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Local Area Labor Force Characteristics & Patterns
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Visual analysis with ProximityOne tools
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visually analyze clients/markets
site analysis using 1 mile radius


$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks

Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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This section provides a guide to accessing, integrating and using selected local area labor force characteristics for wide-ranging analysis and decision-making applications. A "local area" as used here refers mainly to city/place, county and sub-county geography (census tract and ZIP Code area).

This section is focused on:
1) updates to the Bureau of Labor Statistics Local Area Unemployment
    Statistics program and how this affects labor force data availability and use and
    (access new data from this program; see Local Area Employment Situation)
2) an interactive table providing access to ZIP Code area labor force
    characteristics based on the American Community Survey 2013 5-year data.

Statistical programs that provide local area labor force/employment data include:

  • American Community Survey (block group, ZIP Code area, city/place, census tract up)
  • ProximityOne current estimates and projections (census tract up)
  • Census Bureau ZIP Code/County Business Patterns
  • BLS Local Area Unemployment Statistics (city/place and county up) -- below
  • BLS Quarterly Census of Employment and Wages (county up)
  • BEA Regional Economic Information System (county up)
  • Decennial census (Census 2000 and earlier)

Advantages/disadvantages, strengths/weaknesses and more about accessing, integrating and using these data will be included in the mid-March update.

BLS LAUS Program. Effective with the March 2015 release of the Bureau of Labor Statistics Local Area Unemployment Statistics (LAUS) estimates for metropolitan areas and smaller geography, new data and methodology are available for analyzing local area employment patterns. These new data have several far-reaching implications for local area labor force analysis.

The fact that the new data (access data here) are for the 2013 current vintage metropolitan areas CBSAs is very important. It makes the LAUS data consistent with CBSA geography used in other Federal statistical programs including the the American Community Survey (ACS).

The new LAUS estimation methodology makes the local area employment and unemployment estimates more consistent with ACS data which are used in the LAUS estimation. Use of the annually updated ACS data in the LAUS estimates development is an important update to Census 2000-related data previously used in the estimation process. Other methodological changes should lead to more accurate and useful local area employment estimates for sub-county areas not otherwise available.

ACS 2013 Employment Situation by ZIP Code Area: GIS Tools & Visual Analysis
The following graphic shows the percent unemployed by ZIP Code area in the Houston, Texas/Harris County (bold black boundary) area. The ACS 2013 5-year estimates of the unemployment rate, included in the interactive table below, are shown as a thematic map. It is easy to see which areas/ZIP codes are experiencing higher/lower unemployment rates.

Click for larger view; larger view shows mini-profile of ZIP Code 77077.
See more ZIP Code demographic-economic data resources.
View created using CV XE GIS.

Use the interactive table in this section to view, rank, compare, query selected labor force characteristics by ZIP code area based on the ACS 2013 5 year estimates.

ACS 2013 Labor Force Characteristics by ZIP Code Area -- Interactive Table
  Click column header to sort; click again to sort other direction.
  Data based on ACS 2013 5 year estimates. See usage notes below table. See related Ranking Tables Main Page

Table Notes and Usage
Use mouseover on column header cell to view description of column.

  • Click ShowAll button between specific queries.
  • Click on a column header to sort ascending/descending on that column.
  • Use State dropdown box below table to select/filter on a state.
  • Use Find ZIP Code to view characteristics of one ZIP Code.
      - Click ShowAll button first.
      - Key in 5-digit ZIP Code and click Find ZIP Code button.
      - Search will filter for any name with that exact, case sensitive, spelling.
      - ZIP Code 77007 is used as an example (also used for data display shown below and in map view).

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Decision-Making Information Web session. There is no fee for these Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. There is no fee.

Additional Information
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

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