16 datasets found
  1. F

    Real Median Household Income in New York

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2024
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    (2024). Real Median Household Income in New York [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSNYA672N
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    jsonAvailable download formats
    Dataset updated
    Sep 11, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    New York
    Description

    Graph and download economic data for Real Median Household Income in New York (MEHOINUSNYA672N) from 1984 to 2023 about NY, households, median, income, real, and USA.

  2. i

    Richest Zip Codes in New York

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in New York [Dataset]. https://www.incomebyzipcode.com/newyork
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    New York
    Description

    A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

  3. f

    Data_Sheet_2_High-income ZIP codes in New York City demonstrate higher case...

    • frontiersin.figshare.com
    application/csv
    Updated Jun 20, 2024
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    Steven T. L. Tung; Mosammat M. Perveen; Kirsten N. Wohlars; Robert A. Promisloff; Mary F. Lee-Wong; Anthony M. Szema (2024). Data_Sheet_2_High-income ZIP codes in New York City demonstrate higher case rates during off-peak COVID-19 waves.CSV [Dataset]. http://doi.org/10.3389/fpubh.2024.1384156.s002
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    application/csvAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Frontiers
    Authors
    Steven T. L. Tung; Mosammat M. Perveen; Kirsten N. Wohlars; Robert A. Promisloff; Mary F. Lee-Wong; Anthony M. Szema
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York
    Description

    IntroductionOur study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic.MethodsNew York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022.ResultsCOVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes.DiscussionThis study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.

  4. d

    NYC Mobile Services Study

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Sep 2, 2023
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    data.cityofnewyork.us (2023). NYC Mobile Services Study [Dataset]. https://catalog.data.gov/dataset/nyc-mobile-services-study
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    The New York City Department of Consumer and Worker Protection's Office of Financial Empowerment (OFE) published a research study in 2015, evaluating the use of mobile financial services to establish patterns of use among low and middle income New Yorkers. The purpose of this exploration was to analyze the needs, barriers, and opportunities to increase financial inclusion through mobile financial services use. The published report can be found here: https://www1.nyc.gov/assets/dca/MobileServicesStudy/Research-Brief.pdf

  5. A

    ‘NYC Mobile Services Study’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘NYC Mobile Services Study’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-nyc-mobile-services-study-c633/ec8b4a12/?iid=001-653&v=presentation
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    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York
    Description

    Analysis of ‘NYC Mobile Services Study’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/900caff1-c3af-4245-b9a6-0bbbc5f76eb1 on 13 February 2022.

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

    The New York City Department of Consumer and Worker Protection's Office of Financial Empowerment (OFE) published a research study in 2015, evaluating the use of mobile financial services to establish patterns of use among low and middle income New Yorkers. The purpose of this exploration was to analyze the needs, barriers, and opportunities to increase financial inclusion through mobile financial services use.

    The published report can be found here: https://www1.nyc.gov/assets/dca/MobileServicesStudy/Research-Brief.pdf

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

  6. U.S. median household income 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  7. CBS News/New York Times Monthly Poll #1, April 2009

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Mar 29, 2010
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    Inter-university Consortium for Political and Social Research [distributor] (2010). CBS News/New York Times Monthly Poll #1, April 2009 [Dataset]. http://doi.org/10.3886/ICPSR26946.v1
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    delimited, ascii, spss, sas, stataAvailable download formats
    Dataset updated
    Mar 29, 2010
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/26946/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/26946/terms

    Time period covered
    Apr 2009
    Area covered
    United States
    Description

