Name: ECONOMY
SKU: 5883
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D. ECONOMY

DATAFIELDS

D1. Occupational Pay Matrix

Index_code	Index_name
Region	Four U.S. regions – West, South, Midwest and Northeast — as broadly defined by the U.S. Census
ST	Abbreviation of U.S. states (includes DC)
Z_code	ZIP Code Tabulation Areas (ZCTAs) — Census Bureau
Z_name	ZIP code location name. Note: common location names only; Neighborhood modifications/adjustments are NOT included in the dataset.
MEAR$_TOT_EmpPop16+	Median earnings for employed civilian age 16 and over
MEAR$_M_EmpPop16+	Median earnings for male employed civilian age 16 and over – All occupations
MEAR$_M_EmpPop16+_WCL_Type1	Median earnings for male employed civilian age 16 and over – Management occupations
MEAR$_M_EmpPop16+_WCL_Type2	Median earnings for male employed civilian age 16 and over – Business and finance occupations
MEAR$_M_EmpPop16+_WCL_Type3	Median earnings for male employed civilian age 16 and over – Computer and mathematical occupations
MEAR$_M_EmpPop16+_WCL_Type4	Median earnings for male employed civilian age 16 and over – Architecture and engineering occupations
MEAR$_M_EmpPop16+_WCL_Type5	Median earnings for male employed civilian age 16 and over – Life, physical, and social science occupations
MEAR$_M_EmpPop16+_WCL_Type6	Median earnings for male employed civilian age 16 and over – Community and social service occupations
MEAR$_M_EmpPop16+_WCL_Type7	Median earnings for male employed civilian age 16 and over – Legal occupations
MEAR$_M_EmpPop16+_WCL_Type8	Median earnings for male employed civilian age 16 and over – Educational instruction, and library occupations
MEAR$_M_EmpPop16+_WCL_Type9	Median earnings for male employed civilian age 16 and over – Arts, design, entertainment, sports, and media occupations
MEAR$_M_EmpPop16+_WCL_Type10	Median earnings for male employed civilian age 16 and over – Healthcare practitioners occupation
MEAR$_M_EmpPop16+_WCL_Type11	Median earnings for male employed civilian age 16 and over – Healthcare technical occupation
MEAR$_M_EmpPop16+_PCL_Type1	Median earnings for male employed civilian age 16 and over – Healthcare support occupations
MEAR$_M_EmpPop16+_PCL_Type2A	Median earnings for male employed civilian age 16 and over – Protective service occupations: Firefighting and prevention, and other protective service workers including supervisors
MEAR$_M_EmpPop16+_PCL_Type2B	Median earnings for male employed civilian age 16 and over – Protective service occupations: Law enforcement workers including supervisors
MEAR$_M_EmpPop16+_PCL_Type3	Median earnings for male employed civilian age 16 and over – Food preparation and serving related occupations
MEAR$_M_EmpPop16+_PCL_Type4	Median earnings for male employed civilian age 16 and over – Building and grounds cleaning and maintenance occupations
MEAR$_M_EmpPop16+_PCL_Type5	Median earnings for male employed civilian age 16 and over – Personal care and service occupations
MEAR$_M_EmpPop16+_GCL_Type1	Median earnings for male employed civilian age 16 and over – Sales and related occupations
MEAR$_M_EmpPop16+_GCL_Type2	Median earnings for male employed civilian age 16 and over – Office and administrative support occupations
MEAR$_M_EmpPop16+_BCL1_Type1	Median earnings for male employed civilian age 16 and over – Farming, fishing, and forestry occupations
MEAR$_M_EmpPop16+_BCL1_Type2	Median earnings for male employed civilian age 16 and over – Construction and extraction occupations
MEAR$_M_EmpPop16+_BCL1_Type3	Median earnings for male employed civilian age 16 and over – Installation, maintenance, and repair occupations
MEAR$_M_EmpPop16+_BCL2_Type1	Median earnings for male employed civilian age 16 and over – Production occupations
MEAR$_M_EmpPop16+_BCL2_Type2	Median earnings for male employed civilian age 16 and over – Transportation occupations
MEAR$_M_EmpPop16+_BCL2_Type3	Median earnings for male employed civilian age 16 and over – Material moving occupations
MAXMEAR$_M_EmpPop16+	Highest median income by occupation, for a male employed civilian age 16 and over; Median income above $250,000 shown as 250000+; Insufficient data shown as “-“.
