The Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) provides data on the geographic employment patterns by employment location and residential location. Variables tracked include age of worker, earning, industry, sex, race, ethnicity, educational attainment. Forty-nine states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands are active participants, although there are currently no public-use statistics for Puerto Rico or the U.S. Virgin Islands. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC) at census block geographic detail. Data is available for most states for the years 2002 onwards.

The table Workplace Area Characteristics is part of the dataset LEHD Origin-Destination Employment Statistics (LODES) -- New York, available at https://columbia.redivis.com/datasets/rw0s-5nc9rxp6k. It contains 51973750 rows across 53 variables.

LODES Data provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. LODES also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.

Longitudinal Employer-Household Dynamics (LEHD), Residence Area Characteristics (RAC)

2015-2019 Residence Area Characteristics (RAC) for Virginia. LODES7 is based on 2010 Census Blocks.

LEHD makes available several data products that may be used to research and characterize workforce dynamics for specific groups. Learn more about this data at https://lehd.ces.census.gov/

Processing steps: Files downloaded from https://lehd.ces.census.gov/data/lodes/LODES7/va/rac/ and merged into a single file for all job types, and all segments of the workforce by year. See technical document for more details on original file structure https://lehd.ces.census.gov/data/lodes/LODES7/LODESTechDoc7.5.pdf.

The U.S. Census's LEHD Origin-Destination Employment Statistics (LODES) Dataset was used to map job and worker density in throughout the Twin Cities Metropolitan Area, Minnesota. The LODES data is part of the U.S. Census's Longitudinal Employer-Household Dynamics (LEHD) program which records the number of jobs by workplace location and the number of workers by household location at the census block level. LEHD data is derived from data provided by the Minnesota Department of Employment and Economic Development's (MNDEED) Quarterly Census of Employment and Wages (QCEW) and the U.S. Social Security Administration.

The U.S. Cenus Bureau protects the confidentiality of the original data by using a system of multiplicative noise infusion, whereby all released data are "fuzzed." Although the positional accuracy of the data is not as good as the original MNDEED QCEW data, a more robust dataset is produced that allows allows users to not only map a general representation of overall job density (LEHD Job Density), but also map jobs by income level (see LEHD Low-Wage Job Density) and workers' residence (see LEHD Worker Household Density or LEHD Low-Wage Worker Household Density).

The census block level LEHD data was converted to a smoothly tapered surface of calculated census block values. The resulting data surface provides a good representation of job density in the Twin Cities Metropolitan Area, Minnesota.

The table Origin-Destination is part of the dataset LEHD Origin-Destination Employment Statistics (LODES) -- New York, available at https://columbia.redivis.com/datasets/rw0s-5nc9rxp6k. It contains 460120831 rows across 13 variables.

The table Residence Area Characteristics is part of the dataset LEHD Origin-Destination Employment Statistics (LODES) -- New York, available at https://columbia.redivis.com/datasets/rw0s-5nc9rxp6k. It contains 140311326 rows across 43 variables.

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

Longitudinal Employer-Household Dynamics (LEHD): Workplace Area Characteristics (WAC)

2015-2019 Workplace Area Characteristics (WAC) for Virginia. LODES7 is based on 2010 Census Blocks.

LEHD makes available several data products that may be used to research and characterize workforce dynamics for specific groups. Learn more about this data at https://lehd.ces.census.gov/

Processing steps: Files downloaded from https://lehd.ces.census.gov/data/lodes/LODES7/va/wac/ and merged into a single file for all job types, and all segments of the workforce by year. See technical document for more details on original file structure https://lehd.ces.census.gov/data/lodes/LODES7/LODESTechDoc7.5.pdf.

LODES dataset

Point Shapefile for Louisville's The LEHD Origin-Destination Employment Statistics (LODES) dataset for the year 2011. Data on numbers of workers by age and job type by Census Block.

