OnTheMap is an online mapping and reporting application located at onthemap.ces.census.gov that shows where people work and where workers live.OnTheMap was developed through a unique partnership between the U.S. Census Bureau and its Local Employment Dynamics (LED) partner states. OnTheMap provides an easy-to-use interface for creating, viewing, printing, and downloading workforce related maps, profiles, and underlying data. An interactive map viewer displays workplace and residential distributions by user defined geographies at census block level detail. This flexibility allows for a variety of use cases, including emergency planning, transportation planning, site location, and economic development. The application also provides companion reports on worker and firm characteristics, employment and residential area comparisons, worker flows, and commuting patterns. In OnTheMap, statistics can be generated for specific segments of the workforce, including ages, earnings, or industry groupings.Consult Getting Started with OnTheMap for help.

*If content does not automatically open in a new tab, click the Open button to the right.OnTheMap for Emergency Management is a public data tool from the U.S. Census Bureau that provides an intuitive web-based interface for accessing U.S. population and workforce statistics, in real time, for areas being affected by natural disasters. The tool allows users to retrieve reports containing detailed workforce, population, and housing characteristics for hurricanes, floods, wildfires, winter storms, and federal disaster declaration areas.To provide users this information for rapidly changing hazard event areas, OnTheMap for Emergency Management automatically incorporates real time data updates from the National Weather Service’s (NWS) National Hurricane Center, Department of Interior (DOI), Department of Agriculture (DOA), and the Federal Emergency Management Agency (FEMA).Highlights: Detailed social, economic, and housing data from the American Community Survey (ACS) Generate reports for specific communities for regional, local, and comparative analysesBar charts and an intuitive dashboard interfaceEvent search tool for easy access to current and historical emergency eventsLinkable maps and reports for easy sharing of maps and reports For more information and documentation, please see this page on the Census Bureau website.

Source: U.S. Census Bureau; Longitudinal Employer-Household Dynamics; "Job Counts by Counties Where Workers are Employed - Primary Jobs" 2022; OnTheMap; http://onthemap.ces.census.gov; generated by CCRPC staff; (6 February 2025).

This raster analysis is based on 2015 LEHD data by location of the worker's home for all jobs. This raster layer is a point density analysis of the density of homes of workers 55 or older. The cell size is set at 200 feet; the radius is set at ¾ mile.

Learn more about the LEHD data at the Census' website.

U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

Abstract

Published by the US Census Department, the LODES dataset aggregates data about where people live and work in the United States. This data is for New York State.

Documentation

The Longitudinal Employer-Household Dynamics (LEHD) program is part of the Center for Economic Studies at the U.S. Census Bureau. The LEHD program produces new, cost effective, public-use information combining federal, state and Census Bureau data on employers and employees under the Local Employment Dynamics (LED) Partnership. State and local authorities increasingly need detailed local information about their economies to make informed decisions. The LED Partnership works to fill critical data gaps and provide indicators needed by state and local authorities.

LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks.

Data are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2018.

2015 LEHD county attributes for the Workforce Profile.Learn more about the LEHD data at the Census' website.

U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

description: The OnTheMap application provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. OnTheMap also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.; abstract: The OnTheMap application provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. OnTheMap also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.

This raster analysis is based on 2015 LEHD data by workplace for all jobs. This raster layer is a point density analysis of the workplace density of workers aged 30 to 54. The cell size is set at 200 feet; the radius is set at ¾ mile.

Learn more about the LEHD data at the Census' website.

U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/.

Check out the data dictionary at http://celebratingcities.github.io/docs.html

LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/.

Check out the data dictionary at http://celebratingcities.github.io/docs.html

This archive contains supplementary materials for the published manuscript.

We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.

