1	4,007,680	0.2	2,092
Professional and technical services	54	5	896	6.2	5,064	2.6	92,601,245	3.5	1,407
Professional and technical services	541	1	5	0.0	147	0.1	4,007,680	0.2	2,092
Professional and technical services	541	5	896	6.2	5,064	2.6	92,601,245	3.5	1,407
Management of companies and enterprises	55	5	45	0.3	1,641	0.8	29,092,633	1.1	1,364
Management of companies and enterprises	551	5	45	0.3	1,641	0.8	29,092,633	1.1	1,364
Administrative and waste services	56	1	0	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	2	1	0.0	0	0.0	0	0.0	0
Administrative and waste services	56	3	5	0.0	346	0.2	6,746,719	0.3	1,498
Administrative and waste services	56	5	532	3.7	8,036	4.1	74,007,742	2.8	708
Administrative and support services	561	1	0	0.0	0	0.0	0	0.0	0
Administrative and support services	561	2	1	0.0	0	0.0	0	0.0	0
Administrative and support services	561	3	3	0.0	0	0.0	0	0.0	0
Administrative and support services	561	5	502	3.5	7,599	3.9	66,968,511	2.6	678
Waste management and remediation services	562	3	2	0.0	0	0.0	0	0.0	0
Waste management and remediation services	562	5	30	0.2	436	0.2	7,039,231	0.3	1,241
Educational services	61	1	1	0.0	4	0.0	90,452	0.0	1,739
Educational services	61	2	73	0.5	1,198	0.6	22,242,376	0.8	1,428
Educational services	61	3	239	1.6	11,235	5.7	195,437,009	7.5	1,338
Educational services	61	5	107	0.7	1,986	1.0	26,679,114	1.0	1,033
Educational services	611	1	1	0.0	4	0.0	90,452	0.0	1,739
Educational services	611	2	73	0.5	1,198	0.6	22,242,376	0.8	1,428
Educational services	611	3	239	1.6	11,235	5.7	195,437,009	7.5	1,338
Educational services	611	5	107	0.7	1,986	1.0	26,679,114	1.0	1,033
Health care and social assistance	62	1	4	0.0	348	0.2	7,867,633	0.3	1,739
Health care and social assistance	62	2	8	0.1	0	0.0	0	0.0	0
Health care and social assistance	62	3	28	0.2	3,448	1.8	77,253,218	2.9	1,723
Health care and social assistance	62	5	5,373	37.1	17,419	8.9	265,559,690	10.1	1,173
Ambulatory health care services	621	1	2	0.0	273	0.1	7,058,588	0.3	1,991
Ambulatory health care services	621	5	720	5.0	6,003	3.1	124,721,217	4.8	1,598
Hospitals	622	2	3	0.0	0	0.0	0	0.0	0
Hospitals	622	3	2	0.0	0	0.0	0	0.0	0
Hospitals	622	5	4	0.0	0	0.0	0	0.0	0
Nursing and residential care facilities	623	3	1	0.0	0	0.0	0	0.0	0
Nursing and residential care facilities	623	5	79	0.5	0	0.0	0	0.0	0
Social assistance	624	1	2	0.0	75	0.0	809,045	0.0	826
Social assistance	624	2	5	0.0	0	0.0	0	0.0	0
Social assistance	624	3	25	0.2	186	0.1	2,524,687	0.1	1,042
Social assistance	624	5	4,570	31.5	6,283	3.2	36,714,086	1.4	449
Arts, entertainment, and recreation	71	1	2	0.0	39	0.0	483,943	0.0	963
Arts, entertainment, and recreation	71	3	5	0.0	167	0.1	1,562,934	0.1	718
Arts, entertainment, and recreation	71	5	134	0.9	2,072	1.1	22,531,898	0.9	836
Performing arts and spectator sports	711	3	2	0.0	0	0.0	0	0.0	0
