CDC SVI Data dictionary - onetomapanalytics/Meta_Data GitHub Wiki
CDC SVI Data dictionary
Note: Variables beginning with “E_” are estimates. Variables beginning with “M_” are margins of error for those estimates. Values of -999 represent “null” or “no data.”
The four summary theme ranking variables, detailed in the Data Dictionary below, are:
- Socioeconomic theme - RPL_THEME1
- Household Composition and Disability - RPL_THEME2
- Minority Status & Language - RPL_THEME3
- Housing & Transportation - RPL_THEME4 The overall tract summary ranking variable is RPL_THEMES.
| 2016 VARIABLE NAME | 2016 DESCRIPTION | CENSUS or SVI TABLE(S) | TABLE FIELD CALCULATION | CALCULATION DESCRIPTION | NOTES | **** |
|---|---|---|---|---|---|---|
| ST | State-level FIPS code | S0601 | FIPS | In Excel from Tract-level FIPS code; LEFT (FIPS; 2) | ||
| STATE | State name | S0601 | GEO.display-label | In Excel use DATA | Text to Columns to extract state name | |
| ST_ABBR | State abbreviation | N/A | N/A | Joined from Esri state boundary shapefile | ||
| STCNTY | County-level FIPS code | S0601 | FIPS | In Excel from Tract-level FIPS code; LEFT (FIPS; 5) | In the county-level SVI database the 5-digit STCNTY field is the FIPS field used for joins | |
| COUNTY | County name | S0601 | GEO.display-label | In Excel | use DATA | Text to Columns to extract county name |
| FIPS | Tract-level FIPS code | S0601 | GEO.id | In Excel RIGHT (GEO.id; 11) | ||
| LOCATION | Text description of tract; county; state | S0601 | GEO.display-label | |||
| AREA_SQMI | Tract area in square miles | Census Cartographic Boundary File - U.S. Tracts 2016 500K | ALAND * 3.86102e-7 | Conversion from square meters to square miles | ||
| E_TOTPOP | Population estimate 2012-2016 ACS | S0601 | HC01_EST_VC01 | |||
| M_TOTPOP | Population estimate MOE 2012-2016 ACS | S0601 HC01_MOE_VC01 | ||||
| E_HU | Housing units estimate 2012-2016 ACS | DP04 | HC01_VC03 | |||
| M_HU | Housing units estimate MOE; 2012-2016 ACS | DP04 | HC02_VC03 | |||
| E_HH | Households estimate 2012-2016 ACS | DP02 HC01_VC03 | ||||
| M_HH | Households estimate MOE 2012-2016 ACS | DP02 HC02_VC03 | ||||
| E_POV | Persons below poverty estimate 2012-2016 ACS | B17001 HD01_VD02 | ||||
| M_POV | Persons below poverty estimate MOE 2012-2016 ACS | B17001 HD02_VD02 | ||||
| E_UNEMP | Civilian (age 16+) unemployed estimate 2012-2016 ACS | DP03 HC01_VC07 | ||||
| M_UNEMP | Civilian (age 16+) unemployed estimate MOE 2012-2016 ACS | DP03 HC02_VC07 | ||||
| E_PCI | Per capita income estimate ACS | B19301 HD01_VD01 | Fewer rows than other variables - joined to Census 2016 tracts. Contains null cells (i.e. -999). | |||
| M_PCI | Per capita income estimate MOE 2012-2016 ACS | B19301 HD02_VD01 | Fewer rows than other variables - joined to Census 2016 tracts | |||
| E_NOHSDP | Persons (age 25+) with no high school diploma estimate 2012-2016 ACS | B06009 HD01_VD03 | ||||
| M_NOHSDP | Persons (age 25+) with no high school diploma estimate MOE 2012-2016 ACS | B06009 HD02_VD03 | ||||
| E_AGE65 | Persons aged 65 and older estimate 2012-2016 ACS | S1501 HC01_EST_VC32 | ||||
| M_AGE65 | Persons aged 65 and older estimate MOE 2012-2016 ACS | S1501 HC01_MOE_VC32 | ||||
| E_AGE17 | Persons aged 17 and younger estimate 2012-2016 ACS | B09001 HD01_VD01 | ||||
| M_AGE17 | Persons aged 17 and younger estimate MOE 2012-2016 ACS | B09001 HD02_VD01 | ||||
| E_DISABL | Civilian noninstitutionalized population with a disability estimate 2012-2016 ACS | DP02 HC01_VC106 | ||||
| M_DISABL | Civilian noninstitutionalized population with a disability estimate MOE 2012-2016 ACS | DP02 HC02_VC106 | ||||
