Graph and download economic data for Market Hotness: Hotness Rank in Oklahoma County, OK (HORACOUNTY40109) from Aug 2017 to Aug 2025 about Oklahoma County, OK; Oklahoma City; rank; OK; and USA.

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.

Market Hotness: Hotness Rank in Oklahoma City, OK (CBSA) was -27.00000 Rank Chg. from Yr. Ago in July of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Hotness Rank in Oklahoma City, OK (CBSA) reached a record high of 162.00000 in May of 2021 and a record low of -68.00000 in March of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Hotness Rank in Oklahoma City, OK (CBSA) - last updated from the United States Federal Reserve on September of 2025.

Market Hotness: Hotness Rank in Oklahoma County, OK was 912.00000 Rank Chg. in July of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Hotness Rank in Oklahoma County, OK reached a record high of 1265.00000 in June of 2022 and a record low of 41.00000 in July of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Hotness Rank in Oklahoma County, OK - last updated from the United States Federal Reserve on August of 2025.

Market Hotness: Hotness Rank in Oklahoma County, OK was -60.00000 Rank Chg. from Yr. Ago in July of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Hotness Rank in Oklahoma County, OK reached a record high of 835.00000 in May of 2021 and a record low of -212.00000 in May of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Hotness Rank in Oklahoma County, OK - last updated from the United States Federal Reserve on September of 2025.

we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI).American Community Survey (ACS):Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.

we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI). American Community Survey (ACS):

Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States. The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions. It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households. The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.

CDC/ATSDR Social Vulnerability Index (SVI):

Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events. SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability. SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively.

In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States

Note: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variablesCSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEP_PCIEP_PCIPer capita income estimate, 2014-2018 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2014-2018 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2014-2018 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

Market Hotness: Nielsen Household in Oklahoma City, OK (CBSA) was 42.00000 Rank in April of 2024, according to the United States Federal Reserve. Historically, Market Hotness: Nielsen Household in Oklahoma City, OK (CBSA) reached a record high of 42.00000 in August of 2017 and a record low of 41.00000 in August of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Nielsen Household in Oklahoma City, OK (CBSA) - last updated from the United States Federal Reserve on August of 2025.

Graph and download economic data for Market Hotness: Nielsen Household Rank in Oklahoma City, OK (CBSA) (NIHHRAMSA36420) from Aug 2017 to Apr 2024 about nielsen, Oklahoma City, rank, OK, households, and USA.

Graph and download economic data for Market Hotness: Nielsen Household Rank in Canadian County, OK (NIHHRACOUNTY40017) from Aug 2017 to Jul 2024 about Canadian County, OK; nielsen; Oklahoma City; rank; OK; households; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Cleveland County, OK (HORAYYCOUNTY40027) from Aug 2018 to Aug 2025 about Cleveland County, OK; Oklahoma City; rank; OK; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Canadian County, OK (HORACOUNTY40017) from Aug 2017 to Jul 2025 about Canadian County, OK; rank; Oklahoma City; OK; and USA.

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 Market Hotness: Nielsen Household Rank in Grady County, OK (NIHHRACOUNTY40051) from Aug 2017 to Jul 2024 about Grady County, OK; nielsen; Oklahoma City; rank; OK; households; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Grady County, OK (HORAYYCOUNTY40051) from Aug 2018 to Aug 2025 about Grady County, OK; Oklahoma City; rank; OK; and USA.

Graph and download economic data for Market Hotness: Nielsen Household Rank in Cleveland County, OK (NIHHRACOUNTY40027) from Aug 2017 to Jul 2024 about Cleveland County, OK; nielsen; Oklahoma City; rank; OK; households; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Washington County, OK (HORAYYCOUNTY40147) from Aug 2018 to Aug 2025 about Washington County, OK; rank; OK; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Cherokee County, OK (HORACOUNTY40021) from Aug 2017 to Aug 2025 about Cherokee County, OK; rank; OK; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Osage County, OK (HORACOUNTY40113) from Aug 2017 to Aug 2025 about Osage County, OK; rank; Tulsa; OK; and USA.

Graph and download economic data for Market Hotness: Hotness Rank in Creek County, OK (HORAYYCOUNTY40037) from Aug 2018 to Aug 2025 about Creek County, OK; Tulsa; rank; OK; and USA.