Performing arts and spectator sports	711	5	48	0.3	193	0.1	2,505,376	0.1	1,000
Museums, historical sites, zoos, and parks	712	5	17	0.1	424	0.2	7,765,517	0.3	1,409
Amusements, gambling, and recreation	713	1	2	0.0	39	0.0	483,943	0.0	963
Amusements, gambling, and recreation	713	3	3	0.0	0	0.0	0	0.0	0
Amusements, gambling, and recreation	713	5	69	0.5	1,455	0.7	12,261,005	0.5	648
Accommodation and food services	72	1	1	0.0	8	0.0	79,029	0.0	793
Accommodation and food services	72	3	3	0.0	111	0.1	1,040,189	0.0	723
Accommodation and food services	72	5	1,054	7.3	18,074	9.2	157,299,596	6.0	669
Accommodation	721	5	217	1.5	5,586	2.9	65,095,563	2.5	896
Food services and drinking places	722	1	1	0.0	8	0.0	79,029	0.0	793
Food services and drinking places	722	3	3	0.0	111	0.1	1,040,189	0.0	723
Food services and drinking places	722	5	837	5.8	12,488	6.4	92,204,033	3.5	568
Other services, except public administration	81	3	5	0.0	40	0.0	723,121	0.0	1,402
Other services, except public administration	81	5	892	6.2	4,635	2.4	50,409,868	1.9	837
Repair and maintenance	811	3	1	0.0	0	0.0	0	0.0	0
Repair and maintenance	811	5	283	2.0	1,398	0.7	18,092,594	0.7	996
Personal and laundry services	812	3	4	0.0	0	0.0	0	0.0	0
Personal and laundry services	812	5	205	1.4	991	0.5	7,810,457	0.3	606
Membership associations and organizations	813	5	199	1.4	1,912	1.0	21,091,216	0.8	849
Private households	814	5	205	1.4	335	0.2	3,415,601	0.1	785
Public administration	92	1	22	0.2	4,439	2.3	112,726,445	4.3	1,954
Public administration	92	2	104	0.7	3,801	1.9	69,317,468	2.6	1,403
Public administration	92	3	39	0.3	6,063	3.1	131,894,414	5.0	1,673
Executive, legislative and general government	921	1	4	0.0	21	0.0	683,388	0.0	2,503
Executive, legislative and general government	921	3	18	0.1	2,828	1.4	57,139,216	2.2	1,554
Justice, public order, and safety activities	922	1	1	0.0	3	0.0	80,913	0.0	2,075
Justice, public order, and safety activities	922	2	83	0.6	3,174	1.6	61,253,607	2.3	1,484
Justice, public order, and safety activities	922	3	5	0.0	1,410	0.7	38,636,304	1.5	2,107
Administration of human resource programs	923	1	1	0.0	380	0.2	7,229,325	0.3	1,462
Administration of human resource programs	923	2	1	0.0	0	0.0	0	0.0	0
Administration of human resource programs	923	3	3	0.0	0	0.0	0	0.0	0
Administration of environmental programs	924	1	5	0.0	103	0.1	2,324,131	0.1	1,741
Administration of environmental programs	924	2	12	0.1	510	0.3	5,927,239	0.2	894
Administration of environmental programs	924	3	5	0.0	97	0.0	2,761,994	0.1	2,183
Community and housing program administration	925	3	3	0.0	0	0.0	0	0.0	0
Administration of economic programs	926	1	6	0.0	121	0.1	2,089,699	0.1	1,325
Administration of economic programs	926	2	8	0.1	0	0.0	0	0.0	0
Administration of economic programs	926	3	4	0.0	130	0.1	2,455,575	0.1	1,449