MAXMEAR$_M_EmpPop16+_Occp	Occupation with the highest median earnings, for a male employed civilian age 16 and over; *More than one occupation met the criteria
MEAR$_F_EmpPop16+	Median earnings for female employed civilian age 16 and over – All occupations
MEAR$_F_EmpPop16+_WCL_Type1	Median earnings for female employed civilian age 16 and over – Management occupations
MEAR$_F_EmpPop16+_WCL_Type2	Median earnings for female employed civilian age 16 and over – Business and finance occupations
MEAR$_F_EmpPop16+_WCL_Type3	Median earnings for female employed civilian age 16 and over – Computer and mathematical occupations
MEAR$_F_EmpPop16+_WCL_Type4	Median earnings for female employed civilian age 16 and over – Architecture and engineering occupations
MEAR$_F_EmpPop16+_WCL_Type5	Median earnings for female employed civilian age 16 and over – Life, physical, and social science occupations
MEAR$_F_EmpPop16+_WCL_Type6	Median earnings for female employed civilian age 16 and over – Community and social service occupations
MEAR$_F_EmpPop16+_WCL_Type7	Median earnings for female employed civilian age 16 and over – Legal occupations
MEAR$_F_EmpPop16+_WCL_Type8	Median earnings for female employed civilian age 16 and over – Educational instruction, and library occupations
MEAR$_F_EmpPop16+_WCL_Type9	Median earnings for female employed civilian age 16 and over – Arts, design, entertainment, sports, and media occupations
MEAR$_F_EmpPop16+_WCL_Type10	Median earnings for female employed civilian age 16 and over – Healthcare practitioners occupation
MEAR$_F_EmpPop16+_WCL_Type11	Median earnings for female employed civilian age 16 and over – Healthcare technical occupation
MEAR$_F_EmpPop16+_PCL_Type1	Median earnings for female employed civilian age 16 and over – Healthcare support occupations
MEAR$_F_EmpPop16+_PCL_Type2A	Median earnings for female employed civilian age 16 and over – Protective service occupations: Firefighting and prevention, and other protective service workers including supervisors
MEAR$_F_EmpPop16+_PCL_Type2B	Median earnings for female employed civilian age 16 and over – Protective service occupations: Law enforcement workers including supervisors
MEAR$_F_EmpPop16+_PCL_Type3	Median earnings for female employed civilian age 16 and over – Food preparation and serving related occupations
MEAR$_F_EmpPop16+_PCL_Type4	Median earnings for female employed civilian age 16 and over – Building and grounds cleaning and maintenance occupations
MEAR$_F_EmpPop16+_PCL_Type5	Median earnings for female employed civilian age 16 and over – Personal care and service occupations
MEAR$_F_EmpPop16+_GCL_Type1	Median earnings for female employed civilian age 16 and over – Sales and related occupations
MEAR$_F_EmpPop16+_GCL_Type2	Median earnings for female employed civilian age 16 and over – Office and administrative support occupations
MEAR$_F_EmpPop16+_BCL1_Type1	Median earnings for female employed civilian age 16 and over – Farming, fishing, and forestry occupations
MEAR$_F_EmpPop16+_BCL1_Type2	Median earnings for female employed civilian age 16 and over – Construction and extraction occupations
MEAR$_F_EmpPop16+_BCL1_Type3	Median earnings for female employed civilian age 16 and over – Installation, maintenance, and repair occupations
MEAR$_F_EmpPop16+_BCL2_Type1	Median earnings for female employed civilian age 16 and over – Production occupations
MEAR$_F_EmpPop16+_BCL2_Type2	Median earnings for female employed civilian age 16 and over – Transportation occupations
MEAR$_F_EmpPop16+_BCL2_Type3	Median earnings for female employed civilian age 16 and over – Material moving occupations
MAXMEAR$_F_EmpPop16+	Highest median income by occupation, for a female employed civilian age 16 and over; Median income above $250,000 shown as 250000+; Insufficient data shown as “-“.