| E_SNGPNT | Single parent household with children under 18 estimate 2012-2016 ACS | DP02 HC01_VC09 + HC01_VC11 | Estimate male householder; no wife present; family - With own children under 18 years + Estimate female householder; no husband present; family - With own children under 18 years | |||
| M_SNGPNT | Single parent household with children under 18 estimate MOE 2012-2016 ACS | DP02 | SQRT(HC02_VC09^2 + HC02_VC11^2) | SQRT (MOE male householder; no wife present; family - With own children under 18 years ^2 + Estimate female householder; no husband present; family - With own children under 18 years ^2) | ||
| E_MINRTY | Minority (all persons except white non-Hispanic) estimate 2012-2016 ACS | B01001H E_TOTPOP - HD01_VD01 | ||||
| M_MINRTY | Minority (all persons except white | non-Hispanic) estimate MOE 2012-2016 ACS | B01001H | SQRT(M_TOTPOP^2 + HD02_VD01^2) | SQRT (MOE total population ^2 - MOE white; non-Hispanic ^2) | |
| E_LIMENG | Persons (age 5+) who speak English "less than well" estimate 2012-2016 ACS | B16005 | HD01_VD07 + HD01_VD08 + HD01_VD12 + HD01_VD13 + HD01_VD17 + HD01_VD18 + HD01_VD22 + HD01_VD23 + HD01_VD29 + HD01_VD30 + HD01_VD34 + HD01_VD35 + HD01_VD39 + HD01_VD40 + HD01_VD44 + HD01_VD45 estimate ; Native: - Speak Spanish: - Speak English "not well" + Estimate; Native: - Speak Spanish: - Speak English "not at all" + Estimate; Native: - Speak other Indo-European languages: - Speak English "not well" + Estimate; Native: - Speak other Indo-European languages: - Speak English "not at all" + Estimate; Native: - Speak Asian and Pacific Island languages: - Speak English "not well" + Estimate; Native: - Speak Asian and Pacific Island languages: - Speak English "not at all" + Estimate; Native: - Speak other languages: - Speak English "not well" + Estimate; Native: - Speak other languages: - Speak English "not at all" + Estimate; Foreign born: - Speak Spanish: - Speak English "not well" + Estimate; Foreign born: - Speak Spanish: - Speak English "not at all" + Estimate; Foreign born: - Speak other Indo- European languages: - Speak English "not well" + Estimate; Foreign born: - Speak other Indo-European languages: - Speak English "not at all" + Estimate; Foreign born: - Speak Asian and Pacific Island languages: - Speak English "not well" + Estimate; Foreign born: - Speak Asian and Pacific Island languages: - Speak English "not at all" + Estimate; Foreign born: - Speak other languages: - Speak English "not well" + Estimate; Foreign born: - Speak other languages: - Speak English "not at all" | |||
| M_LIMENG | Persons (age 5+) who speak English "less than well" estimate MOE 2012-2016 ACS | B16005 | SQRT(HD02_VD07^2 + HD02_VD08^2 + HD02_VD12^2 + HD02_VD13^2 + HD02_VD17^2 + HD02_VD18^2 + HD02_VD22^2 + HD02_VD23^2 + HD02_VD29^2 + HD02_VD30^2 + HD02_VD34^2 + HD02_VD35^2 + HD02_VD39^2 + HD02_VD40^2 + HD02_VD44^2 + HD02_VD45^2) | SQRT (MOE Native: - Speak Spanish: - Speak English "not well"^2 + MOE Native: - Speak Spanish: - Speak English "not at all"^2 + MOE Native: - Speak other Indo- European languages: - Speak English "not well"^2 + MOE Native: - Speak other Indo-European languages: - Speak English "not at all"^2 + MOE Native: - Speak Asian and Pacific Island languages: - Speak English "not well"^2 + MOE Native: - Speak Asian and Pacific Island languages: - Speak English "not at all"^2 + MOE Native: - Speak other languages: - Speak English "not well"^2 + MOE Native: - Speak other languages: - Speak English "not at all"^2 + MOE Foreign born: - Speak Spanish: - Speak English "not well"^2 + MOE Foreign born: - Speak Spanish: - Speak English "not at all"^2 + MOE Foreign born: - Speak other Indo-European languages: - Speak English "not well"^2 + MOE Foreign born: - Speak other Indo-European languages: - Speak English "not at all"^2 + MOE Foreign born: - Speak Asian and Pacific Island languages: - Speak English "not well"^2 + MOE Foreign born: - Speak Asian and Pacific Island languages: - Speak English "not at all"^2 + MOE Foreign born: - Speak other languages: -Speak English "not well"^2 + MOE Foreign born: - Speak other languages: - Speak English "not at all"^2) | ||