National security and international affairs	928	1	5	0.0	3,810	1.9	100,318,989	3.8	2,025
National security and international affairs	928	3	1	0.0	0	0.0	0	0.0	0

There are 94 tracts in this county; see their characteristics in the table below. The subject matter columns in this table are customizable and based on the subject matter items file used/selected. The file C:\dede\api_items_acs_base.dbf has been written to your computer and used to develop the following table. See about census tracts .. additional tract data resources

GEOID	TOTPOP	MALEPOP	FEMALEPOP	WHITE1	BLACK1	AIAN1	ASIAN1	NHOPI1	OTHERRACE1	TWOUPRACES	HISPANIC	POP65UP	POPHSHLDS	HOUSEHOLDS	FAMILIES	POP25UP	HSGRADM	HSGRADF	TOTHSGUNTS	OWNOCCUNTS	RNTOCCUNTS	VACUNITS	MEDHHINC	MEDFAMINC	MEDHSGVAL	MEDRENT
06053000101	2,283	1,119	1,164	1,189	42	80	50	0	864	58	1,476	279	2,270	527	440	1,450	225	183	527	349	178	67	75,486	79,459	393,600	1,232
06053000102	9,315	4,680	4,635	2,810	165	15	1,413	0	4,102	810	6,818	1,086	9,274	2,248	2,046	5,954	725	829	2,248	1,481	767	41	81,295	81,205	465,200	2,080
06053000103	4,695	2,133	2,562	1,707	67	20	593	0	2,082	226	3,402	579	4,695	1,348	1,078	3,043	239	302	1,348	406	942	64	57,333	62,375	459,400	1,497
06053000104	3,878	1,945	1,933	1,905	149	3	149	0	1,280	392	2,842	443	3,839	935	868	2,530	370	360	935	723	212	27	91,384	85,938	449,600	2,026
06053000200	7,489	3,799	3,690	2,474	16	3	401	0	4,396	199	6,318	500	7,489	1,759	1,431	4,568	602	576	1,759	1,015	744	33	71,607	65,052	345,200	1,761
06053000300	4,794	2,234	2,560	2,075	79	0	248	23	2,143	226	3,479	527	4,794	1,329	1,091	3,081	363	224	1,329	911	418	7	61,641	61,806	366,700	1,349
06053000400	7,745	3,907	3,838	2,740	212	47	291	0	4,415	40	6,107	701	7,539	2,408	1,672	4,495	772	749	2,408	663	1,745	33	52,956	60,484	333,900	1,339
06053000501	4,416	2,308	2,108	884	26	96	0	0	3,395	15	4,314	367	4,416	1,131	838	2,396	275	254	1,131	165	966	0	37,350	32,355	341,700	1,050
06053000502	4,182	2,022	2,160	1,218	30	13	79	0	2,730	112	3,624	508	4,142	975	800	2,208	267	280	975	528	447	39	46,473	49,875	303,800	1,510
06053000600	7,302	3,860	3,442	1,719	0	0	0	0	5,494	89	7,121	347	7,260	1,494	1,311	3,891	292	306	1,494	439	1,055	0	50,049	45,665	318,300	1,349
06053000701	5,869	2,961	2,908	1,821	0	0	0	0	4,048	0	5,753	218	5,869	1,218	1,103	2,838	285	357	1,218	330	888	0	44,737	39,614	313,800	1,224
06053000702	5,883	2,928	2,955	1,140	9	68	9	0	4,657	0	5,805	257	5,834	1,235	1,142	2,939	282	302	1,235	173	1,062	51	44,961	43,177	343,000	1,216
06053000800	5,802	3,295	2,507	2,040	53	77	0	0	3,632	0	5,738	292	5,768	1,201	1,008	3,317	259	257	1,201	479	722	32	52,188	46,351	279,000	1,364
06053000900	5,657	2,842	2,815	1,877	115	114	8	0	3,494	49	5,346	377	5,657	1,229	1,032	3,016	278	276	1,229	331	898	62	41,108	38,657	347,600	1,208