MAXMEAR$_F_EmpPop16+_Occp	Occupation with the highest median earnings, for a female employed civilian age 16 and over; *More than one occupation met the criteria

D2. Retail Money Matrix

Index_code	Index_name
Region	Four U.S. regions – West, South, Midwest and Northeast — as broadly defined by the U.S. Census Bureau
State	Abbreviation of 50 U.S. states and the District of Columbia
Z_Code	ZIP Code Tabulation Areas (ZCTAs) — Census Bureau
Z_Name	ZIP code location name. Note: common location names only; Neighborhood modifications/adjustments are NOT included in the dataset.
C_Name	Name for county and county equivalents that the ZIP code resides in or most closely associated with
Tot_Pop	Total population
Tot_Pop_ZIP%ST	Total population in the ZIP code as % that of state total
Agg_hhld$_ALL	Aggregate total household income
Agg_hhld$_ZIP%ST	Aggregate total household income in the ZIP code as % that of state total
Agg_RET$_ALL	Aggregate real estate taxes paid by ZIP code
RET$_ZIP%ST	Estimated total real estate taxes paid by ZIP code as % that of state estimated total
Tot_hhlds	Total households
Tot_Hhlds_ZIP%ST	Total households, within the ZIP code, as a percentage of state total household counts
Tot_Retails_ZIP	Total retail establishments by ZIP code
Retails_per_SQMI	Retail concentration – establishments for each square mile of land area of each ZIP code
Retails_per_1K_Pop	Retail concentration – establishments for every one thousand of each ZIP code’s resident population
Retails_per_100M_Agg_hhld$	Retail concentration – establishments for every $100 million of each ZIP code’s aggregate household income
Retails_per_1M_Agg_RET$	Retail concentration – establishments for each one million of each ZIP code’s aggregate real estate taxes paid
Tot_Retails_COUNTY	Total retail establishments by county
Retail_ZIP%COUNTY	Total retail establishments by ZIP code as % that of county total
%Agg_hhld$_NHW	% aggregate household income by Non-Hispanic White households
%Agg_hhld$_HSP	% aggregate household income by Hispanic households
%Agg_hhld$_ASN	% aggregate household income by Asian households
%Agg_hhld$_BLK	% aggregate household income by Black or African-American households
%Agg_hhld$_AIAN	% aggregate household income by American Indian and Alaska Native households
%Agg_hhld$_NHPI	% aggregate household income by Native Hawaiian and Pacific Islander households
%Agg_hhld$_TWM	% aggregate household income by Two or more races households
%ALL_Hhlds_$200K+	% households with more than $200,000 household income
MHhld$_ALL	Median household income – all households; Note: median income above $250,000 shown as 250000+
MHhld$_NHW	Median household income – Non-Hispanic White households; Note: median income above $250,000 shown as 250000+
MHhld$_HSP	Median household income – Hispanic households; Note: median income above $250,000 shown as 250000+
MHhld$_ASN	Median household income – Asian households; Note: median income above $250,000 shown as 250000+
MHhld$_BLK	Median household income – Black or African-American households; Note: median income above $250,000 shown as 250000+
MHhld$_AIAN	Median household income – American Indian and Alaska Native households; Note: median income above $250,000 shown as 250000+
MHhld$_NHPI	Median household income – Native Hawaiian and Pacific Islander households; Note: median income above $250,000 shown as 250000+
MHhld$_TWM	Median household income – Two or more races households; Note: median income above $250,000 shown as 250000+
%Agg_hhld$_Type1	% aggregate household incomes sourced from wages or salary income; Note: households can have multiple types of income
%Agg_hhld$_Type2	% aggregate household incomes sourced from self-employment income; Note: households can have multiple types of income
%Agg_hhld$_Type3	% aggregate household incomes sourced from interest, dividends, or net rental income; Note: households can have multiple types of income
%Agg_hhld$_Type4	% aggregate household incomes sourced from Social Security income; Note: households can have multiple types of income
%Agg_hhld$_Type5	% aggregate household incomes sourced from Supplemental Security Income (SSI); Note: households can have multiple types of income
