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Your Community by the Numbers Accessing the most current and relevant Census data 1 Ana Maria Garcia, JD Data Dissemination Specialist U.S Census Bureau.

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Presentation on theme: "Your Community by the Numbers Accessing the most current and relevant Census data 1 Ana Maria Garcia, JD Data Dissemination Specialist U.S Census Bureau."— Presentation transcript:

1 Your Community by the Numbers Accessing the most current and relevant Census data 1 Ana Maria Garcia, JD Data Dissemination Specialist U.S Census Bureau New York Regional Office

2 How we Measure America 2 Several different surveys combine for a fuller picture of America Census Current Population Survey (CPS) American Community Survey (ACS) Economic Census

3 3 CPS Current Population Survey Collected Since:1940 Sample:Monthly survey of about 60,000 households GeographiesNational level only

4 4 EC Economic Census Collected :Every 5 years Sample:About 5 million businesses – large, medium and small GeographiesNational level only

5 5 Census Collected Since: 1790 Actual Count: Counts people living in the United States, mandated by US Constitution GeographiesNational to Block level data

6 6 ACS American Community Survey Collected Since:2005 for all geographic areas Sample:Currently 3.4 million households annually GeographiesAnnual data available for geos of 65,000 or more; 3 years data available annually for geos of 20,000 or more; 5 years data available annually for all geos

7 census.gov 7

8 American FactFinder 8

9 9

10 10

11 Programs

12 Detailed Tables (DT) Tables from summary files that provide the most detailed data on all topics and geographic areas from the decennial censuses and the ACS 'P' are population tables 'H' are housing tables 'PCT' are population tables that cover geographies to the census tract level 'HCT' are housing tables that cover geographies to the census tract level ' PL' are tables derived from the Redistricting Data (P.L ) Summary File. Geographic Comparison Tables (GCT ) These tables provide basic measures for decennial census 100 % and sample population and housing subjects. Users can compare data across geographic areas in the same table (e.g., all counties in a state). Demographic profile (DP) A profile provides various demographic, social, economic, and housing characteristics for the U.S., regions, divisions, states, counties, county subdivisions, places, metropolitan areas. Quick Tables (QT) Predefined tables with frequently requested information for a single geographic area. The information includes numerical data and derived measures (e.g., % distributions, medians). Products – Tables Overview * * AFF Glossary

13 Nation Zip Code Tabulation Area Metropolitan Areas States Congressional Districts Places Counties County Subdivision Census Tracts Block Groups Blocks Cities and Towns

14 Census 2010: Summary File 1(SF1 = 100% Data) Household Relationship Sex Age Hispanic or Latino Origin Race Tenure (own/rent) Vacancy characteristics Household Relationship Sex Age Hispanic or Latino Origin Race Tenure (own/rent) Vacancy characteristics

15 Census 2010: Summary File 2 (SF2 = 100% Data) Household Relationship Sex Age Hispanic or Latino Origin Race Tenure (own/rent) Vacancy characteristics Summary File 2 Cross references detailed race and ethnic groups with all data subjects in SF1

16 Summary File 3 (SF3 = Sample Data) Detailed Social, Economic, Demographic and Housing Characteristics Housing Value of home or monthly rent paid, Units in structure, Year structure built, Number of rooms and number of bedrooms, Year moved into residence, Plumbing and kitchen facilities, Telephone service, Vehicles available, Heating fuel, Farm residence, Utilities, Mortgage, Taxes, Insurance and fuel costs Population Marital Status, Place of birth, Citizenship, Entry year, School Enrollment/Ed. Attainment, Ancestry, Migration, Language spoken, Veteran status, Disability, Grandparents as caregivers, Labor force status, Place of work, Journey to work, Occupation, Industry, Class of worker, Work status in 1999, Income in 1999, Poverty status Now collected by the ACS

17 Summary File 4 (SF4 = Sample Data) Summary File 4 Cross references detailed race, ethnic, and ancestry groups with all data subjects in SF3 Now collected by ACS and available through Selected Population Profiles

18 ACS – Data Releases 1 year estimates Sample Data ! 3 year estimates 2008 – – – – year estimates 2006 – – 2009

19 2010 Census - Data Set Releases * State population counts for total population 18+ by race and Hispanic or Latino categories State housing unit counts by occupancy status (occupied units, vacant units) Redistricting PL Age, sex, race, Hispanic Origin, relationship to householder, households by type (family & nonfamily), housing occupancy and vacancy rates, and housing tenure (owner-occupied and renter- occupied housing units.) Demographic Profiles DP SF Population counts for 63 race categories and Hispanic or Latino. Population counts for many detailed race and Hispanic or Latino categories, and American Indian and Alaska Native tribes. Selected population and housing characteristics Summary File 1 SF1 100% Data Population and housing characteristics iterated for over 330 race and Hispanic or Latino categories, and AIAN tribes Summary File 2 SF2 100% Data SF1 100% Data 2010 SF2 100% Data 2010 Redistricting Data SF(PL94-171) 2010 Demographic Profile SF (2) SF1 100% Data (600) 2000 SF2 100% Data (185) 2000 SF3 Sample Data (1,102) 2000 SF4 Sample Data (564) 2000 Redistricting Data SF(PL94-171) 100% Data !

20 2010 Census vs. ACS 100 % Data How many people live in the U.S.? Count - People, Housing units Point in time April 1, Census Sample Data How do people live in the U.S.? Characteristics Income, Poverty, Education Period in Time 1yr, 3yr, 5yr American Community Survey 2000 Long Form SF3 & SF4

21 CT Educational Attainment 20.8 inc incinc 27.6

22 CT Hispanic Household by Type Source: American Community Survey 5yr Estimate ( )

23 CT/US Median Household Income for Hispanics Connecticut United States Source: American Community Survey 1yr Estimate (2010)

24 FactFinder Know the Data You Want 2. Know Your Geography


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