06053001200	3,003	1,457	1,546	2,095	14	38	87	0	646	123	1,182	577	2,838	1,069	587	2,107	148	147	1,069	690	379	153	85,179	103,598	555,900	1,235
06053001300	2,508	1,429	1,079	855	89	54	106	16	1,336	52	2,153	193	2,416	959	469	1,591	119	106	959	54	905	43	24,813	38,140	375,900	951
06053001400	2,679	1,356	1,323	1,502	26	11	86	0	899	155	1,428	321	2,625	996	682	1,795	184	250	996	479	517	49	80,750	81,833	474,000	1,427
06053001500	6,354	3,457	2,897	3,864	38	48	495	0	1,655	254	3,366	903	6,316	2,569	1,621	4,511	425	382	2,569	972	1,597	0	77,191	86,947	497,600	1,625
06053001600	2,700	1,232	1,468	1,774	18	0	153	0	599	156	1,203	450	2,689	907	640	1,692	195	224	907	582	325	75	84,013	102,500	494,100	1,806
06053001700	3,963	1,904	2,059	2,283	79	99	127	15	1,161	199	2,711	363	3,946	1,217	971	2,226	312	230	1,217	398	819	76	55,208	57,218	414,300	1,392
06053001801	4,185	2,305	1,880	1,628	266	0	456	24	1,581	230	2,694	514	4,126	1,149	932	2,586	272	313	1,149	684	465	0	76,378	75,756	418,800	1,585
06053001802	5,475	2,539	2,936	2,421	110	0	477	17	2,385	65	4,295	333	5,378	1,611	1,161	3,433	423	438	1,611	593	1,018	81	63,368	67,602	356,000	1,417
06053010101	5,024	2,398	2,626	1,673	64	253	42	37	2,852	103	4,452	245	4,921	1,007	895	2,706	362	375	1,007	293	714	63	53,979	51,860	313,600	1,389
06053010102	3,539	1,732	1,807	3,027	31	73	139	0	175	94	1,819	533	3,539	980	804	2,419	205	274	980	811	169	113	124,500	126,071	677,600	1,745
06053010202	4,943	2,795	2,148	3,475	34	43	104	10	987	290	2,777	588	4,943	1,302	1,095	3,471	338	306	1,302	951	351	108	96,957	87,452	612,900	1,656
06053010305	4,555	2,208	2,347	2,775	6	144	209	111	1,119	191	1,756	815	4,555	1,407	1,188	3,202	432	319	1,407	1,246	161	113	105,063	119,861	580,000	1,972
06053010306	1,592	770	822	1,219	25	29	34	0	222	63	682	439	1,592	549	373	1,133	121	141	549	393	156	133	66,063	76,902	617,900	858
06053010400	6,521	3,219	3,302	2,298	1	0	167	0	4,002	53	5,808	622	6,502	1,453	1,270	3,726	378	351	1,453	494	959	148	57,656	59,674	471,400	1,230
06053010501	6,392	3,228	3,164	3,124	5	0	210	86	2,245	722	3,017	1,243	6,364	2,123	1,633	4,570	646	538	2,123	1,823	300	131	83,341	89,102	580,500	1,587
06053010504	5,246	2,522	2,724	1,584	15	0	494	0	2,799	354	4,102	500	5,246	1,443	1,077	3,148	514	454	1,443	612	831	60	65,897	62,176	292,800	1,726
06053010505	6,016	2,774	3,242	2,265	84	42	190	4	3,229	202	4,771	436	6,008	1,518	1,241	3,186	366	471	1,518	871	647	69	59,766	60,801	173,900	1,504
06053010506	5,247	2,779	2,468	1,456	249	0	303	13	3,051	175	4,234	427	5,242	1,269	927	2,663	327	258	1,269	244	1,025	138	55,028	58,194	70,800	1,649
06053010603	7,448	3,549	3,899	3,231	144	82	701	0	2,758	532	5,205	700	7,420	2,004	1,833	4,544	502	450	2,004	1,390	614	149	94,889	94,528	531,800	1,672