This map compares the number of people living above the poverty line to the number of people living below. Why do this?There are people living below the poverty line everywhere. Nearly every area of the country has a balance of people living above the poverty line and people living below it. There is not an "ideal" balance, so this map makes good use of the national ratio of 6 persons living above the poverty line for every 1 person living below it. Please consider that there is constant movement of people above and below the poverty threshold, as they gain better employment or lose a job; as they encounter a new family situation, natural disaster, health issue, major accident or other crisis. There are areas that suffer chronic poverty year after year. This map does not indicate how long people in the area have been below the poverty line. "The poverty rate is one of several socioeconomic indicators used by policy makers to evaluate economic conditions. It measures the percentage of people whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs." Source: U.S. Census BureauIn the U.S. overall, there are 6 people living above the poverty line for every 1 household living below. Green areas on the map have a higher than normal number of people living above compared to below poverty. Orange areas on the map have a higher than normal number of people living below the poverty line compared to those above in that same area.The map shows the ratio for counties and census tracts, using these layers, created directly from the U.S. Census Bureau's American Community Survey (ACS)For comparison, an older layer using 2013 ACS data is also provided.The layers are updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey. Current Vintage: 2014-2018ACS Table(s): B17020Data downloaded from: Census Bureau's API for American Community Survey National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

Baseline Data: 2014 U.S. Census Bureau's OnTheMap; jobs by census block assigned to TAZ geographies in GIS.2040 Forecast: Maine Center for Business and Economic Research using the REMI model.Disaggregating to Smaller GeographiesMunicipal Geography: The 2040 county employment total is apportioned to each municipality based on that municipality’s percent share of county jobs in 2014. For instance, if Freeport had 4% of all county jobs in 2014, it will have 4% of all county jobs in 2040 as well.TAZ Geography: The municipal-level estimates from above are apportioned to the TAZ level using a similar method. Each TAZ’s share of the municipal total in which it resides is calculated for the 2014 data. This ratio is then carried forward as the basis for 2040. NAICS categories are then grouped into Manufacturing, Residual, Retail, and Services using the same ratio as 2014.

This is a collection of the US Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) for the Cleveland metro area.The data reflects characteristics of workplaces by census block (2020 vintage) shown as centroid points. It is based on unemployment insurance data and Quarterly Census of Employment and Wages (QCEW). This is a useful longitudinal source for understanding economic activity and relationships between where people work and live.This dataset was exported from the Census' powerful tool called OnTheMap and merged into one dataset with a year field. Note: This includes multiple years of data for each block, so specific years must be filtered for mapping. By default, the layer loads with the latest year of data.Data GlossaryClick here, then click on "Fields" to view documentation.Consult U.S. Census LEHD technical document for additional technical information. This extract is Primary Jobs.Update FrequencyAnnually with new data releases.ContactsDro Sohrabian, Urban Analytics and Innovation, dsohrabian@clevelandohio.gov

This archive contains supplementary materials for the published manuscript.

We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.

This raster analysis is based on 2015 LEHD data by location of the worker's home for all jobs. This raster layer is a point density analysis of the density of homes of workers with yearly earnings of $15,000 or less. The cell size is set at 200 feet; the radius is set at 1 mile.

Learn more about the LEHD data at the Census' website.

U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/.

Check out the data dictionary at http://celebratingcities.github.io/docs.html

This app highlights the predominant generations that make up the population of the United States, using country to block group geographies that vary according to zoom level. The map, which was featured in Esri's Living Atlas gallery, forms the basis of an analysis of travel agency locations to determine the best one for launching luxury travel services to baby boomers. Use the Bookmarks tool to see the predominant generations in the census tract areas in and around Los Angeles, Chicago, and Washington, D.C. Click individual census tracts on the map to see pop-up information, including the population of each generation in a given census tract.This app was created for instructional purposes only and should not be used as an authoritative resource.

Opportunity Zones are defined as "census tracts that are defined by the Internal Revenue Service (IRS) as “economically-distressed community where new investments, under certain conditions, may be eligible for preferential tax treatment. They were added to the tax code by the Tax Cuts and Jobs Act on December 22, 2017" (CA Opportunity Zones). Areas highlighted on the map represent census tracts that were designated as Qualified Opportunity Zones. Designations are based on the boundaries of the tract at the time of the designation in 2018.The data associated with the map came from the U.S. Department of the Treasury's Opportunity Zones Resources webpage.

LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/.

Check out the data dictionary at http://celebratingcities.github.io/docs.html