| E_MUNIT | Housing in structures with 10 or more units estimate 2012-2016 ACS | DP04 | HC01_VC19 + HC01_VC20 | estimate ; UNITS IN STRUCTURE - Total housing units - 10 to 19 units + Estimate; UNITS IN STRUCTURE - Total housing units - 20 or more units | ||
| M_MUNIT | Housing in structures with 10 or more units estimate MOE 2012-2016 ACS | DP04 | SQRT(HC02_VC19^2 + HC02_VC20^2) | SQRT (MOE UNITS IN STRUCTURE - Total housing units - 10 to 19 units^2 + MOE; UNITS IN STRUCTURE - Total housing units - 20 or more units^2) | ||
| E_MOBILE | Mobile homes estimate 2012-2016 ACS | DP04 | HC01_VC21 | |||
| M_MOBILE | ||||||
| Mobile homes estimate MOE 2012-2016 ACS | DP04 | HC02_VC21 | ||||
| E_CROWD | At household level (occupied housing units); more people than rooms estimate 2012-2016 ACS | DP04 | HC01_VC114 + HC01_VC115 | estimate ; OCCUPANTS PER ROOM | ||
| - Occupied housing units - 1.01 to 1.50 + Estimate; OCCUPANTS PER ROOM - Occupied housing units - 1.51 or more | ||||||
| M_CROWD | At household level (occupied housing units); more people than rooms estimate MOE 2012-2016 ACS | DP04 | SQRT(HC02_VC114^2 + HC02_VC115^2) | SQRT(MOE OCCUPANTS PER ROOM - Occupied housing units - 1.01 to 1.50^2+ MOE OCCUPANTS PER ROOM - Occupied housing units - 1.51 or more^2) | ||
| E_NOVEH | Households with no vehicle available estimate 2012-2016 ACS | DP04 | HC01_VC85 | |||
| M_NOVEH | Households with no vehicle available estimate MOE 2012-2016 ACS | DP04 | HC02_VC85 | |||
| E_GROUPQ | Persons in institutionalized group quarters estimate 2012-2016 ACS | B26001 | HD01_VD01 | |||
| M_GROUPQ | Persons in institutionalized group quarters estimate MOE 2012-2016 ACS | B26001 | HD02_VD01 | |||
| EP_POV | Percentage of Persons below poverty estimate | S0601 | HC01_EST_VC67 | |||
| MP_POV | Percentage of Persons below poverty estimate MOE | S0601 | HC01_MOE_VC67 | |||
| EP_UNEMP | Percentage of Civilian (age 16+)unemployed estimate | DP03 | HC03_VC12 | |||
| MP_UNEMP | Percentage of Civilian (age 16+)unemployed estimate MOE | DP03 | HC04_VC12 | |||
| EP_PCI | Per capita income estimate 2012-2016 ACS | B19301 | HD01_VD01 | Value is the same as E_PCI | ||
| MP_PCI | Per capita income estimate MOE 2012-2016 ACS | B19301 | HD02_VD01 Value is the same as M_PCI | |||
| EP_NOHSDP | Percentage of Persons with no high school diploma (age 25+) estimate | S0601 | HC01_EST_VC46 | |||
| MP_NOHSDP | Percentage of Persons with no high school diploma (25+) estimate MOE | S0601 | HC01_MOE_VC46 | |||
| EP_AGE65 | Percentage of Persons aged 65 and older estimate 2012-2016 ACS | S0101 | HC01_EST_VC31 | |||
| MP_AGE65 | Percentage of Persons aged 65 and older estimate MOE 2012-2016 ACS | S0101 HC01_MOE_VC31 | ||||
| EP_AGE17 | Percentage of Persons aged 17 and younger estimate 2012-2016 ACS | SVI | ||||
| (E_AGE17 / E_TOTPOP)*100 | (Persons aged 17 and younger estimate / Total population estimate) * 100 | This calculation resulted in some division by 0 errors in cases where E_TOTPOP equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. | ||||
| MP_AGE17 | Percentage of Persons aged 17 and younger estimate MOE 2012-2016 ACS | SVI | ||||
| ((SQRT(M_AGE17^2- ((EP_AGE17/100)^2*M_TOTPOP^2)))/E_TOTPOP)*100 ((SQRT(MOE Population under 18 years^2 - (Estimated proportion of persons aged 17 and younger^2 * MOE Total Population^2))) / Total population estimate ) * 100 | Two MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/library/p ublications/2008/acs/ACSGeneralHandbook.pdf). | |||||