06053010604	5,643	2,923	2,720	1,793	74	22	534	0	3,045	175	4,523	568	5,589	1,317	1,080	3,433	464	362	1,317	920	397	0	80,589	82,411	450,200	1,056
06053010605	4,799	2,355	2,444	1,744	74	34	165	0	2,724	58	4,504	235	4,783	923	882	2,690	409	360	923	573	350	26	81,321	81,944	410,100	1,168
06053010606	6,479	3,513	2,966	2,444	4	29	364	0	3,500	138	5,302	704	6,449	1,596	1,332	3,766	299	507	1,596	926	670	122	77,045	88,358	476,800	1,188
06053010607	4,146	2,219	1,927	816	21	10	127	0	3,162	10	3,932	190	4,138	796	706	2,078	213	168	796	254	542	37	51,053	46,364	319,800	1,314
06053010608	3,227	1,812	1,415	1,017	78	10	215	0	1,882	25	2,727	94	2,935	551	497	1,799	108	170	551	133	418	35	62,853	60,313	419,800	1,495
06053010701	6,464	3,101	3,363	5,453	1	0	455	56	295	204	1,203	1,285	6,456	2,401	1,965	4,580	257	350	2,401	2,026	375	62	148,125	151,240	769,400	2,867
06053010702	3,266	1,577	1,689	3,076	0	0	82	0	58	50	472	1,095	3,261	1,366	998	2,627	157	243	1,366	1,224	142	223	126,250	146,944	907,100	3,103
06053010804	5,469	2,764	2,705	2,182	2	9	0	33	3,243	0	5,058	517	5,460	1,390	1,180	3,135	271	403	1,390	448	942	68	54,205	57,386	361,000	1,133
06053010900	8,821	8,789	32	4,323	2,447	121	308	92	1,117	413	3,791	165	38	12	5	8,369	2,844	6	12	12	0	0	-6	-6	-6	-6
06053011000	5,844	2,680	3,164	5,237	46	17	41	0	348	155	898	1,796	5,819	2,392	1,471	4,483	271	253	2,392	1,689	703	677	96,346	128,083	960,100	1,757
06053011101	5,924	3,039	2,885	2,150	17	83	16	0	3,523	135	5,247	554	5,924	1,286	1,075	3,170	361	389	1,286	645	641	125	50,052	50,898	326,200	1,017
06053011102	12,388	6,484	5,904	6,089	0	65	125	0	5,507	602	10,641	984	12,356	2,783	2,345	6,719	742	701	2,783	1,787	996	266	73,873	73,668	372,500	1,289
06053011202	7,263	3,823	3,440	4,093	130	0	30	0	2,827	183	6,219	565	7,214	1,576	1,427	4,328	405	356	1,576	828	748	52	63,827	53,301	305,400	1,516
06053011203	6,986	3,352	3,634	2,764	37	11	104	0	4,018	52	6,597	468	6,986	1,460	1,265	3,756	602	541	1,460	648	812	186	54,881	56,080	323,900	1,464
06053011204	3,749	1,815	1,934	1,398	23	0	5	0	2,308	15	3,510	143	3,749	873	722	1,925	249	151	873	392	481	57	59,438	59,943	273,600	1,184
06053011302	5,933	3,222	2,711	2,549	0	17	0	0	3,124	243	5,169	311	5,933	1,422	1,175	3,220	264	280	1,422	377	1,045	208	41,545	39,946	226,900	1,120
06053011303	4,175	2,124	2,051	2,670	1	0	10	0	1,382	112	2,351	599	4,169	1,233	999	2,576	297	341	1,233	996	237	175	73,464	75,170	342,300	1,151
06053011304	7,595	3,977	3,618	3,152	143	78	231	0	3,901	90	6,811	480	7,537	1,765	1,552	4,349	533	409	1,765	957	808	126	54,811	53,966	257,500	1,130
06053011400	4,462	2,612	1,850	3,497	169	9	155	0	385	247	1,273	666	3,289	1,164	808	2,717	480	362	1,164	707	457	294	55,764	60,714	361,400	1,057
06053011502	1,987	1,051	936	1,823	30	0	14	16	94	10	724	342	1,843	716	376	1,444	207	119	716	281	435	235	67,083	79,167	-6	775