    This poll, fielded April 1-5, 2009, is a part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way Barack Obama was handling the presidency and issues such as the economy and foreign policy. A series of questions addressed the Obama Administration's approach to solving economic problems and whether the administration's policies favored the rich, the middle class, or the poor. Respondents gave their opinions of First Lady Michelle Obama, the United States Congress, the Republican and Democratic parties, and whether President Obama or the Republicans in Congress were more likely to make the right decisions about the national economy and national security. Views were sought on President Obama's proposed budget plan, including changes in federal income taxes and government spending, and proposals to give financial assistance to the banking and automotive industries. A series of questions addressed the condition of the national economy, the most important economic problem facing the nation, the financial situation of the respondent's household, and how the recession was affecting their life. Respondents compared their current standard of living with that of their parents at the same age and gave their expectations about the standard of living of their children. Other questions asked respondents what the phrase "American dream" meant to them and whether they had achieved the "American dream" or expected to in their lifetime. Additional topics addressed the bonuses given to AIG insurance company executives, the wars in Iraq and Afghanistan, international trade, health insurance coverage, and government spending on cancer research. Demographic variables include sex, age, race, education level, marital status, household income, employment status, perceived social class, political party affiliation, political philosophy, voter registration status and participation history, religious preference, whether respondents had children under the age of 18 years, and whether respondents considered themselves to be a born-again Christian.

  8. d

    2015 - 2016 Final Class Size Report Middle & High School.

    • datadiscoverystudio.org
    • data.cityofnewyork.us
    • +2more
    csv, json, rdf, xml
    Updated Feb 3, 2018
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    (2018). 2015 - 2016 Final Class Size Report Middle & High School. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/2a8cfb9c0360416ab77ce4c0b818c81d/html
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    json, rdf, xml, csvAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: New York City Department of Education 2015-16 Final Class Size Report School Middle School and High School Core Average Class Size General Education (Gen Ed), Integrated Co-Teaching (ICT), Accelerated (Acc), Self-Contained (SC); abstract: New York City Department of Education 2015-16 Final Class Size Report School Middle School and High School Core Average Class Size General Education (Gen Ed), Integrated Co-Teaching (ICT), Accelerated (Acc), Self-Contained (SC)

  9. Data from: CBS News/New York Times State of the Union Poll and Call-Back,...

    • icpsr.umich.edu
    ascii
    Updated Mar 10, 1994
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    Inter-university Consortium for Political and Social Research [distributor] (1994). CBS News/New York Times State of the Union Poll and Call-Back, February 1993 [Dataset]. http://doi.org/10.3886/ICPSR06199.v1
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    asciiAvailable download formats
    Dataset updated
    Mar 10, 1994
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6199/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6199/terms

    Description

    For this special topic poll, opinion was solicited before and after President Bill Clinton's State of the Union speech delivered February 17, 1993. Prior to the speech, questions were posed regarding Clinton's handling of the presidency, his campaign promises, the national economy, respondents' personal financial situations, and strategies to reduce the federal budget deficit. Other items assessed the share of tax dollars being spent on defense, Social Security, and health care, issues regarding homosexuals, and Al Gore's and Hillary Clinton's influence on the President. Additional questions concerned improving health care, the likelihood that respondents would watch Clinton's State of the Union speech, whether women nominated to high office by the Clinton Administration were being held to stricter standards than men, and the hiring of illegal aliens. Respondents recontacted in the call-back survey subsequent to the President's speech were queried regarding Clinton's handling of the presidency, the economic plan outlined in his speech, and the federal budget deficit. Background information on respondents includes perception of the amount of income needed to be too rich to be considered middle class, whether the respondent had a gay or lesbian friend/family member, the importance of religion, chances of being out of work sometime in the next 12 months, military service, parental status, economic self-placement, 1992 presidential vote choice, voter registration status, political party, political orientation, religious preference, fundamentalist self-identification, education, age, race, preference for "African-American" or "Black" as a label, Hispanic origin, marital status, family income, sex, and past involvement in expressing opinions by writing to Congress, calling in to a radio or television talk show, calling or writing to a newspaper, and calling an 800 or 900 number.