| EP_DISABL | Percentage of Civilian noninstitutionalized population with a disability estimate 2012-2016 ACS | DP02 | HC03_VC106 | |||
| MP_DISABL | Percentage of Civilian noninstitutionalized population with a disability estimate MOE 2012-2016 ACS | DP02 | HC04_VC106 | |||
| EP_SNGPNT | Percentage of single parent households with children under 18 estimate 2012-2016 ACS | SVI | (E_SNGPNT / E_HH) * 100 | (Single parent household with children | ||
| under 18 estimate / Households estimate)* 100 | This calculation resulted in some division by 0 errors in cases where E_HH equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. | |||||
| MP_SNGPNT | Percentage of single parent households with children under 18 estimate MOE 2012-2016 ACS | SVI | ((SQRT(M_SNGPNT^2-((EP_SNGPNT/100)^2*M_HH^2)))/E_HH)*100 | ((SQRT(MOE Single parent households^2 - (Estimated proportion single parent households^2 * MOE Households^2))) / Households estimate ) * 100 | Two MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/lib rary/publications/2008/acs/ACSGeneralHandbook.pdf). | |
| EP_MINRTY | Percentage minority (all | Persons except white; non-Hispanic) estimate 2012-2016 ACS | SVI | (E_MINRTY/E_TOTPOP)*100 | (Minority estimate / Total population estimate) * 100 | This calculation resulted in some division by 0 errors in cases where E_HH equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. |
| MP_MINRTY | Percentage minority (all | Persons except white; non-Hispanic) estimate MOE 2012-2016 ACS | SVI | ((SQRT(M_MINRTY^2-((EP_MINRTY/100)^2*M_TOTPOP^2)))/E_TOTPOP)*100 | ((SQRT(MOE Minority^2 - (Estimated proportion minority^2 * MOE Total population^2))) / Total population estimate) * 100 | |
| EP_LIMENG | Percentage of Persons (age 5+) who speak English "less than well" estimate 2012-2016 ACS | SVI and B16005 | (E_LIMENG/HD01_VD01)*100 | (Persons who speak English "less than well" estimate / Population age 5 and over estimate) * 100 | This calculation resulted in some division by 0 errors in cases where total population age 5 and over equals 0. These rows were revised with the estimate d proportions set to 0 and their corresponding MOEs set to -999. | |
| MP_LIMENG | Percentage of Persons (age 5+) who speak English "less than well" estimate MOE 2012-2016 ACS | SVI and B16005 | ((SQRT(M_LIMENG^2-((EP_LIMENG/100)^2*HD02_V D01^2)))/HD01_VD01)*100 | ((SQRT(MOE Persons who speak English less than well^2 - (Estimated proportion persons who speak English less than well^2 * MOE population age 5 and over^2))) / Population age 5 and over estimate) * 100 | Two MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/lib rary/publications/2008/acs/ACSGeneralHandbook. pdf). | |
| EP_MUNIT | Percentage of housing in structures with 10 or more units estimate | SVI | (E_MUNIT/E_HU)*100 | (Housing in structures with 10 or more units estimate / Housing | ||
| units estimate)*100 | This calculation resulted in some division by 0 errors in cases where E_HU equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. | |||||
| MP_MUNIT | Percentage of housing in structures with 10 or more units estimate MOE | SVI | ((SQRT(M_MUNIT^2-((EP_MUNIT/100)^2*M_HU^2)))/E_HU)*100 | ((SQRT(MOE Housing in structures with 10 or more units^2 - (Estimated proportion housing in structures with 10 or more units^2* MOE Housing units^2))) / Housing units estimate) * 100 | Two MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/lib rary/publications/2008/acs/ACSGeneralHandbook.pdf). | |
| EP_MOBILE | Percentage of mobile homes estimate | DP04 | HC03_VC21 | |||