06053011602	5,991	2,663	3,328	5,192	3	35	265	178	6	312	335	2,660	5,924	2,516	1,663	4,789	137	385	2,516	1,747	769	249	99,337	127,656	1,184,600	1,476
06053011604	2,087	903	1,184	1,833	21	25	49	17	112	30	252	1,004	2,062	1,003	530	1,717	91	73	1,003	794	209	280	81,488	122,222	903,000	2,116
06053011700	3,852	1,941	1,911	3,469	8	0	310	11	24	30	397	1,304	3,834	1,594	1,046	2,783	101	138	1,594	1,336	258	703	122,500	178,611	1,153,800	2,895
06053011801	2,125	992	1,133	1,802	1	0	131	0	25	166	81	902	2,124	1,035	567	1,816	49	153	1,035	508	527	771	104,401	137,917	1,481,500	2,289
06053011802	1,705	814	891	1,640	1	0	64	0	0	0	224	755	1,683	892	489	1,538	78	98	892	591	301	1,134	89,000	152,788	1,597,500	1,625
06053011900	3,991	1,956	2,035	3,265	58	0	522	0	49	97	336	1,609	3,722	1,655	1,181	3,042	81	270	1,655	1,416	239	1,011	141,402	152,386	1,379,600	3,147
06053012000	4,074	1,893	2,181	3,417	22	0	313	0	138	184	603	851	3,967	1,470	1,077	2,891	185	383	1,470	676	794	70	89,643	95,417	792,700	1,594
06053012100	2,113	1,001	1,112	1,787	17	0	139	0	39	131	281	662	2,073	913	523	1,541	77	93	913	539	374	197	100,708	119,063	831,500	1,864
06053012200	2,755	1,134	1,621	2,450	49	7	33	0	5	211	263	716	2,732	1,254	663	2,144	174	211	1,254	578	676	240	88,370	106,543	752,800	1,803
06053012302	2,072	874	1,198	1,866	22	19	80	0	15	70	150	531	2,072	961	537	1,550	23	51	961	360	601	175	81,042	104,375	908,900	1,957
06053012401	1,667	665	1,002	1,463	9	6	85	0	18	86	86	605	1,592	949	372	1,490	31	73	949	393	556	305	73,750	117,000	963,500	1,691
06053012402	2,841	1,455	1,386	2,397	24	0	202	0	47	171	139	896	2,841	1,292	761	2,152	100	116	1,292	628	664	521	83,409	123,750	989,700	1,720
06053012502	4,894	2,480	2,414	4,190	228	0	284	0	22	170	799	1,032	4,851	2,326	1,033	3,990	322	188	2,326	749	1,577	546	79,792	103,992	765,700	1,701
06053012600	2,366	1,590	776	1,829	106	23	175	0	4	229	356	16	158	60	32	652	27	4	60	0	60	8	78,500	86,071	-6	2,094
06053012700	3,472	1,691	1,781	2,554	369	19	164	0	120	246	365	626	3,448	1,779	572	2,766	136	116	1,779	423	1,356	145	76,750	106,200	837,900	1,576
06053012800	4,881	2,155	2,726	4,242	31	0	320	0	140	148	347	1,600	4,619	2,283	1,212	4,136	210	275	2,283	1,728	555	367	119,775	165,857	827,600	2,603
06053013000	3,379	1,674	1,705	2,507	85	16	544	24	90	113	603	699	3,379	1,813	667	2,704	130	151	1,813	386	1,427	273	75,339	93,799	636,100	1,777
06053013100	2,200	1,191	1,009	1,578	128	0	293	0	11	190	218	0	2,200	632	511	1,102	0	39	632	0	632	15	90,903	97,639	-6	3,315
06053013200	4,176	2,003	2,173	3,484	51	33	413	0	36	159	300	1,340	4,094	1,645	1,270	3,410	157	155	1,645	1,354	291	206	135,742	150,395	1,109,900	2,542
06053013300	6,199	2,937	3,262	4,544	152	167	455	23	416	442	1,955	846	6,178	2,556	1,381	4,373	284	250	2,556	785	1,771	423	64,504	99,375	596,900	1,747
