This statistic shows the hourly wage needed to earn a living wage in the United States in 2014, by state. In 2014, a living wage in Alabama was ***** U.S. dollars per hour.

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

This statistic shows the share of job openings in the United States paying greater than a living wage in 2014, by state. In 2014, **** percent of job openings in Alabama paid more than a living wage.

Percent of households earning above and below living wage by race/ethnicity in New Orleans, 2016. Annual living wage for 1 Adult 1 Child in New Orleans is $47,611. These data represent households earning less than $45,000.

The federally mandated minimum wage in the United States is 7.25 U.S. dollars per hour, although the minimum wage varies from state to state. As of January 1, 2025, the District of Columbia had the highest minimum wage in the U.S., at 17.5 U.S. dollars per hour. This was followed by Washington, which had 16.66 U.S. dollars per hour as the state minimum wage. Minimum wage workers Minimum wage jobs are traditionally seen as “starter jobs” in the U.S., or first jobs for teenagers and young adults, and the number of people working minimum wage jobs has decreased from almost four million in 1979 to about 247,000 in 2020. However, the number of workers earning less than minimum wage in 2020 was significantly higher, at about 865,000. Minimum wage jobs Minimum wage jobs are primarily found in food preparation and serving occupations, as well as sales jobs (primarily in retail). Because the minimum wage has not kept up with inflation, nor has it been increased since 2009, it is becoming harder and harder live off of a minimum wage wage job, and for those workers to afford essential things like rent.

This feature layer comprises six U.S. counties that have implemented local minimum wages. Attributes include the 2018 minimum wage, any future increases to the minimum wage, the living wage (2016 update, state level, single adult), and the date of minimum wage policy implementation, among other attributes. This layer uses the composite geographies layout in order to position Alaska and Hawaii adjacent to the contiguous U.S. Data was digitized from the U.C. Berkeley Labor Center; living wage data was provided by MIT's Living Wage Calculator.

Field Unit Description

AFFGEOID Text County GEOID

STATEFP Integer State FIPS Code (number)

STABBR Text State Abbreviation

State Text State Name

Locality Text County Name

PrevMW US Dollars Previous minimum wage at the time of implementing a locality minimum wage

PolicyStart Year Start year for implementing locality minimum wage

MW2018 US Dollars 2018 Locality Minimum Wage

DateMW2018 M/D/Y Date of implementation for 2018 locality minimum wage

HighestMW US Dollars Highest planned locality minimum wage

DateHighest Year Year of achieving highest locality minimum wage

AboveStateMW US Dollars (difference) Dollar value that locality minimum wage is above the state minimum wage (MW2018-StateMW2018)

StateMW2018 US Dollars 2018 State Minimum Wage

BelowLV2016 US Dollars (difference) Difference between locality minimum wage and 2016 state living wage (LV2016-MW2018); positive values are below the living wage, negative values are above the living wage

LV2016 US Dollars Living Wage (2016 Update)

Analysis of ‘Living Wage - Top 100 Cities’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/brandonconrady/living-wage-top-100-cities on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Content

Data was pulled from a table in the following Wikipedia article: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population I used Microsoft Excel's PowerQuery function to pull the table from Wikipedia. Lists each city, its rank (based on 2020 population), some data on its area, and population in both 2020 and 2010.

Living wages are based in US Dollars per hour, assuming 2080 hours worked per year.

In addition, living wage data from http://livingwage.mit.edu I left out the minimum wage from this dataset because it appears the data is somewhat inconsistent, and often falls back on the state minimum where localities can have a higher min wage. I also omitted the poverty wage data because for the most part it seemed to be the same for most areas. One last thing to keep in mind is some cities are grouped up into metropolitan statistical areas, and as a result you will see cities that are near each other have identical data.