The LEHD Origin Destination Employment Statistics (LODES) dataset is updated annually by the Census Bureau in partnership with the IRS.The LODES dataset provides information on the location and characteristics of every job in the United States that is covered by unemployment insurance.The data shown in for the year 2019, the most current year at the time this map was produced.Layers KeyNumber: Number of PeoplePercent Selected Area: Share of each area (city/township)Percent Map Unit: Share within each map unit (city, small district, tract, block group) as declared in layer nameColumn descriptions: [CODE3]_h: Home Location of those who work in [Map Unit][CODE3]_w: Work Location of those who live in [Map Unit]City/Township Codes are as follows:SHORTDESCCODE3AMERICAN FORKAFKALTAALAALPINEALPBLUFFDALEBDLBRIGHAM CITYBGMBOUNTIFULBNTBRIGHTONBRTCEDAR FORTCDFCENTERVILLECENCHARLESTONCHACEDAR HILLSCHLCLEARFIELDCLFCLINTONCLICOPPERTON METRO TOWNSHIPCMTCOALVILLECOACOTTONWOOD HEIGHTSCWHDANIELDANDRAPER CITYDRAEAGLE MOUNTAINEAGELK RIDGEELKEMIGRATION CANYON METRO TOWNSHIPEMTFARMINGTONFARFRANCISFCSFAIRFIELDFFDFARR WEST CITYFRRFRUIT HEIGHTSFTHGENOLAGLAGOSHENGOSGRANTSVILLEGRLHARRISVILLEHARHIDEOUT (SUMMIT)HDTHIDEOUT (WASATCH)HDTHEBER CITYHEBHERRIMAN TOWNHERHIGHLANDHGHHENEFERHNFCITY OF HOLLADAYHOLHOOPERHOOHUNTSVILLEHVLINDEPENDENCEINDINTERLAKEN TOWNINTKAYSVILLEKAYKAMASKMSKEARNS METRO TOWNSHIPKMTLAYTONLAYLEHILEHLINDONLINMAPLETONMAPMIDVALEMIDMILLCREEKMLCMAGNA METRO TOWNSHIPMMTMORGANMRGMARRIOTT-SLATERVILLE CITYMSLMURRAYMURMIDWAYMWYNORTH OGDEN CITYNOGCITY OF NORTH SALT LAKENSLOGDEN CITYOGDOAKLEYOKLOREMORMPAYSONPAYPLEASANT GROVEPGRPLAIN CITYPLNPARK CITYPRKPERRY CITYPRYPROVOPVOPLEASANT VIEWPVWROY CITYROYRIVERDALERVDRIVERTONRVTSANDY CITYSANSANTAQUIN CITY (UTAH CO)SAQSARATOGA SPRINGSSARSPANISH FORKSFKSOUTH JORDANSJCSALT LAKE CITYSLCSALEMSLMSOUTH OGDENSOGSPRINGVILLESPVSOUTH SALT LAKE CITYSSLSUNSETSUNSOUTH WEBERSWESYRACUSESYRTAYLORSVILLE CITYTAYTOOELETOOUINTAHUINVINEYARDVINWASHINGTON TERRACEWATWALLSBURGWBGWOODLAND HILLSWDLWEST BOUNTIFULWEBWHITE CITY METRO TOWNSHIPWHTWEST HAVENWHVWILLARD CITYWILWEST JORDAN CITYWJCWEST POINTWPTWEST VALLEY CITYWVCWOODS CROSS CITYWXC

The LEHD Origin Destination Employment Statistics (LODES) dataset is updated annually by the Census Bureau in partnership with the IRS.The LODES dataset provides information on the location and characteristics of every job in the United States that is covered by unemployment insurance.The data shown in for the year 2019, the most current year at the time this map was produced.Layers KeyNumber: Number of PeoplePercent Selected Area: Share of each area (city/township)Percent Map Unit: Share within each map unit (city, small district, tract, block group) as declared in layer nameColumn descriptions: [CODE3]_h: Home Location of those who work in [Map Unit][CODE3]_w: Work Location of those who live in [Map Unit]City/Township Codes are as follows:SHORTDESCCODE3AMERICAN FORKAFKALTAALAALPINEALPBLUFFDALEBDLBRIGHAM CITYBGMBOUNTIFULBNTBRIGHTONBRTCEDAR FORTCDFCENTERVILLECENCHARLESTONCHACEDAR HILLSCHLCLEARFIELDCLFCLINTONCLICOPPERTON METRO TOWNSHIPCMTCOALVILLECOACOTTONWOOD HEIGHTSCWHDANIELDANDRAPER CITYDRAEAGLE MOUNTAINEAGELK RIDGEELKEMIGRATION CANYON METRO TOWNSHIPEMTFARMINGTONFARFRANCISFCSFAIRFIELDFFDFARR WEST CITYFRRFRUIT HEIGHTSFTHGENOLAGLAGOSHENGOSGRANTSVILLEGRLHARRISVILLEHARHIDEOUT (SUMMIT)HDTHIDEOUT (WASATCH)HDTHEBER CITYHEBHERRIMAN TOWNHERHIGHLANDHGHHENEFERHNFCITY OF HOLLADAYHOLHOOPERHOOHUNTSVILLEHVLINDEPENDENCEINDINTERLAKEN TOWNINTKAYSVILLEKAYKAMASKMSKEARNS METRO TOWNSHIPKMTLAYTONLAYLEHILEHLINDONLINMAPLETONMAPMIDVALEMIDMILLCREEKMLCMAGNA METRO TOWNSHIPMMTMORGANMRGMARRIOTT-SLATERVILLE CITYMSLMURRAYMURMIDWAYMWYNORTH OGDEN CITYNOGCITY OF NORTH SALT LAKENSLOGDEN CITYOGDOAKLEYOKLOREMORMPAYSONPAYPLEASANT GROVEPGRPLAIN CITYPLNPARK CITYPRKPERRY CITYPRYPROVOPVOPLEASANT VIEWPVWROY CITYROYRIVERDALERVDRIVERTONRVTSANDY CITYSANSANTAQUIN CITY (UTAH CO)SAQSARATOGA SPRINGSSARSPANISH FORKSFKSOUTH JORDANSJCSALT LAKE CITYSLCSALEMSLMSOUTH OGDENSOGSPRINGVILLESPVSOUTH SALT LAKE CITYSSLSUNSETSUNSOUTH WEBERSWESYRACUSESYRTAYLORSVILLE CITYTAYTOOELETOOUINTAHUINVINEYARDVINWASHINGTON TERRACEWATWALLSBURGWBGWOODLAND HILLSWDLWEST BOUNTIFULWEBWHITE CITY METRO TOWNSHIPWHTWEST HAVENWHVWILLARD CITYWILWEST JORDAN CITYWJCWEST POINTWPTWEST VALLEY CITYWVCWOODS CROSS CITYWXC