%Agg_hhld$_Type6	% aggregate household incomes sourced from public assistance income or Food Stamps/SNAP; Note: households can have multiple types of income
%Agg_hhld$_Type7	% aggregate household incomes sourced from retirement income; Note: households can have multiple types of income
%Agg_hhld$_Type8	% aggregate household incomes sourced from other types of income such as unemployment benefits, alimony and child support, and Veterans’ payments; Note: households can have multiple types of income
%Hhlds_Income_Type1	% households with wages or salary income; Note: households can have multiple types of income
%Hhlds_Income_Type2	% households with self-employment income; Note: households can have multiple types of income
%Hhlds_Income_Type3	% households with interest, dividends, or net rental income; Note: households can have multiple types of income
%Hhlds_Income_Type4	% households with Social Security income; Note: households can have multiple types of income
%Hhlds_Income_Type5	% households with Supplemental Security Income (SSI); Note: households can have multiple types of income
%Hhlds_Income_Type6	% households with public assistance income or Food Stamps/SNAP; Note: households can have multiple types of income
%Hhlds_Income_Type7	% households with retirement income; Note: households can have multiple types of income
%Hhlds_Income_Type8	% households with other types of income such as unemployment benefits, alimony and child support, and Veterans’ payments; Note: households can have multiple types of income

D3. Tech Workers – Job and Pay

Index_code	Index_name
Region	Four U.S. regions – West, South, Midwest and Northeast — as broadly defined by the U.S. Census
ST	Abbreviation of U.S. states (includes DC)
Z_code	ZIP Code Tabulation Areas (ZCTAs) — Census Bureau
Z_name	ZIP code location name. Note: common location names only; Neighborhood modifications/adjustments are NOT included in the dataset.
TOT_EmpPop16+_STEM	Total civilian residents age 16 and over, full- or part-time combined, employed in science, technology, engineering and mathematics (STEM/TECH) jobs
1YChg%_STEM_Jobs	2020-2021 One-year change in headcounts: civilian residents age 16 and over in (STEM/TECH) jobs, regardless of full- or part-time employment status
3YGTrend_Pre-Pandemic (2016-2019)	Pre-Pandemic 2016-2019 three-year trend in local STEM/TECH job-holders count
%STEM_Jobs_M	Share of total STEM/TECH job holders who are male, regardless of full- or part-time employment status
%STEM_Jobs_F	Share of total STEM/TECH job holders who are female, regardless of full- or part-time employment status
STEM_%ALL	Share of STEM/TECH job holders as a percentage of total employed civilian residents age 16 and over, regardless of full- or part-time employment status
MEAR$_EmpPop16+_STEM	2021 Median earnings for civilians age 16 and over, employed full-time, year-round, in science, technology, engineering and mathematics (STEM/TECH) occupations. Note median income above $250,000 shown as 250000+; median income below the 2021 one-person federal poverty guideline —determined by the U.S. Department of Health and Human Services— are labeled as “BPL”. The poverty threshold for one person is $16,090 in Alaska, $14,820 in Hawaii, $12,880 in the 48 contiguous states and the District of Columbia.
MEAR$_EmpPop16+_STEM_Type1	2021 Median earnings for civilians age 16 and over, employed full-time, year-round – Computer and mathematical occupations. Note median income above $250,000 shown as 250000+; median income below the 2021 one-person federal poverty guideline —determined by the U.S. Department of Health and Human Services— are labeled as “BPL”. The poverty threshold for one person is $16,090 in Alaska, $14,820 in Hawaii, $12,880 in the 48 contiguous states and the District of Columbia.
MEAR$_EmpPop16+_STEM_Type2	2021 Median earnings for civilians age 16 and over, employed full-time, year-round – Architecture and engineering occupations. Note median income above $250,000 shown as 250000+; median income below the 2021 one-person federal poverty guideline —determined by the U.S. Department of Health and Human Services— are labeled as “BPL”. The poverty threshold for one person is $16,090 in Alaska, $14,820 in Hawaii, $12,880 in the 48 contiguous states and the District of Columbia.