06053013400	1,525	742	783	1,250	58	4	104	5	13	91	190	354	1,525	650	408	1,223	85	120	650	463	187	95	95,000	113,421	629,400	2,338
06053013500	5,029	2,351	2,678	3,052	906	28	502	156	118	267	1,569	943	5,029	1,787	1,159	3,657	486	559	1,787	1,034	753	88	70,651	81,856	522,500	1,465
06053013600	4,679	2,529	2,150	3,309	143	50	339	9	547	282	2,546	624	4,604	1,448	1,023	3,261	482	410	1,448	592	856	103	50,694	53,021	465,000	1,391
06053013700	4,325	2,348	1,977	2,605	158	0	591	61	752	158	2,729	409	4,307	1,400	851	2,616	471	338	1,400	423	977	122	39,924	52,260	365,300	1,456
06053013800	6,200	2,988	3,212	3,217	492	0	838	403	849	401	2,940	726	6,186	1,740	1,399	4,269	629	599	1,740	1,090	650	37	73,232	79,491	466,700	1,819
06053013900	2,362	1,179	1,183	1,553	80	21	185	124	144	255	837	392	2,362	930	573	1,831	185	203	930	547	383	36	60,500	90,893	541,100	1,510
06053014000	2,427	1,268	1,159	1,661	100	21	232	10	243	160	1,152	303	2,368	833	475	1,654	215	191	833	320	513	130	52,218	65,069	431,900	1,481
06053014102	3,399	1,690	1,709	1,467	394	10	505	77	420	526	1,108	460	3,262	1,070	742	2,043	200	150	1,070	120	950	33	72,821	77,872	710,300	1,604
06053014104	1,892	676	1,216	1,323	123	0	125	0	111	210	821	0	0	0	0	52	0	0	0	0	0	0	-6	-6	-6	-6
06053014105	3,461	1,652	1,809	2,354	94	35	279	0	227	472	972	214	3,461	1,317	788	2,117	179	98	1,317	282	1,035	234	74,034	84,188	620,900	1,376
06053014107	8,240	4,441	3,799	4,993	546	17	653	137	1,143	751	2,289	406	8,240	2,657	1,830	4,816	264	379	2,657	360	2,297	363	76,654	85,109	812,800	2,198
06053014201	5,414	2,685	2,729	2,479	239	2	957	54	906	777	1,729	875	5,406	1,822	1,316	3,870	440	518	1,822	985	837	84	69,107	72,500	499,800	1,571
06053014202	4,411	1,887	2,524	2,350	236	0	943	34	491	357	1,142	746	4,397	1,748	977	2,805	288	348	1,748	679	1,069	56	51,170	60,250	401,400	1,201
06053014301	3,561	1,548	2,013	1,901	348	40	734	18	288	232	982	697	3,522	1,482	820	2,502	160	170	1,482	730	752	120	76,310	105,500	544,000	1,396
06053014302	4,471	2,238	2,233	2,608	203	33	502	158	429	538	1,560	504	4,457	1,658	988	2,618	200	383	1,658	812	846	49	73,032	84,833	530,300	1,378
06053014500	4,474	2,099	2,375	2,705	77	94	353	0	961	284	2,454	819	4,308	1,500	1,093	3,093	252	471	1,500	847	653	122	66,667	78,021	548,700	1,248
06053014601	4,980	2,435	2,545	3,046	0	268	67	0	1,471	128	3,743	459	4,950	1,245	1,095	2,975	339	338	1,245	790	455	59	74,121	73,072	548,000	1,624
06053014700	7,873	3,862	4,011	4,314	198	0	469	83	2,564	245	4,851	815	7,873	2,131	1,733	4,406	484	420	2,131	1,528	603	114	85,855	94,028	418,200	1,299
06053014800	6,527	3,453	3,074	2,878	29	53	305	0	3,171	91	5,840	396	6,527	1,518	1,366	3,675	353	289	1,518	911	607	49	71,844	74,189	359,700	1,252
06053980000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6
06053990000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	-6	-6	-6	-6