| MP_MOBILE | Percentage of mobile homes estimate MOE | DP04 | HC04_VC21 | |||
| EP_CROWD | Percentage of occupied housing units with more people than rooms estimate | SVI and DP04 | (E_CROWD/HC01_VC04)*100 | (Occupied housing units with more people than rooms estimate / Occupied housing units estimate)*100 | This calculation resulted in some division by 0 errors in cases where HC01_VC04 equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. | |
| MP_CROWD | Percentage of occupied housing units with more people than rooms estimate MOE | SVI and DP04 | ((SQRT(M_CROWD^2-((EP_CROWD/100)^2*HC02_VC04^2)))/HC01_VC04)*100 | ((SQRT(MOE Occupied housing units with more people than rooms^2 - (Estimated proportion of occupied housing units with more people than rooms^2 * MOE Occupied housing units^2))) /Occupied housing units estimate) * 100 | Some MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/library/publications/2008/acs/ACSGeneralHandbook.pdf). | |
| EP_NOVEH | Percentage of households with no vehicle available estimate | DP04 | HC03_VC85 | |||
| MP_NOVEH | Percentage of households with no vehicle available estimate MOE | DP04 | HC04_VC85 | |||
| EP_GROUPQ | Percentage of persons in institutionalized group quarters estimate 2012-2016 ACS | SVI | (E_GROUPQ/E_TOTPOP)*100 | (Persons in group quarters estimate / Total population estimate ) * 100 | This calculation resulted in some division by 0 errors in cases where E_TOTPOP equals 0. These rows were revised with the estimated proportions set to 0 and their corresponding MOEs set to -999. | |
| MP_GROUPQ | Percentage of persons in institutionalized group quarters estimate MOE 2012-2016 ACS | SVI | ((SQRT(M_GROUPQ^2-((EP_GROUPQ/100)^2*M_TOTPOP^2)))/E_TOTPOP)*100 | ((SQRT(MOE Persons in group quarters^2 - (Estimated proportion persons in group quarters^2 * MOE Total population^2))) / Total population estimate) * 100 | Some MOE calculations resulted in errors because the value under the square root was negative. For these rows; as the Census Bureau suggests; we used the formula for derived ratios; as opposed to that for derived proportions. Instead of the subtraction in the standard formula; we add. See A Compass for Understanding and Using American Community Survey Data; page A-15 (https://www.census.gov/content/dam/Census/library/publications/2008/acs/ACSGeneralHandbook.pdf). | |
| EPL_POV | Percentile Percentage of persons below poverty estimate | SVI | In Excel: PERCENTRANK.INC on EP_POV array with 4 significant digits | |||
| EPL_UNEMP | Percentile Percentage of civilian (age 16+) unemployed estimate | SVI | In Excel: PERCENTRANK.INC on EP_UNEMP array with 4 significant digits | |||
| EPL_PCI | Percentile per capita income estimate | SVI | In Excel: 1-(PERCENTRANK.INC on EP_PCI array with 4 significant digits) | Per capita income necessarily reversed as high income equates with low vulnerability and vice versa. Null values (-999) removed from the array before calculating output percentile ranks. Output for -999 input cells set to -999. | ||
| EPL_NOHSDP | Percentile Percentage of persons with no high school diploma (age 25+) estimate | SVI | In Excel: PERCENTRANK.INC on EP_NOHSDP array with 4 significant digits | |||
| SPL_THEME1 | Sum of series for Socioeconomic theme | SVI | EPL_POV + EPL_UNEMP + EPL_PCI + EPL_NOHSDP | Null values (-999) removed before calculating output sum. Output for sums with null values in the same row set to -999. | ||
| RPL_THEME1 | Percentile ranking for Socioeconomic theme summary | SVI | In Excel: PERCENTRANK.INC on SPL_THEME1 array with 4 significant digits | Null values (-999) removed from the array before calculating output percentile ranks. Output for -999 input cells set to -999. | ||
