Description: To more easily identify areas with the greatest energy burden we created an index that encompasses high valued measures to understanding energy burden. The index included a measure of energy burden itself along with some factors that drive energy burden such as affordability hardship due to low household income (economic driver); poor home energy efficiency due to older home vintage (physical driver); and ethnicity/race (systemic driver). Research clearly shows that there are other factors that can lead to a household experiencing energy burden. However, these initial metrics that we included in the index represent a starting point from which we can expand our analysis in the future. We calculated the index by breaking down each measure’s values into a low (score of 1) to high (score of 4) continuum based on their mean and standard deviation, and then averaging the scores of the four Oregon Affordable Housing Assessment variables for each county.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Description: To more easily identify areas with the greatest energy burden we created an index that encompasses high valued measures to understanding energy burden. The index included a measure of energy burden itself along with some factors that drive energy burden such as affordability hardship due to low household income (economic driver); poor home energy efficiency due to older home vintage (physical driver); and ethnicity/race (systemic driver). Research clearly shows that there are other factors that can lead to a household experiencing energy burden. However, these initial metrics that we included in the index represent a starting point from which we can expand our analysis in the future. We calculated the index by breaking down each measure’s values into a low (score of 1) to high (score of 4) continuum based on their mean and standard deviation, and then averaging the scores of the four Oregon Affordable Housing Assessment variables for each county.
Name: Low Income Housing and Tenure - Census Tract
Display Field: FIPS
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: To more easily identify areas with the greatest energy burden we created an index that encompasses high valued measures to understanding energy burden. The index included a measure of energy burden itself along with some factors that drive energy burden such as affordability hardship due to low household income (economic driver); poor home energy efficiency due to older home vintage (physical driver); and ethnicity/race (systemic driver). Research clearly shows that there are other factors that can lead to a household experiencing energy burden. However, these initial metrics that we included in the index represent a starting point from which we can expand our analysis in the future. We calculated the index by breaking down each measure’s values into a low (score of 1) to high (score of 4) continuum based on their mean and standard deviation, and then averaging the scores of the four Oregon Affordable Housing Assessment variables for each county.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Description: To more easily identify areas with the greatest energy burden we created an index that encompasses high valued measures to understanding energy burden. The index included a measure of energy burden itself along with some factors that drive energy burden such as affordability hardship due to low household income (economic driver); poor home energy efficiency due to older home vintage (physical driver); and ethnicity/race (systemic driver). Research clearly shows that there are other factors that can lead to a household experiencing energy burden. However, these initial metrics that we included in the index represent a starting point from which we can expand our analysis in the future. We calculated the index by breaking down each measure’s values into a low (score of 1) to high (score of 4) continuum based on their mean and standard deviation, and then averaging the scores of the four Oregon Affordable Housing Assessment variables for each county.
Name: Home Energy Affordability Gap - Census Tract
Display Field: FIPS
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Based on work by Fisher, Sheehan and Colton (2017), the energy affordability gap represents a dollar amount needed to bring energy burdened households to “affordable” (6% of income) level of energy burden. Home Energy Affordability Gap dataset can be found here: http://www.homeenergyaffordabilitygap.com/). FSC calculated energy affordability gap for households <200% Federal Poverty Level (FPL) based on data from ACS 2012-2016 5-year estimates.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Description: Based on work by Fisher, Sheehan and Colton (2017), the energy affordability gap represents a dollar amount needed to bring energy burdened households to “affordable” (6% of income) level of energy burden. Home Energy Affordability Gap dataset can be found here: http://www.homeenergyaffordabilitygap.com/). FSC calculated energy affordability gap for households <200% Federal Poverty Level (FPL) based on data from ACS 2012-2016 5-year estimates.
Description: Percent of total housing units built pre-1990, with supporting detail on the census tract’s distribution of primary fuel types. Source: ACS 2014-2018 5-year estimates, table DP04.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Description: Percent of total housing units built pre-1990, with supporting detail on the county’s distribution of primary fuel types. Source: ACS 2014-2018 5-year estimates, table DP04.
Description: Percent of total housing units built pre-1990, with supporting detail on the census tract’s distribution of primary fuel types. Source: ACS 2014-2018 5-year estimates, table DP04.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Description: Percent of total housing units built pre-1990, with supporting detail on the county’s distribution of primary fuel types. Source: ACS 2014-2018 5-year estimates, table DP04.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)
Name: Cost Effective Energy Savings in Low-Income Housing - County
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Estimates of potential energy savings estimates through efficiency improvements across low-income households as calculated by the Energy Trust of Oregon.
Name: Cost Effective Energy Savings in Low-Income Housing - Census Tract
Display Field: FIPS
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Estimates of potential energy savings estimates through efficiency improvements across low-income households as calculated by the Energy Trust of Oregon.
Registered_manufactured_home_pa
(
type: esriFieldTypeInteger, alias: Registered manufactured home park spaces (OHCS manufactured home park registry)
)
Total_home_energy_affordability
(
type: esriFieldTypeInteger, alias: Total home energy affordability gap ($)
)
Average_home_energy_affordabili
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for all energy burdened houesholds <200% FPL ($)
)
Average_home_energy_affordabi_1
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds <100% FPL ($)
)
Average_home_energy_affordabi_2
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 100-150% FPL ($)
)
Average_home_energy_affordabi_3
(
type: esriFieldTypeInteger, alias: Average home energy affordability gap for houesholds 150-200% FPL ($)
)
Percent_home_energy_burdened_ho
(
type: esriFieldTypeDouble, alias: Percent home energy burdened households of total occupied (%)
)
DUPLICATE_Percent_pre_1990_hous
(
type: esriFieldTypeDouble, alias: DUPLICATE Percent pre-1990 housing units of total housing units (%)
)
Transportation_Burden_for_house
(
type: esriFieldTypeInteger, alias: Transportation Burden for households <80% AMI (% of HH income spent on transportation)
)
Average_transportation_energy_a
(
type: esriFieldTypeInteger, alias: Average transportation energy affordability gap for households <80% AMI ($)
)