Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Jefferson County, AL (S1701ACS001073) from 2012 to 2023 about Jefferson County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in St. Clair County, AL (S1701ACS001115) from 2012 to 2023 about St. Clair County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Shelby County, AL (S1701ACS001117) from 2012 to 2023 about Shelby County, AL; Birmingham; AL; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Blount County, AL (S1701ACS001009) from 2012 to 2023 about Blount County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

The figures presented here are from the End Child Poverty Coalition are based on tax credit data, used to estimate the percentage of children on low incomes in local authorities, parliamentary constituencies and wards across the UK. They also use national trends in worklessness to estimate recent changes in the number of children who are in poverty because their parents have lost their jobs, to update the local tax credit data which is more than two years old. This is not a direct measure of exactly how many children are in poverty on the official definition, but is based on the closest to an equivalent measure we have of local levels of child poverty. The data have been adjusted to produce figures compatible with the measures derived from the national survey of income, showing how many children live in households with below 60 per cent of median income. Specifically, the adjustments ensure that the total reported level of child poverty, before and after housing costs, is similar when adding up all the local figures as the official national totals. Thus, the local data gives an idea of the relative poverty levels in different areas, but are adjusted to estimate what these actual levels would be if they could be measured on the same basis as the national household income survey. The local data starts by classifying children in poverty if they live in families in receipt of out of work benefits or in receipt of in-work tax credits where their reported family income is less than 60 per cent of median income. This indicator, compiled officially as a local estimate of child poverty, has been reported for August 2011 by HMRC. However, on its own it is provides an inaccurate picture of actual child poverty, considerably overstating the numbers in out-of-work poverty and understating the numbers in working poverty. While these factors may balance out overall, they can seriously misrepresent the overall trend where working and non-working poverty change in different ways, as well as misrepresenting local differences where working poverty is relatively more important in some areas than others. Therefore, the figures include an upward adjustment in the in-work figure and a downward adjustment in the out-of-work figure. The adjustments are made separately to for AHC and BHC estimates, in each case according to how the total of the local estimates compare to the actual national measure. Figures are then updated, taking into account Labour Force Survey data on the number of children in non-working households for the final quarter of 2013. Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence

The number of households in the corresponding geographical area (modelled). Household numbers have been applied at sub-regional areas of geography and fixed to ensure that fuel poverty and household numbers at the English Region level match.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Walker County, AL (S1701ACS001127) from 2012 to 2023 about Walker County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

This is the proportion of children aged under 16 (0-15) living in families in absolute low income during the year. The figures are based on the count of children aged under 16 (0-15) living in the area derived from ONS mid-year population estimates. The count of children refers to the age of the child at 30 June of each year.

Low income is a family whose equivalised income is below 60 per cent of median household incomes. Gross income measure is Before Housing Costs (BHC) and includes contributions from earnings, state support, and pensions. Equivalisation adjusts incomes for household size and composition, taking an adult couple with no children as the reference point. For example, the process of equivalisation would adjust the income of a single person upwards, so their income can be compared directly to the standard of living for a couple.

Absolute low income is income Before Housing Costs (BHC) in the reference year in comparison with incomes in 2010/11 adjusted for inflation. A family must have claimed one or more of Universal Credit, Tax Credits, or Housing Benefit at any point in the year to be classed as low income in these statistics. Children are dependent individuals aged under 16; or aged 16 to 19 in full-time non-advanced education. The count of children refers to the age of the child at 31 March of each year.

Data are calibrated to the Households Below Average Income (HBAI) survey regional estimates of children in low income but provide more granular local area information not available from the HBAI. For further information and methodology on the construction of these statistics, visit this link. Totals may not sum due to rounding.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Chilton County, AL (S1701ACS001021) from 2012 to 2023 about Chilton County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

The English Indices of Deprivation 2010 provide a relative measure of deprivation at small area level across England. Areas are ranked from least deprived to most deprived on seven different dimensions of deprivation and an overall composite measure of multiple deprivation. Most of the data underlying the 2010 Indices are for the year 2008. The domains used in the Indices of Deprivation 2010 are: income deprivation; employment deprivation; health deprivation and disability; education deprivation; crime deprivation; barriers to housing and services deprivation; and living environment deprivation. Each of these domains has its own scores and ranks, allowing users to focus on specific aspects of deprivation. In addition, two supplementary indices measure income deprivation amongst children - the Income Deprivation Affecting Children Index (IDACI) - and older people - the Income Deprivation Affecting Older People Index (IDAOPI). This data is available for Birmingham specific and for the UK as a whole. Licence: http://reference.data.gov.uk/id/open-government-licence Birmingham 2010 Overall.excel - https://data.birmingham.gov.uk/dataset/87394513-1745-45cb-b766-1ff106a6481a/resource/82d657eb-23e6-402a-9398-eebd049e5756/download/birminghamimdoverallscore2010.xlsx

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Bibb County, AL (S1701ACS001007) from 2012 to 2023 about Bibb County, AL; Birmingham; AL; poverty; percent; 5-year; population; and USA.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.

Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month and shows MSOAs (Middle Layer Super Output Areas) at the 2021 Census Geography.

Data showing deprivation levels across different Birmingham Wards, using three key indices: the Index of Multiple Deprivation (IMD), the Income Deprivation Affecting Children Index (IDACI), and the Income Deprivation Affecting Older People Index (IDAOPI). These indices are integral components in understanding socio-economic conditions, enabling insights into how deprivation affects various age groups and areas.Index of Multiple Deprivation (IMD): IMD is a composite measure that ranks areas based on seven domains of deprivation: income, employment, education, health, crime, housing, and living environment. It offers a broad overview of deprivation at a small-area level. This is shown as a rank from 1-69 with 1 being the most deprived.IMD 2019 Decile: Where 1 is 10% Most Deprived Nationally. This is an indication of the wards financial resilience.Income Deprivation Affecting Children Index (IDACI): IDACI focuses specifically on income deprivation among children. It measures the proportion of children aged 0-15 living in income-deprived households, reflecting the impact of poverty on young people.Income Deprivation Affecting Older People Index (IDAOPI): IDAOPI targets income deprivation among the elderly. It calculates the proportion of people aged 60 and over living in income-deprived households, providing insight into how economic disadvantage affects older populations.Data is update irregularly with the next release scheduled for late 2025.Mapping tipsWhen using the build a map page you should use the Color by category map type when visualising the IMD score.A good resource for custom colours for each decile is ColorBrewer.