| EPL_AGE65 | Percentile Percentage of Persons aged 65 and older estimate | SVI | In Excel: PERCENTRANK.INC on EP_AGE65 array with 4 significant digits | |||
| EPL_AGE17 | Percentile Percentage of Persons aged 17 and younger estimate | SVI | In Excel: PERCENTRANK.INC on EP_AGE17 array with 4 significant digits | |||
| EPL_DISABL | Percentile Percentage of Civilian noninstitutionalized population with a disability estimate | SVI | In Excel: PERCENTRANK.INC on EP_DISABL array with 4 significant digits | |||
| EPL_SNGPNT | Percentile Percentage of single parent households with children under 18 estimate | SVI | In Excel: PERCENTRANK.INC on EP_SNGPNT array with 4 significant digits | |||
| SPL_THEME2 | Sum of series for Household Composition theme | SVI | EPL_AGE65 + EPL_AGE17 + EPL_DISABL + EPL_SNGPNT | |||
| RPL_THEME2 | Percentile ranking for Household Composition theme summary | SVI | In Excel: PERCENTRANK.INC on SPL_THEME2 array with 4 significant digits | |||
| EPL_MINRTY | Percentile Percentage minority (all | Persons except white; non-Hispanic) estimate | SVI | In Excel: PERCENTRANK.INC on EP_MINRTY array with 4 significant digits | ||
| EPL_LIMENG | Percentile Percentage of Persons (age 5+) who speak English "less than well" estimate | SVI | In Excel: PERCENTRANK.INC on EP_LIMENG array with 4 significant digits | |||
| SPL_THEME3 | Sum of series for Minority Status/Language theme | SVI | EPL_MINRTY + EPL_LIMENG | |||
| RPL_THEME3 | Percentile ranking for Minority Status/Language theme | SVI | In Excel: PERCENTRANK.INC on SPL_THEME3 array with 4 significant digits | |||
| EPL_MUNIT | Percentile Percentage housing in structures with 10 or more units estimate | SVI | In Excel: PERCENTRANK.INC on EP_MUNIT array with 4 significant digits | |||
| EPL_MOBILE | Percentile Percentage mobile homes estimate | SVI | In Excel: PERCENTRANK.INC on EP_MOBILE array with 4 significant digits | |||
| EPL_CROWD | Percentile Percentage households with more people than rooms estimate | SVI | In Excel: PERCENTRANK.INC on EP_CROWD array with 4 significant digits | |||
| EPL_NOVEH | Percentile Percentage households with no vehicle available estimate | SVI | In Excel: PERCENTRANK.INC on EP_NOVEH array with 4 significant digits | |||
| EPL_GROUPQ | Percentile Percentage of Persons in institutionalized group quarters estimate | SVI | In Excel: PERCENTRANK.INC on EP_GROUPQ array with 4 significant digits | |||
| SPL_THEME4 | Sum of series for Housing/Transportation theme | SVI | EPL_MUNIT + EPL_MOBIL + EPL_CROWD + EPL_NOVEH + EPL_GROUPQ | |||
| RPL_THEME4 | Percentile ranking for Housing/Transportation theme | SVI | In Excel: PERCENTRANK.INC on SPL_THEME4 array with 4 significant digits | |||
| SPL_THEMES | Sum of series themes | SVI | SPL_THEME1 + SPL_THEME2 + SPL_THEME3 + SPL_THEME4 | Null values (-999) removed before calculating output sum. Output for sums with null values in the same row set to -999. | ||
| RPL_THEMES | Overall percentile ranking | SVI | In Excel: PERCENTRANK.INC on SPL_THEMES array with 4 significant digits | Null values (-999) removed from the array before calculating output percentile ranks. Output for - 999 input cells set to -999. | ||
| F_POV | Flag -the Percentage of Persons in poverty is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_POV >= 0.90 | |||
| F_UNEMP | Flag -the Percentage of Civilian unemployed is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_UNEMP >= 0.90 | |||
| F_PCI | Flag -per capita income is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_PCI >= 0.90 | Output for -999 input cells set to -999. | ||