Longitudinal Employer-Household Dynamics (LEHD), Origin-Destination Employment Statistics (LODES)

2015-2019 Origin-Destination (OD) for Virginia. LODES7 is based on 2010 Census Blocks.

LEHD makes available several data products that may be used to research and characterize workforce dynamics for specific groups. Learn more about this data at https://lehd.ces.census.gov/

Processing steps: Files downloaded from https://lehd.ces.census.gov/data/lodes/LODES7/va/od/ and merged into a single file for all job types, and all state parts by year. See technical document for more details on original file structure https://lehd.ces.census.gov/data/lodes/LODES7/LODESTechDoc7.5.pdf.

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED October 2019

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

The LEHD Origin Destination Employment Statistics (LODES) dataset is updated annually by the Census Bureau in partnership with the IRS.The LODES dataset provides information on the location and characteristics of every job in the United States that is covered by unemployment insurance.The data shown in for the year 2019, the most current year at the time this map was produced.Layers KeyNumber: Number of PeoplePercent Selected Area: Share of each area (city/township)Percent Map Unit: Share within each map unit (city, small district, tract, block group) as declared in layer nameColumn descriptions: [CODE3]_h: Home Location of those who work in [Map Unit][CODE3]_w: Work Location of those who live in [Map Unit]City/Township Codes are as follows:SHORTDESCCODE3AMERICAN FORKAFKALTAALAALPINEALPBLUFFDALEBDLBRIGHAM CITYBGMBOUNTIFULBNTBRIGHTONBRTCEDAR FORTCDFCENTERVILLECENCHARLESTONCHACEDAR HILLSCHLCLEARFIELDCLFCLINTONCLICOPPERTON METRO TOWNSHIPCMTCOALVILLECOACOTTONWOOD HEIGHTSCWHDANIELDANDRAPER CITYDRAEAGLE MOUNTAINEAGELK RIDGEELKEMIGRATION CANYON METRO TOWNSHIPEMTFARMINGTONFARFRANCISFCSFAIRFIELDFFDFARR WEST CITYFRRFRUIT HEIGHTSFTHGENOLAGLAGOSHENGOSGRANTSVILLEGRLHARRISVILLEHARHIDEOUT (SUMMIT)HDTHIDEOUT (WASATCH)HDTHEBER CITYHEBHERRIMAN TOWNHERHIGHLANDHGHHENEFERHNFCITY OF HOLLADAYHOLHOOPERHOOHUNTSVILLEHVLINDEPENDENCEINDINTERLAKEN TOWNINTKAYSVILLEKAYKAMASKMSKEARNS METRO TOWNSHIPKMTLAYTONLAYLEHILEHLINDONLINMAPLETONMAPMIDVALEMIDMILLCREEKMLCMAGNA METRO TOWNSHIPMMTMORGANMRGMARRIOTT-SLATERVILLE CITYMSLMURRAYMURMIDWAYMWYNORTH OGDEN CITYNOGCITY OF NORTH SALT LAKENSLOGDEN CITYOGDOAKLEYOKLOREMORMPAYSONPAYPLEASANT GROVEPGRPLAIN CITYPLNPARK CITYPRKPERRY CITYPRYPROVOPVOPLEASANT VIEWPVWROY CITYROYRIVERDALERVDRIVERTONRVTSANDY CITYSANSANTAQUIN CITY (UTAH CO)SAQSARATOGA SPRINGSSARSPANISH FORKSFKSOUTH JORDANSJCSALT LAKE CITYSLCSALEMSLMSOUTH OGDENSOGSPRINGVILLESPVSOUTH SALT LAKE CITYSSLSUNSETSUNSOUTH WEBERSWESYRACUSESYRTAYLORSVILLE CITYTAYTOOELETOOUINTAHUINVINEYARDVINWASHINGTON TERRACEWATWALLSBURGWBGWOODLAND HILLSWDLWEST BOUNTIFULWEBWHITE CITY METRO TOWNSHIPWHTWEST HAVENWHVWILLARD CITYWILWEST JORDAN CITYWJCWEST POINTWPTWEST VALLEY CITYWVCWOODS CROSS CITYWXC

