In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

For LGBTQ home seekers in the United States in 2021, the most affordable gay-friendly city was Pittsburgh with a median list price for houses of about *** thousand U.S. dollars. Long Beach in California held the ***** position among gay-friendly cities with affordable housing with a house price of *** thousand U.S. dollars which was almost *** times as expensive as Pittsburgh. The source defines LGBTQ friendly cities as cities situated in states with at least *** married or co-habitating same-sex couples per 1,000 residents that also had a score of 100 on the Human Rights Campaign’s annual Municipal Equality Index.

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance. Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.) in 2021 for the total, male and female populations.

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

The US Family Budget Dataset provides insights into the cost of living in different US counties based on the Family Budget Calculator by the Economic Policy Institute (EPI).

This dataset offers community-specific estimates for ten family types, including one or two adults with zero to four children, in all 1877 counties and metro areas across the United States.

Interesting Task Ideas:

1. See how family budgets compare to the federal poverty line and the Supplemental Poverty Measure in different counties.
2. Look into the money challenges faced by different types of families using the budgets provided.
3. Find out which counties have the most affordable places to live, food, transportation, healthcare, childcare, and other things people need.
4. Explore how the average income of families relates to the overall cost of living in different counties.
5. Investigate how family size affects the estimated budget and find counties where bigger families have higher costs.
6. Create visuals showing how the cost of living varies across different states and big cities.
7. Check whether specific counties are affordable for families of different sizes and types.
8. Use the dataset to compare living standards and economic security in different US counties.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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United States US: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 15.500 % in 2021. This records a decrease from the previous number of 17.000 % for 2020. United States US: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 17.700 % from Dec 1963 (Median) to 2021, with 59 observations. The data reached an all-time high of 19.000 % in 1993 and a record low of 15.500 % in 2021. United States US: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Link to this report's codebookExecutive SummaryThe United Nations’s Sustainable Development Goals (SDGs) are a useful framework for collaboration because they are shared and supported by all 193 member countries of the UN. They provide a useful framework for sustainability because they require interdisciplinary and intersectoral collaboration. Therefore, understanding US state policy through the lens of the SDGs both connects state efforts to broader, international movements for an environmentally, socially, and economically just world, and supports an interdisciplinary approach to understanding state progress.To facilitate states and the communities that live in them in leveraging this framework, SDSN tracks SDG progress at the state level. This year, SDSN has expanded on its 2018 report to include information on if, and how quickly, states are approaching SDG achievement. With nine years to go before the 2030 Goals deadline, on average US states are less than halfway to achieving the SDGs. The report finds:States are not improving quickly enough to meet the SDGs by 2030 and at least 20 percent of indicators in every state are going in the wrong direction. US states are not doing what needs to be done to protect the environment, end inequality, or provide for healthy lives, among other things. In contrast to so many other places around the globe where progress is visible, US states are getting worse across a myriad of areas.Inequalities are deeply entrenched across US states. Twenty percent of the indicators used in this report measure how states were delivering aspects of sustainable development to excluded communities. Those indicators were among the poorest performers in the report, several of which were getting worse.Preliminary results show that COVID-19 has increased challenges to SDG delivery and its impacts underline the need for universal health coverage and universal access to key social and physical infrastructure. COVID-19 stay at home orders highlighted the disparity in access to adequate and affordable housing. Racial inequality in homelessness is so prevalent that every state scored a zero (out of a possible 100 points). Many US residents still do not have access to adequate healthcare, broadband, food, and employment. These systems required intervention before the pandemic: the situation is now even more urgent.Environmental justice efforts show a path forward through Black and Indigenous and other excluded community-led efforts. Lack of state action on climate change is putting all at risk. Excluded communities are already bearing the burden of inaction.Excluded communities have also demonstrated the ability to address both inequality and environmental impacts, and provide crucial leadership on a sustainable path forward.Data gaps, time lags, and lack of disaggregated data highlight the need for improvement in statistical capacity and new approaches to monitor SDG achievement. State-level data is missing on essential topics such as lead in water and outcomes for people with disabilities. Other areas, particularly those focused on justice and state violence, are woefully out of date and/or the official records are incomplete. Proper and safe stewardship of personal data and careful maintenance of data sovereignty must also be held in balance as data collection and demands grow. The SDGs provide a framework to advocate for a better world. Timely, disaggregated, boundaried, and complete data are essential to complete that aim.The SDGs were agreed upon at the national level, but local action is essential to their achievement. Universities, like those organized by SDSN’s network teams, have essential roles to play in fostering collaboration and local action, and providing technical expertise to community-led efforts. Tools for measuring SDG achievement have also been powerful ways to unite diverse stakeholders in goal setting and to drive accountability. Voluntary Local Reviews (VLRs), Voluntary University Reviews (VURs), and data dashboards like the open-source version provided by SDSN, can also be powerful tools for SDG achievement. The changes necessary to move the states to SDG achievement over the next nine years will need to be bold and courageous; that action is only possible through collaboration. It is possible to achieve these Goals, but business as usual won’t be nearly enough.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