MEAR$_EmpPop16+_STEM_Type3	2021 Median earnings for civilians age 16 and over, employed full-time, year-round – Life, physical, and social science occupations. Note median income above $250,000 shown as 250000+; median income below the 2021 one-person federal poverty guideline —determined by the U.S. Department of Health and Human Services— are labeled as “BPL”. The poverty threshold for one person is $16,090 in Alaska, $14,820 in Hawaii, $12,880 in the 48 contiguous states and the District of Columbia.
1YChg%_MEAR$_EmpPop16+_STEM	2020-2021 change in median earnings for civilians age 16 and over, employed full-time, year-round, in science, technology, engineering and mathematics (STEM/TECH) occupations
1YChg%_MEAR$_EmpPop16+_STEM_Type1	2020-2021 change in median earnings for civilians age 16 and over, employed full-time, year-round – Computer and mathematical occupations
1YChg%_MEAR$_EmpPop16+_STEM_Type2	2020-2021 change in median earnings for civilians age 16 and over, employed full-time, year-round – Architecture and engineering occupations
1YChg%_MEAR$_EmpPop16+_STEM_Type3	2020-2021 change in median earnings for civilians age 16 and over, employed full-time, year-round – Life, physical, and social science occupations

D4. Blue-Collar Worker Grid

Index_code	Index_name
Region	Four U.S. regions – West, South, Midwest and Northeast — as broadly defined by the U.S. Census
ST	Abbreviation of U.S. states (includes DC)
Z_code	ZIP Code Tabulation Areas (ZCTAs) — Census Bureau
Z_name	ZIP code location name. Note: common location names only; Neighborhood modifications/adjustments are NOT included in the dataset.
TOT_EmpPop16+	Total employed civilian residents age 16 and over
%TOT_EmpPop16+_M	%Total employed civilian residents age 16 and over who are male
%TOT_EmpPop16+_F	%Total employed civilian residents age 16 and over who are female
TOT_EmpPop16+_CNS+MAN	Total civilian residents age 16 and over employed in construction and manufacturing industries combined (ZIP codes with less than ten workers in theose two industries were excluded from this dataset)
%TOT_EmpPop16+_CNS	%Total age 16+ employed civilian residents in the construction industry
%TOT_EmpPop16+_MAN	%Total age 16+ employed civilian residents in the manufacturing industry
%TOT_EmpPop16+_CNS+MAN	%Total age 16+ employed civilian residents worked in construction and manufacturing industries combined
%Tot_CNS+MAN_M	%Total construction and manufacturing workers who are male; Workers refer to employed civilian residents age 16+
%Tot_CNS+MAN_F	%Total construction and manufacturing workers who are female; Workers refer to employed civilian residents age 16+
%TOT_EmpPop16+_CNS+MAN_FTYR	Share of construction and manufacturing workers worked full-time, year-round
TotWorkers16+_M_CNS	Total male workers in the construction industry, age 16+ and regardless of part-time, full-time status
TotWorkers16+_F_CNS	Total female workers in the construction industry, age 16+ and regardless of part-time, full-time status
Job_Ratio_M/F_CNS	Male-to-female ratio: construction industry job-holders at ZIP code resident-level
TotWorkers16+_M_MAN	Total male workers in the manufacturing industry, age 16+ and regardless of part-time, full-time status
TotWorkers16+_F_MAN	Total female workers in the manufacturing industry, age 16+ and regardless of part-time, full-time status
Job_Ratio_M/F_MAN	Male-to-female ratio: manufacturing industry job-holders at ZIP code resident level
MEAR$_FTYR_EmpPop16+_ALL	Median earnings for civilians, age 16 and over, employed full-time, year-round — all industries; Note median income above $250,000 shown as 250000+.
MEAR$_FTYR_EmpPop16+_CNS	Local predominant construction industry worker pay: Median earnings for civilians, age 16+ employed full-time, year-round — in the construction industry; Note median income above $250,000 shown as 250000+.