Source: Layers within the feature service have been generated from publicly available data sources including: Florida Dept. of Revenue (parcel data), OpenStreetMap (walking/biking networks), Census data (ACS, LODES jobs, household/population, and commuting statistics), Miami-Dade County (parks, bike facilities, urban development boundary, etc.), Miami-Dade Department of Transportation and Public Works (public transit ridership), the Southeast Florida Regional Planning Model (SERPM), and the National Land Cover Dataset (NLCD). The development of summarized indicators for reporting and visualizing data for analysis of Transit Oriented Communities in SMART Plan station areas and corridors is described in the TOC Tool Technical Guide.

Purpose: Data for each of the years 2015 to 2019 were processed into a Snapshot set of data, and the trends and differences over that period for the snapshot metrics have been generated as tables or summarized as differences at the Summary Area, Census Block, MAZ or TAZ geometry. Tables are generally used by dashboard widgets.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

Dataset

This dataset was created by Colby Brown

Contents

For more data on Austin demographics please visit austintexas.gov/demographics. This measure answers the question of percentage of people working in Austin that come from outside Austin. The LODES program collects administrative records from unemployment insurance reporting systems. Residence location is derived from annual federal administrative data. LODES are produced and released at the census block level, with all tabulations consisting of paired, origin-destination flows that can also be aggregated to the residence and workplace margins.

This data release contains the analytical results and evaluated source data files of geospatial analyses for identifying areas in Alaska that may be prospective for different types of lode gold deposits, including orogenic, reduced-intrusion-related, epithermal, and gold-bearing porphyry. The spatial analysis is based on queries of statewide source datasets of aeromagnetic surveys, Alaska Geochemical Database (AGDB3), Alaska Resource Data File (ARDF), and Alaska Geologic Map (SIM3340) within areas defined by 12-digit HUCs (subwatersheds) from the National Watershed Boundary dataset. The packages of files available for download are: 1. LodeGold_Results_gdb.zip - The analytical results in geodatabase polygon feature classes which contain the scores for each source dataset layer query, the accumulative score, and a designation for high, medium, or low potential and high, medium, or low certainty for a deposit type within the HUC. The data is described by FGDC metadata. An mxd file, and cartographic feature classes are provided for display of the results in ArcMap. An included README file describes the complete contents of the zip file. 2. LodeGold_Results_shape.zip - Copies of the results from the geodatabase are also provided in shapefile and CSV formats. The included README file describes the complete contents of the zip file. 3. LodeGold_SourceData_gdb.zip - The source datasets in geodatabase and geotiff format. Data layers include aeromagnetic surveys, AGDB3, ARDF, lithology from SIM3340, and HUC subwatersheds. The data is described by FGDC metadata. An mxd file and cartographic feature classes are provided for display of the source data in ArcMap. Also included are the python scripts used to perform the analyses. Users may modify the scripts to design their own analyses. The included README files describe the complete contents of the zip file and explain the usage of the scripts. 4. LodeGold_SourceData_shape.zip - Copies of the geodatabase source dataset derivatives from ARDF and lithology from SIM3340 created for this analysis are also provided in shapefile and CSV formats. The included README file describes the complete contents of the zip file.