Graph and download economic data for Unemployment Rate - College Graduates - Professional Degree, 25 to 34 years (CGPD2534) from Jan 2000 to Apr 2025 about professional degree, 25 to 34 years, professional, tertiary schooling, education, unemployment, rate, and USA.

Graph and download economic data for Unemployment Rate - College Graduates - Bachelor's Degree and Higher, 20 to 24 years (CGRA2024) from Jan 2000 to May 2025 about 20 to 24 years, tertiary schooling, education, unemployment, rate, and USA.

United States Unemployment Rate: Age 25 & Over: High School Graduate Only data was reported at 3.800 % in Oct 2018. This records an increase from the previous number of 3.500 % for Sep 2018. United States Unemployment Rate: Age 25 & Over: High School Graduate Only data is updated monthly, averaging 5.100 % from Jan 1992 (Median) to Oct 2018, with 322 observations. The data reached an all-time high of 11.900 % in Mar 2010 and a record low of 3.000 % in Oct 1999. United States Unemployment Rate: Age 25 & Over: High School Graduate Only data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G018: Current Population Survey: Unemployment Rate.

Unemployment Rate in Japan remained unchanged at 2.50 percent in April. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in China decreased to 5.10 percent in April from 5.20 percent in March of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment: sa: Age 25 & Over: High School Graduate Only data was reported at 1,454.000 Person th in Oct 2018. This records an increase from the previous number of 1,351.000 Person th for Sep 2018. Unemployment: sa: Age 25 & Over: High School Graduate Only data is updated monthly, averaging 1,863.000 Person th from Jan 1992 (Median) to Oct 2018, with 322 observations. The data reached an all-time high of 4,309.000 Person th in Mar 2010 and a record low of 1,217.000 Person th in Nov 1999. Unemployment: sa: Age 25 & Over: High School Graduate Only data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G017: Current Population Survey: Unemployment: Seasonally Adjusted.

Opioid Data Description

Land Area of County: factfinder.census.gov 2010 Census Summary 1890 counties are taken under consideration

Year: 2011- 2017

Population: https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html#par_textimage_70769902 Annual Estimates of the Resident Population for Counties: April 1, 2010 to July 1, 2018

Death by Opioid Type: https://wonder.cdc.gov/ The mortality data are based on information from all death certificates filed in the fifty states all sub-national data representing zero to nine (0-9) deaths are suppressed.

601 counties had the minimum mortality rate to be represented for analysis and were pulled from the WONDER database. These were the recommended codes to use when relating to Opioid deaths provided by the CDC.

Type of death: T40.0 (Opium) – No county reached the number of deaths above 9 per year to not be suppressed when finding specific cause T40.1 (Heroin) T40.2 (Other opioids) T40.3 (Methadone) T40.4 (Other synthetic narcotics) From the CDC Wonder Database. Type of death by county will not add up to total mortality due to the fact that low death rate of a county was withheld from data to protect privacy of individuals.

Non-US Born: factfinder.census.gov American Community Survey 5-Year Estimates The total number of Non-Us born citizens that reside in each county

Education: factfinder.census.gov American Community Survey 5-Year Estimates Categories Consist of: Less Than High School Degree Some College or Associate’s Degree Bachelor’s Degree Graduate or Professional Degree

Income by Household: factfinder.census.gov American Community Survey 5-Year Estimates Incomes given by the mean household income in that county

Transportation: Percentage of County that uses these means of transportation to get to work. American Community Survey 5-Year Estimates Categories Consist of: Commute Alone to work by driving Carpool Walk Public Transit Bike

Unemployment Rate by county collected from: https://catalog.data.gov/dataset?tags=unemployment-rate

GDP by county in regards to funds spent on healthcare, education, and social assistance as well as overall GDP collected from: https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas

Unemployment Rate for Persons with Advanced Education in Latin America by Country, 2023 Discover more data with ReportLinker!

Unemployment Rate in India decreased to 7.90 percent in February from 8.20 percent in January of 2025. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The unemployment rate of the United Kingdom was 4.5 percent in March 2025, an increase from the previous month. Before the arrival of the COVID-19 pandemic, the UK had relatively low levels of unemployment, comparable with the mid-1970s. Between January 2000 and the most recent month, unemployment was highest in November 2011 when the unemployment rate hit 8.5 percent. Will unemployment continue to rise in 2025? Although low by historic standards, there has been a noticeable uptick in the UK's unemployment rate, with other labor market indicators also pointing to further loosening. In December 2024, the number of job vacancies in the UK, fell to its lowest level since May 2021, while payrolled employment declined by 47,000 compared with November. Whether this is a continuation of a broader cooling of the labor market since 2022, or a reaction to more recent economic developments, such as upcoming tax rises for employers, remains to be seen. Forecasts made in late 2024 suggest that the unemployment rate will remain relatively stable in 2025, averaging out at 4.1 percent, and falling again to four percent in 2026.
Demographics of the unemployed As of the third quarter of 2024, the unemployment rate for men was slightly higher than that of women, at 4.4 percent, compared to 4.1 percent. During the financial crisis at the end of the 2000s, the unemployment rate for women peaked at a quarterly rate of 7.7 percent, whereas for men, the rate was 9.1 percent. Unemployment is also heavily associated with age, and young people in general are far more vulnerable to unemployment than older age groups. In late 2011, for example, the unemployment rate for those aged between 16 and 24 reached 22.3 percent, compared with 8.2 percent for people aged 25 to 34, while older age groups had even lower peaks during this time.

Data SourcesAmerican Community Survey (ACS):Conducted by: U.S. Census BureauDescription: The ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.Content: The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.Frequency: The ACS offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.Purpose: 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)Utilized by: CDCDescription: The SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.Content: 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.Purpose: SVI data provides insights into the social vulnerability of communities at both the tract and zip code levels, helping public health officials and emergency response planners allocate resources effectively.Utilization and IntegrationBy integrating data from both the ACS and the SVI, this dataset enables an in-depth analysis and understanding of various socio-economic and demographic indicators at the census tract level. This integrated data is 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.ApplicationsTargeted Interventions: Facilitates the development of targeted interventions to address the needs of vulnerable populations within specific zip codes.Resource Allocation: Assists emergency response planners in allocating resources more effectively based on community vulnerability at the zip code level.Research: Provides a rich dataset for academic and applied research in socio-economic and demographic studies at a granular zip code level.Community Planning: Supports the planning and development of community programs and initiatives aimed at improving living conditions and reducing vulnerabilities within specific zip code areas.Note: Due to limitations in the data environment, variable names may be truncated. Refer to the provided table for a clear understanding of the variables. CSV 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, 2013-2017 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, 2013-2017 ACSEP_PCIEP_PCIPer capita income estimate, 2013-2017 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2013-2017 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2013-2017 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2013-2017 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2013-2017 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 computerThis table provides a mapping between the CSV variable names and the shapefile variable names, along with a brief description of each variable.

MY: GDP per Person Employed: 2011 PPP data was reported at 55,527.586 Intl $ in 2017. This records an increase from the previous number of 54,809.391 Intl $ for 2016. MY: GDP per Person Employed: 2011 PPP data is updated yearly, averaging 44,194.355 Intl $ from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 55,527.586 Intl $ in 2017 and a record low of 29,676.045 Intl $ in 1991. MY: GDP per Person Employed: 2011 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2011 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

Unemployment Rate in Botswana decreased to 23.10 percent in 2024 from 23.40 percent in 2023. This dataset provides - Botswana Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.