  10. T

    Vital Signs: Jobs by Wage Level - Metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 18, 2019
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    (2019). Vital Signs: Jobs by Wage Level - Metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Jobs-by-Wage-Level-Metro/bt32-8udw
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    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Jan 18, 2019
    Description

    VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

    FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

    LAST UPDATED January 2019

    DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

    DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

    American Community Survey (2001-2017) http://api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

    Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

    Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

    Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

    In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

  11. H

    Money, Morals, and Manners: The Culture of the French and the American...

    • dataverse.harvard.edu
    Updated Feb 19, 2022
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    Michèle Lamont (2022). Money, Morals, and Manners: The Culture of the French and the American Upper-Middle Class, 1986-1988 [Dataset]. http://doi.org/10.7910/DVN/1AVX7P
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 19, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Michèle Lamont
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/5.4/customlicense?persistentId=doi:10.7910/DVN/1AVX7Phttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/5.4/customlicense?persistentId=doi:10.7910/DVN/1AVX7P

    Time period covered
    1986 - 1988
    Area covered
    United States
    Description

    The purpose of this study was to compare how members of the French and American upper-middle class define being a "worthy person," and to explain the important cross-national differences in these definitions by examining broad cultural and structural features of French and American society. Subjects were 160 college educated, white male professionals, managers, and businessmen who lived in and around Indianapolis, New York, Paris, and Clermont-Ferrand. Respondents were randomly chosen from the phone directories of middle- and upper-middle-class suburbs and neighborhood. Brief phone interviews were conducted to determine availability and eligibility. The final participants were matches as closely as possible by level of education and occupation. Data collection centered on 2-hour semi-directed interviews. Variables assessed include labels participants used to describe people whom they placed above and below themselves, description of people with whom participants chose to associate, those they felt superior and inferior to and those who invoked hostility, indifference, and sympathy. Negative and positive traits of coworkers, perceptions of cultural traits most valued in their workplace, and child rearing values were also assessed. Audio Data Availability Note: This study contains audio data that have been digitized. There are 452 audio files available.

  12. Data from: Exploring the potential health impact and cost-effectiveness of...

    • data.niaid.nih.gov
    • dataone.org
    • +2more
    zip
    Updated Dec 21, 2016
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    Thomas M. Harmon; Kevin A. Fisher; Margaret G. McGlynn; John Stover; Mitchell J. Warren; Yu Teng; Arne Näveke (2016). Exploring the potential health impact and cost-effectiveness of AIDS vaccine within a comprehensive HIV/AIDS response in low- and middle-income countries [Dataset]. http://doi.org/10.5061/dryad.9r35r
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    zipAvailable download formats
    Dataset updated
    Dec 21, 2016
    Dataset provided by
    International AIDS Vaccine Initiativehttps://www.iavi.org/
    Avenir Health
    AVAC, New York, NY, United States of America
    Authors
    Thomas M. Harmon; Kevin A. Fisher; Margaret G. McGlynn; John Stover; Mitchell J. Warren; Yu Teng; Arne Näveke
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Background: The Investment Framework Enhanced (IFE) proposed in 2013 by the Joint United Nations Programme on HIV/AIDS (UNAIDS) explored how maximizing existing interventions and adding emerging prevention options, including a vaccine, could further reduce new HIV infections and AIDS-related deaths in low- and middle-income countries (LMICs). This article describes additional modeling which looks more closely at the potential health impact and cost-effectiveness of AIDS vaccination in LMICs as part of UNAIDS IFE. Methods: An epidemiological model was used to explore the potential impact of AIDS vaccination in LMICs in combination with other interventions through 2070. Assumptions were based on perspectives from research, vaccination and public health experts, as well as observations from other HIV/AIDS interventions and vaccination programs. Sensitivity analyses varied vaccine efficacy, duration of protection, coverage, and cost. Results: If UNAIDS IFE goals were fully achieved, new annual HIV infections in LMICs would decline from 2.0 million in 2014 to 550,000 in 2070. A 70% efficacious vaccine introduced in 2027 with three doses, strong uptake and five years of protection would reduce annual new infections by 44% over the first decade, by 65% the first 25 years and by 78% to 122,000 in 2070. Vaccine impact would be much greater if the assumptions in UNAIDS IFE were not fully achieved. An AIDS vaccine would be cost-effective within a wide range of scenarios. Interpretation: Even a modestly effective vaccine could contribute strongly to a sustainable response to HIV/AIDS and be cost-effective, even with optimistic assumptions about other interventions. Higher efficacy would provide even greater impact and cost-effectiveness, and would support broader access. Vaccine efficacy and cost per regimen are critical in achieving cost-effectiveness, with cost per regimen being particularly critical in low-income countries and at lower efficacy levels.