Pay_Ratio_ZIP/ST_CNS	Median construction industry pay ratio: resident workers by ZIP code vs. by state
MEAR$_FTYR_EmpPop16+_MAN	Local predominant manufacturing industry worker pay: Media earnings for civilians, age 16+ employed full-time, year-round — in the manufacturing industry; Note median income above $250,000 shown as 250000+.
Pay_Ratio_ZIP/ST_MAN	Median manufacturing industry pay ratio: resident workers by ZIP code vs. by state
MEAR$_M_FTYR_EmpPop16+_CNS	Median construction industry earnings for male workers, age 16+ employed full-time, year-round; Note median income above $250,000 shown as 250000+.
MEAR$_F_FTYR_EmpPop16+_CNS	Median construction industry earnings for female workers, age 16+ employed full-time, year-round; Note median income above $250,000 shown as 250000+.
Pay_Ratio_M/F_CNS	Male-to-female median pay ratio for workers in the construction industry; ZIP code resident level
MEAR$_M_FTYR_EmpPop16+_MAN	Median manufacturing industry earnings for male workers, age 16+ employed full-time, year-round; Note median income above $250,000 shown as 250000+.
MEAR$_F_FTYR_EmpPop16+_MAN	Median manufacturing industry earnings for female workers, age 16+ employed full-time, year-round; Note median income above $250,000 shown as 250000+.
Pay_Ratio_M/F_MAN	Male-to-female median pay ratio for workers in the manufacturing industry; ZIP code-level
Median age, 16-64, ALL	Median age for the working-age population (age 16-64) by ZIP code
Median age, 16-64, MALE	Median age for the male working-age (age 16-64) population by ZIP code
Median age, 16-64, FEMALE	Median age for the female working-age (age 16-64) population by ZIP code
%CNS_Workers_CAR	%Construction industry workers drive to work; Including those who car-pooled to commute to workplace
%CNS_Workers_PTR	%Construction industry workers commuted to work via public transportation
%CNS_Workers_OTH	%Construction industry workers commuted to work via all other means combined (walking, bicycling, work-from-home, taxi etc.)
CARS_CNS_commuting	Estimated total vehicles (including cars, trucks, vans) used for commuting by workers in the construction industry
%MAN_Workers_CAR	%Manufacturing industry workers drive to work; Including those who car-pooled to commute to workplace
%MAN_Workers_PTR	%Manufacturing industry workers commuted to work via public transportation
%MAN_Workers_OTH	%Manufacturing industry workers commuted to work via all other means combined (walking, bicycling, work-from-home, taxi etc.)
CARS_MAN_commuting	Estimated total vehicles (including cars, trucks, vans) used for commuting by workers in the manufacturing industry
EmpPop16+_BCL	Estimated total blue-collar workers by ZIP code: civilians age 16 and more, in broadly defined blue-collar occupations including natural resources, construction, maintenance, production, transportation, and material moving occupations; Note not all blue-collar occupation-holders work in either construction or manufacturing industry, nor are all construction and manufacturing industry workers classified as holding blue-collar occupations.
%ST_EmpPop16+_BCL	%Total employed civilian residents age 16+ holding blue-collar jobs
%EmpPop16+_BCL_NHW	%Est. blue-collar job-holders in the ZIP code self-identified as Non-Hispanic White
%EmpPop16+_BCL_HSP	%Est. blue-collar job-holders in the ZIP code self-identified as Hispanic
%EmpPop16+_BCL_ASN	%Est. blue-collar job-holders in the ZIP code self-identified as Asian
%EmpPop16+_BCL_BLK	%Est. blue-collar job-holders in the ZIP code self-identified as Black or African-American
%EmpPop16+_BCL_AIAN	%Est. blue-collar job-holders in the ZIP code self-identified as American Indian and Alaska Native
%EmpPop16+_BCL_NHPI	%Est. blue-collar job-holders in the ZIP code self-identified as Native Hawaiian and Pacific Islander
%EmpPop16+_BCL_TWM	%Est. blue-collar job-holders in the ZIP code self-identified as having two or more races/ethnic background