Banner image source: https://unsplash.com/photos/wh-7GeXxItI

--- Original source retains full ownership of the source dataset ---

This map compares the number of people living above the poverty line to the number of people living below. Why do this?There are people living below the poverty line everywhere. Nearly every area of the country has a balance of people living above the poverty line and people living below it. There is not an "ideal" balance, so this map makes good use of the national ratio of 6 persons living above the poverty line for every 1 person living below it. Please consider that there is constant movement of people above and below the poverty threshold, as they gain better employment or lose a job; as they encounter a new family situation, natural disaster, health issue, major accident or other crisis. There are areas that suffer chronic poverty year after year. This map does not indicate how long people in the area have been below the poverty line. "The poverty rate is one of several socioeconomic indicators used by policy makers to evaluate economic conditions. It measures the percentage of people whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs." Source: U.S. Census BureauIn the U.S. overall, there are 6 people living above the poverty line for every 1 household living below. Green areas on the map have a higher than normal number of people living above compared to below poverty. Orange areas on the map have a higher than normal number of people living below the poverty line compared to those above in that same area.The map shows the ratio for counties and census tracts, using these layers, created directly from the U.S. Census Bureau's American Community Survey (ACS)For comparison, an older layer using 2013 ACS data is also provided.The layers are updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey. Current Vintage: 2014-2018ACS Table(s): B17020Data downloaded from: Census Bureau's API for American Community Survey National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

This feature layer consists of the contiguous United States and District of Columbia, with Alaska and Hawaii. It comprises state minimum wage data for 2018, as well as historical data since 1968, and future data where available. The data was compiled from the U.S. Department of Labor, the National Conference of State Legislatures, and the U.C. Berkeley Labor Center, with living wage data from MIT's Living Wage Calculator. This layer uses the composite geographies layout to position Alaska and Hawaii adjacent to the contiguous United States.Attributes:

Field Name Unit Description

PeakMW Nominal dollar value Highest minimum wage value planned to be reached in future years (2019-2022)

PeakYR Year The year that the highest minimum wage value is planned to be reached (2019-2022)

DiffPeak2018 Nominal dollar value (difference) The difference between the peak minimum wage and the 2018 minimum wage (PeakMW - DiffPeak2018)

MW2018 Nominal dollar value 2018 state minimum wage

Increase2017 Nominal dollar value (difference) The difference between the 2018 minimum wage and the 2017 minimum wage (MW2018 - MW2017)

Increase2000 2017 dollar value (difference) The difference between the 2018 minimum wage and the 2000 minimum wage (MW2018-MW2000)

Effective2018 Nominal dollar value The minimum wage effective in 2018. For states with minimum wages below the federal minimum wage of $7.25, or for states that have no minimum wage requirement, the federal minimum wage applies.

LV2016 Nominal dollar value 2016 living wage for a single adult at the state level

DiffMWLV Nominal dollar value (difference) The difference between the 2018 minimum wage and the 2016 living wage

CurrentMW Category The type of minimum wage policy in place at the state level

PoliciesMW Text When a state has an indexed minimum wage, the type of policy is described here

Update2018 Category Yes = the state implemented an update to its minimum wage in 2018; No = no policy update in 2018

MW2017 Nominal dollar value 2017 minimum wage

MW2016 2017 dollar value 2016 minimum wage, adjusted for inflation to 2017 dollars

MW2015 2017 dollar value 2015 minimum wage, adjusted for inflation to 2017 dollars

MW2014 2017 dollar value 2014 minimum wage, adjusted for inflation to 2017 dollars

MW2013 2017 dollar value 2013 minimum wage, adjusted for inflation to 2017 dollars

MW2012 2017 dollar value 2012 minimum wage, adjusted for inflation to 2017 dollars

MW2011 2017 dollar value 2011 minimum wage, adjusted for inflation to 2017 dollars

MW2010 2017 dollar value 2010 minimum wage, adjusted for inflation to 2017 dollars

MW2009 2017 dollar value 2009 minimum wage, adjusted for inflation to 2017 dollars

MW2008 2017 dollar value 2008 minimum wage, adjusted for inflation to 2017 dollars