  13. f

    Data from: The super-gentrification of Park Slope, Brooklyn

    • tandf.figshare.com
    docx
    Updated May 30, 2023
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    Judith R. Halasz (2023). The super-gentrification of Park Slope, Brooklyn [Dataset]. http://doi.org/10.6084/m9.figshare.7160048.v1
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Judith R. Halasz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brooklyn, Park Slope
    Description

    Studies of classical gentrification typically focus on the embourgeoisement of neighborhoods and displacement of marginalized people. Recently, a new form of gentrification – super-gentrification – has emerged with the expansion of global finance capital, according to urban geographer Loretta Lees. Super-gentrification entails the further upscaling of already gentrified neighborhoods with the in-migration of upper-income residents and displacement of middle class residents, many of whom were among the initial gentrifiers. Despite the attention policy makers, urban planners, and the media are paying to the “middle class squeeze,” few quantitative studies of super-gentrification exist. Using data from the United States Decennial Census, American Community Survey, public residential sales transaction records, and real estate listings, this article sheds light on the landscape of super-gentrification and how to identify it with a quantitative analysis of changes in income, demographics, and housing affordability in the Park Slope neighborhood of Brooklyn, New York since 1970.

  14. g

    Data from: CBS News/New York Times State of the Union Poll, January 1992

    • datasearch.gesis.org
    v1
    Updated Aug 5, 2015
    + more versions
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    CBS News; The New York Times (2015). CBS News/New York Times State of the Union Poll, January 1992 [Dataset]. http://doi.org/10.3886/ICPSR06072.v1
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    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    CBS News; The New York Times
    Description

    This poll, conducted after President George Bush's 1992 State of the Union address, asked respondents to rate the way things were going in the United States, indicate whether the future for the next generation of Americans would be better, give their approval rating of George Bush with respect to his handling of the presidency, foreign policy, and the economy, and give their approval rating of Congress. The survey posed questions pertaining to the 1992 presidential campaign, the national economy, tax cuts, improving education, making health care affordable, reducing the federal budget deficit, ending the recession, protecting family values, defense spending, the Persian Gulf War, priorities in federal spending, and the financial situation of respondents compared to four years ago. Respondents were also asked whether Bush or a Democratic president would do a better job dealing with issues such as trade with Japan, abortion, the needs of the middle class, race relations, and gaining respect for the United States from other countries. Additional questions covered topics including federal loans to college students, national health insurance, Bill Clinton, job discrimination against women and Blacks, the impact of the collapse of the Soviet Union and continued threats from Iran and Iraq on defense spending, welfare, the assassination of John Kennedy, Social Security, marital infidelity among presidential candidates, handguns, assault weapons, the National Rifle Association, the Super Bowl, and whether the respondent had seen the film "JFK." Background information on respondents includes sex, age, race, marital status, parental status, employment, education, religious preference, family income, political orientation, party preference, 1988 presidential vote choice, and gun ownership.

  15. M

    Surgical Lights Market to Reach USD 4070 Million by 2032, Growing at 4.6%...

