9 datasets found
  1. a

    Medical services (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Medical services (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/medical-services-household-average/about
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    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  2. a

    Housing (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Housing (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/housing-household-average-2022
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  3. a

    Utilities, Fuels, and Public Services (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Utilities, Fuels, and Public Services (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/utilities-fuels-and-public-services-household-average
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  4. a

    Apparel and Services (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Apparel and Services (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/apparel-and-services-household-average-2022
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  5. a

    Healthcare Insurance (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Healthcare Insurance (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/healthcare-insurance-household-average-2022
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  6. a

    Food at Home (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Food at Home (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/food-at-home-household-average-2022
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  7. a

    College Tuition (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). College Tuition (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/college-tuition-household-average
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  8. a

    Education (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Education (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/education-household-average-2022
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

  9. a

    Elementary and High School Tuition (Household average)

    • impactmap-smudallas.hub.arcgis.com
    Updated Mar 24, 2024
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    SMU (2024). Elementary and High School Tuition (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/elementary-and-high-school-tuition-household-average
    Explore at:
    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

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SMU (2024). Medical services (Household average) [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/medical-services-household-average/about

Medical services (Household average)

Explore at:
Dataset updated
Mar 24, 2024
Dataset authored and provided by
SMU
Area covered
Description

The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

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