MW2007 2017 dollar value 2007 minimum wage, adjusted for inflation to 2017 dollars

MW2006 2017 dollar value 2006 minimum wage, adjusted for inflation to 2017 dollars

MW2005 2017 dollar value 2005 minimum wage, adjusted for inflation to 2017 dollars

MW2004 2017 dollar value 2004 minimum wage, adjusted for inflation to 2017 dollars

MW2003 2017 dollar value 2003 minimum wage, adjusted for inflation to 2017 dollars

MW2002 2017 dollar value 2002 minimum wage, adjusted for inflation to 2017 dollars

MW2001 2017 dollar value 2001 minimum wage, adjusted for inflation to 2017 dollars

MW2000 2017 dollar value 2000 minimum wage, adjusted for inflation to 2017 dollars

MW1998 2017 dollar value 1998 minimum wage, adjusted for inflation to 2017 dollars

MW1997 2017 dollar value 1997 minimum wage, adjusted for inflation to 2017 dollars

MW1996 2017 dollar value 1996 minimum wage, adjusted for inflation to 2017 dollars

MW1994 2017 dollar value 1994 minimum wage, adjusted for inflation to 2017 dollars

MW1992 2017 dollar value 1992 minimum wage, adjusted for inflation to 2017 dollars

MW1991 2017 dollar value 1991 minimum wage, adjusted for inflation to 2017 dollars

MW1988 2017 dollar value 1988 minimum wage, adjusted for inflation to 2017 dollars

MW1981 2017 dollar value 1981 minimum wage, adjusted for inflation to 2017 dollars

MW1980 2017 dollar value 1980 minimum wage, adjusted for inflation to 2017 dollars

MW1979 2017 dollar value 1979 minimum wage, adjusted for inflation to 2017 dollars

MW1976 2017 dollar value 1976 minimum wage, adjusted for inflation to 2017 dollars

MW1972 2017 dollar value 1972 minimum wage, adjusted for inflation to 2017 dollars

MW1970 2017 dollar value 1970 minimum wage, adjusted for inflation to 2017 dollars

MW1968 2017 dollar value 1968 minimum wage, adjusted for inflation to 2017 dollars

Total number and percent of jobs in Pierce County with an annual average wage at or above 80% of the median household income for the corresponding year for Pierce County.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for York County, ME (MWACL23031) from 2009 to 2023 about York County, ME; Portland; ME; adjusted; average; wages; real; and USA.

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

12,84 (US dollar) in 2022. The living wage shown is the hourly rate that an individual must earn to support their family, if they are the sole provider and are working full-time (2080 hours per year).

This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

This collection contains data obtained from families of wage earners or salaried workers in industrial locales scattered throughout the United States. The purpose of the survey was to estimate the cost of living of a "typical" American family. The completed questionnaires contain information about income sources and family expenditures including specific quantities and costs of food, housing, clothing, fuel, furniture, and miscellaneous household items for the calendar year. Demographic characteristics recorded for each household member include relationship to head, age, sex, occupation, weeks spent in the household and employed, wage rate, and total earnings.

17.74 (US dollar) in 2022. The living wage shown is the hourly rate that an individual must earn to support their family, if they are the sole provider and are working full-time (2080 hours per year).

The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.Some new variables in the 2022 Rankings data compared to previous versions:COVID-19 age-adjusted mortalitySchool segregationSchool funding adequacyGender pay gapChildcare cost burdenChildcare centersLiving wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).Data Processing Notes:Data downloaded April 2022Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Ratios were set to null if negative to make them easier to work with in the map.For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Denver County, CO (MWACL08031) from 2009 to 2023 about Denver County, CO; Denver; adjusted; CO; average; wages; real; and USA.

This dataset provides annual numbers for each state in the United States for 2013-2018. Includes the following data: total population, median income, and number of people living at or below the poverty level.

Helpful information on using U.S. Census data is found at https://censusreporter.org/