    • media.market.us
    Updated Jun 18, 2025
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    Market.us Media (2025). Surgical Lights Market to Reach USD 4070 Million by 2032, Growing at 4.6% CAGR [Dataset]. https://media.market.us/surgical-lights-market-news/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Overview

    New York, NY – June 17, 2025: The global Surgical Lights Market is projected to grow from USD 2,625 million in 2022 to approximately USD 4,070 million by 2032. This growth reflects a compound annual growth rate (CAGR) of 4.6% between 2023 and 2032. The market is being driven by rising surgical procedure volumes worldwide and investments aimed at improving surgical infrastructure. Increasing adoption of advanced lighting systems in operating rooms is enhancing surgical precision, while government-supported initiatives are helping to strengthen capacity in underserved regions.

    By the end of 2023, a total of 123 countries—representing 56.9% of UN member states—had officially reported their national surgical volumes. This figure marks a 70.8% increase in reporting countries compared to 2016. The expansion of surgical reporting demonstrates growing international attention toward tracking and improving surgical access. Enhanced transparency allows policymakers to better evaluate gaps in infrastructure, equipment needs, and personnel training, particularly in low- and middle-income countries (LMICs).

    Despite this progress, disparities in surgical volume persist across regions. The Lancet Commission’s benchmark target of 5,000 surgeries per 100,000 population has been met by only 45 nations, or 36.6% of those reporting. Notably, only Ukraine and Mongolia—both classified as lower-middle-income countries—achieved this benchmark, while no low-income country met the standard. This underscores the challenge faced by resource-limited nations in scaling surgical capacity to meet global targets.

    A systematic review conducted between 2021 and 2022 examined surgical volumes in LMICs over a ten-year period. The review found that these countries performed an average of 877 surgeries per 100,000 people annually—significantly below the Lancet target. High-income countries continue to report far greater surgical volumes, highlighting the need for sustained efforts to bridge the access gap. Factors such as inadequate infrastructure, lack of trained staff, and limited financial investment contribute to this shortfall.

    Country-level examples offer insight into how global events can affect surgical trends. In Mexico, surgical volumes fell sharply during the COVID-19 pandemic—from 1,025.5 procedures per 100,000 people in 2019 to 726.9 in 2020. This decline reflects the postponement of elective procedures and overall strain on healthcare systems. However, gradual recovery has been observed in subsequent years, showing resilience and efforts to return to pre-pandemic surgical levels.

    International support for surgical capacity-building has also gained momentum. According to the Global Surgery Foundation’s 2023 report, initiatives such as SURGhub and SURGfund have been launched to support equitable surgical access. These programs have contributed to training healthcare workers in over 150 countries and implemented five major projects that collectively benefit approximately 4.3 million people. These global efforts are critical for enhancing operating room capabilities and, by extension, the demand for advanced surgical lights in hospitals worldwide.

    https://market.us/wp-content/uploads/2018/11/Surgical-Lights-Market-Size.png" alt="Surgical Lights Market Size">

  16. d

    2018 - 2019 Class Size Pct Boro MSHS

    • datasets.ai
    • data.cityofnewyork.us
    23, 40, 55, 8
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    City of New York, 2018 - 2019 Class Size Pct Boro MSHS [Dataset]. https://datasets.ai/datasets/2018-2019-class-size-pct-boro-mshs
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    55, 23, 40, 8Available download formats
    Dataset authored and provided by
    City of New York
    Description

    2018-19 Preliminary Class Size Report Borough Middle and High School Class Size Distribution Core courses identified as English, Math, Social Studies, and Science classes for grades 6-12, where available General Education and Integrated Co-Teaching (ICT) classes and course sections with more than 100 students or fewer than seven students are excluded from this report, as are self-contained courses with fewer than two students

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2024). Real Median Household Income in New York [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSNYA672N

Real Median Household Income in New York

MEHOINUSNYA672N

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jsonAvailable download formats
Dataset updated
Sep 11, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
New York
Description

Graph and download economic data for Real Median Household Income in New York (MEHOINUSNYA672N) from 1984 to 2023 about NY, households, median, income, real, and USA.

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