Globally, the gap between the richest and poorest population is widening, and United States of America is no exception. Waldo Tobler's First Law of Geography states that near things are more related than distant things, which can sometimes be seen within a map as clustering of features. Use this map to explore the distribution of households within the income extremes.The app allows the user to explore an area by typing an area of interest into the search bar. Dot density is used to represent multiple households per dot and are contained within census tract boundaries. A pop-up appears at larger scales in order to provide a chart comparing the household count for the highest and lowest income ranges. The highest income range covers households which make $200,000 or more a year. The lowest income range shows households making less than $25,000 a year. The map is shown from 36M scale to 72K scale and is designed to be displayed on the Dark Gray Canvas Basemap.The data within this map comes from Esri's Updated Demographics. The vintage of the data and boundaries is 2015.

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

In 2025, nearly 11.7 percent of the world population in extreme poverty, with the poverty threshold at 2.15 U.S. dollars a day, lived in Nigeria. Moreover, the Democratic Republic of the Congo accounted for around 11.7 percent of the global population in extreme poverty. Other African nations with a large poor population were Tanzania, Mozambique, and Madagascar. Poverty levels remain high despite the forecast decline Poverty is a widespread issue across Africa. Around 429 million people on the continent were living below the extreme poverty line of 2.15 U.S. dollars a day in 2024. Since the continent had approximately 1.4 billion inhabitants, roughly a third of Africa’s population was in extreme poverty that year. Mozambique, Malawi, Central African Republic, and Niger had Africa’s highest extreme poverty rates based on the 2.15 U.S. dollars per day extreme poverty indicator (updated from 1.90 U.S. dollars in September 2022). Although the levels of poverty on the continent are forecast to decrease in the coming years, Africa will remain the poorest region compared to the rest of the world. Prevalence of poverty and malnutrition across Africa Multiple factors are linked to increased poverty. Regions with critical situations of employment, education, health, nutrition, war, and conflict usually have larger poor populations. Consequently, poverty tends to be more prevalent in least-developed and developing countries worldwide. For similar reasons, rural households also face higher poverty levels. In 2024, the extreme poverty rate in Africa stood at around 45 percent among the rural population, compared to seven percent in urban areas. Together with poverty, malnutrition is also widespread in Africa. Limited access to food leads to low health conditions, increasing the poverty risk. At the same time, poverty can determine inadequate nutrition. Almost 38.3 percent of the global undernourished population lived in Africa in 2022.

This map compares the relationship between annual average particulate matter 2.5 (PM 2.5) air quality data for the US between 1998 and 2016 to the percent of households that are below the poverty level. Poverty data is from the American Community Survey estimates and air quality data is from NASA SEDAC gridded data aggregated to states, counties, congressional districts, and 50km hex bins. Click on the map to view more information such as the trend over time.
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This map overlays private and public schools with broadband accessibility. The areas in red highlight unserved, or underserved areas in regards to broadband availability. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. The schools layers come from National Center for Educational Statistics (NCES) Living Atlas layers which can be used in any map. The broadband Living Atlas layer used in this map is a composite of five sublayers with adjacent scale ranges showing the broadband score across the U.S. and outlying areas, at five different geographies – State, County, Tract, Block Group and Block. The vintage of the FCC data is June 2021. Each type of geometry contains housing, population, and internet usage data taken from the following sources:US Census Bureau 2010 Census data US Census Bureau American Community Survey (ACS) 5-year estimates USDA Non-Rural Areas FCC Form 477 Fixed Broadband Deployment Data FCC Population, Housing Unit, and Household Estimates. Note that these are derived from Census and other data.Broadband offering data from each provider for Census Blocks are in a related table. Field Names / Record StructureThis layer includes over 150 attributes relating to reported speed and service information. In addition:Each block includes housing unit, household, and population estimates from the FCC.Each block has an attribute named WaterOnly that indicates if it is entirely water (yes/no).Each block has two attributes indicating whether it is urban or rural (CensusUrbanRural and USDAUrbanRural). For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S.Each block has three attributes indicating whether it is part of a Tribal Block Group, is part of an American Indian/Alaska Native/Native Hawaiian Area (AIANNHA) and the AIANNHA name.US Census and USDA Rurality valuesAmalgamated broadband speed measurement categories based on Form 477. These include:99: All Terrestrial Broadband Plus Satellite98: All Terrestrial Broadband97: Cable Modem96: DSL95: All Other (Electric Power Line, Other Copper Wireline, Other)Additional ResourcesForm 477 ResourcesSource Data (Broadband Deployment Data FCC Form 477)Changes to Form 477 in 2019 and 2020More Living Atlas broadband GIS content can be found here.

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This is a ArcGIS StoryMap Collection that was compiled from the Esri Maps for Public Policy site to show successful examples of policy maps. Browse each item to see examples of different types of policy maps, and learn how each map clearly shows areas to intervene.Items included:Where are schools that fall within areas of poor broadband/internet?Black or African American Population without Health InsuranceIncluding Transportation Costs in Location AffordabilityWhich areas with poor air quality also have higher populations of people of color?Grocery Store AccessSchool District Characteristics and Socioeconomic InformationWhat is the most frequently occurring fire risk?Up and Down COVID-19 TrendsWhere are the highest and lowest incomes in the US?Top 10 Most Job Accessible Cities in the U.S.Los Angeles County Homelessness & Housing MapHow the Age of Housing Impacts AffordabilityStudent Loans or Mortgage? Young Adults Can't Afford Both.You Can Get a Bachelor's at Some Community Colleges