| F_NOHSDP | Flag -the Percentage of Persons with no high school diploma is in the | |||||
| 90th percentile (1 = yes; 0 = no) | SVI | EPL_NOHSDIP >= 0.90 | ||||
| F_THEME1 | Sum of flags for Socioeconomic Status theme | SVI | F_POV + F_UNEMP + F_PCI + F_NOHSDP | Null values (-999) removed before calculating output sum. Output for sums with null values in the same row set to -999. | ||
| F_AGE65 | Flag - the Percentage of Persons aged 65 and older is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_AGE65 >= 0.90 | |||
| F_AGE17 | Flag - the Percentage of Persons aged 17 and younger is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_AGE17 >= 0.90 | |||
| F_DISABL | Flag - the Percentage of Persons with a disability is in the | |||||
| 90th percentile (1 = yes; 0 = no) | SVI | EPL_DISABL >= 0.90 | ||||
| F_SNGPNT | Flag - the Percentage of single parent households is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_SNGPNT >= 0.90 | |||
| F_THEME2 | Sum of flags for Household Composition theme | SVI | F_AGE65 + F_AGE17 + F_DISABL + F_SNGPNT | |||
| F_MINRTY | Flag - the Percentage of minority is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_MINRTY >= 0.90 | |||
| F_LIMENG | Flag - the Percentage those with limited English is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_LIMENG >= 0.90 | |||
| F_THEME3 | Sum of flags for Minority Status/Language theme | SVI | F_MINRTY + F_LIMENG | |||
| F_MUNIT | Flag - the Percentage of households in multi-unit housing is in the 90th | |||||
| percentile (1 = yes; 0 = no) | SVI | EPL_MUNIT >= 0.90 | ||||
| F_MOBILE | Flag - the Percentage of mobile homes is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_MOBILE >= 0.90 | |||
| F_CROWD | Flag - the Percentage of crowded households is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_CROWD >= 0.90 | |||
| F_NOVEH | Flag - the Percentage of households with no vehicles is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_NOVEH >= 0.90 | |||
| F_GROUPQ | Flag - the Percentage of Persons in institutionalized group quarters is in the 90th percentile (1 = yes; 0 = no) | SVI | EPL_GROUPQ >= 0.90 | |||
| F_THEME4 | Sum of flags for Housing/Transportation theme | SVI | F_MUNIT + F_MOBILE + F_CROWD + F_NOVEH + F_GROUPQ | |||
| F_TOTAL | Sum of flags for the four themes | SVI | F_THEME1 + F_THEME2 + F_THEME3 + F_THEME4 | Null values (-999) removed before calculating output sum. Output for sums with null values in the same row set to -999. | ||
| E_UNINSUR | Adjunct variable - Uninsured in the total civilian noninstitutionalized population estimate 2012-2016 ACS | S2701 | HC04_EST_VC01 | |||
| M_UNINSUR | Adjunct variable - Uninsured in the total civilian noninstitutionalized population estimate MOE 2012-2016 ACS | S2701 | HC04_MOE_VC01 | |||
| EP_UNINSUR | Adjunct variable - Percentage uninsured in the total civilian noninstitutionalized population estimate 2012-2016 ACS | S2701 | HC05_EST_VC01 | |||
| MP_UNINSUR | Adjunct variable - Percentage uninsured in the total civilian noninstitutionalized population estimate MOE 2012-2016 ACS | S2701 | HC05_MOE_VC01 | |||
| E_DAYPOP | Adjunct variable - estimated daytime population; LandScan 2016 | N/A | Derived from LandScan 2016 - http://web.ornl.gov/sci/landscan/index.shtml. We followed ORNL's instructions for processing in ArcGIS; loading the LandScan grid first and maintaining WGS84 projection parameters. Using Spatial Analyst; we ran the Zonal Statistics as Table function to sum estimated daytime population for each LandScan raster cell to obtain an estimated daytime population for each SVI 2016 census tract. | Tracts having no LandScan cells that overlay have been assigned null values |
CDC SVI Data dictionary