Armenia Imports from United States of Live animals was US$751 during 2021, according to the United Nations COMTRADE database on international trade. Armenia Imports from United States of Live animals - data, historical chart and statistics - was last updated on June of 2025.

Ukraine Imports from United States of Live animals was US$519.65 Thousand during 2021, according to the United Nations COMTRADE database on international trade. Ukraine Imports from United States of Live animals - data, historical chart and statistics - was last updated on July of 2025.

Mauritania Imports from United States of Live animals was US$3.47 Thousand during 2021, according to the United Nations COMTRADE database on international trade. Mauritania Imports from United States of Live animals - data, historical chart and statistics - was last updated on July of 2025.

Russia Imports from United States of Live animals was US$6.62 Million during 2021, according to the United Nations COMTRADE database on international trade. Russia Imports from United States of Live animals - data, historical chart and statistics - was last updated on June of 2025.

Trinidad And Tobago Imports from United States of Sheep and goats, live was US$56.47 Thousand during 2021, according to the United Nations COMTRADE database on international trade. Trinidad And Tobago Imports from United States of Sheep and goats, live - data, historical chart and statistics - was last updated on June of 2025.

United States Life Insurers: Premium Receipts: Net Business: Health Insurance: Credit data was reported at 633.000 USD mn in 2021. This records a decrease from the previous number of 665.000 USD mn for 2020. United States Life Insurers: Premium Receipts: Net Business: Health Insurance: Credit data is updated yearly, averaging 725.000 USD mn from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 1.546 USD bn in 2001 and a record low of 633.000 USD mn in 2021. United States Life Insurers: Premium Receipts: Net Business: Health Insurance: Credit data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG005: Life Insurance: Premium Receipts.

About this dataset

Context

The dataset tabulates the United States population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for United States. The dataset can be utilized to understand the population distribution of United States by age. For example, using this dataset, we can identify the largest age group in United States.

Key observations

The largest age group in United States was for the group of age 25-29 years with a population of 22,854,328 (6.93%), according to the 2021 American Community Survey. At the same time, the smallest age group in United States was the 80-84 years with a population of 5,932,196 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the United States is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of United States total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for United States Population by Age. You can refer the same here

United States Imports: Malaysia: Live Animals data was reported at 0.016 USD mn in Jan 2025. This records a decrease from the previous number of 0.018 USD mn for Dec 2024. United States Imports: Malaysia: Live Animals data is updated monthly, averaging 0.014 USD mn from Jan 2002 (Median) to Jan 2025, with 242 observations. The data reached an all-time high of 0.079 USD mn in Oct 2005 and a record low of 0.002 USD mn in Nov 2021. United States Imports: Malaysia: Live Animals data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA157: Imports: HS: Malaysia.