Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Manhattan 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 Manhattan. The dataset can be utilized to understand the population distribution of Manhattan by age. For example, using this dataset, we can identify the largest age group in Manhattan.
Key observations
The largest age group in Manhattan, MT was for the group of age 10 to 14 years years with a population of 295 (13.73%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Manhattan, MT was the 25 to 29 years years with a population of 21 (0.98%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Manhattan Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New York 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 New York. The dataset can be utilized to understand the population distribution of New York by age. For example, using this dataset, we can identify the largest age group in New York.
Key observations
The largest age group in New York, NY was for the group of age 25-29 years with a population of 763,148 (8.74%), according to the 2021 American Community Survey. At the same time, the smallest age group in New York, NY was the 80-84 years with a population of 159,471 (1.83%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York Population by Age. You can refer the same here
"Enrollment counts are based on the October 31 Audited Register for the 2017-18 to 2019-20 school years. To account for the delay in the start of the school year, enrollment counts are based on the November 13 Audited Register for 2020-21 and the November 12 Audited Register for 2021-22. * Please note that October 31 (and November 12-13) enrollment is not audited for charter schools or Pre-K Early Education Centers (NYCEECs). Charter schools are required to submit enrollment as of BEDS Day, the first Wednesday in October, to the New York State Department of Education." Enrollment counts in the Demographic Snapshot will likely exceed operational enrollment counts due to the fact that long-term absence (LTA) students are excluded for funding purposes. Data on students with disabilities, English Language Learners, students' povery status, and students' Economic Need Value are as of the June 30 for each school year except in 2021-22. Data on SWDs, ELLs, Poverty, and ENI in the 2021-22 school year are as of March 7, 2022. 3-K and Pre-K enrollment totals include students in both full-day and half-day programs. Four-year-old students enrolled in Family Childcare Centers are categorized as 3K students for the purposes of this report. All schools listed are as of the 2021-22 school year. Schools closed before 2021-22 are not included in the school level tab but are included in the data for citywide, borough, and district. Programs and Pre-K NYC Early Education Centers (NYCEECs) are not included on the school-level tab. Due to missing demographic information in rare cases at the time of the enrollment snapshot, demographic categories do not always add up to citywide totals. Students with disabilities are defined as any child receiving an Individualized Education Program (IEP) as of the end of the school year (or March 7 for 2021-22). NYC DOE "Poverty" counts are based on the number of students with families who have qualified for free or reduced price lunch, or are eligible for Human Resources Administration (HRA) benefits. In previous years, the poverty indicator also included students enrolled in a Universal Meal School (USM), where all students automatically qualified, with the exception of middle schools, D75 schools and Pre-K centers. In 2017-18, all students in NYC schools became eligible for free lunch. In order to better reflect free and reduced price lunch status, the poverty indicator does not include student USM status, and retroactively applies this rule to previous years. "The school’s Economic Need Index is the average of its students’ Economic Need Values. The Economic Need Index (ENI) estimates the percentage of students facing economic hardship. The 2014-15 school year is the first year we provide ENI estimates. The metric is calculated as follows: * The student’s Economic Need Value is 1.0 if: o The student is eligible for public assistance from the NYC Human Resources Administration (HRA); o The student lived in temporary housing in the past four years; or o The student is in high school, has a home language other than English, and entered the NYC DOE for the first time within the last four years. * Otherwise, the student’s Economic Need Value is based on the percentage of families (with school-age children) in the student’s census tract whose income is below the poverty level, as estimated by the American Community Survey 5-Year estimate (2020 ACS estimates were used in calculations for 2021-22 ENI). The student’s Economic Need Value equals this percentage divided by 100. Due to differences in the timing of when student demographic, address and census data were pulled, ENI values may vary, slightly, from the ENI values reported in the School Quality Reports. In previous years, student census tract data was based on students’ addresses at the time of ENI calculation. Beginning in 2018-19, census tract data is based on students’ addresses as of the Audited Register date of the g
This dataset shows daily citywide counts of persons tested by nucleic acid amplification tests (NAAT, also known as a molecular test; e.g. a PCR test) for SARS-CoV-2 , counts of persons with positive tests, and the percent positivity. Also included is a calculation of the average percent positivity over a 7-day period. NAAT tests work through direct detection of the virus’s genetic material, and typically involve collecting a nasal swab. These tests are highly accurate and recommended for diagnosing current COVID-19 infection. After specimen collection, molecular tests are processed in a laboratory, and results are electronically reported to the New York State (NYS) Electronic Clinical Laboratory Results System (ECLRS). Test results for NYC residents are then sent electronically to NYC DOHMH. There is typically a lag of a few days between when a specimen is collected and when a result is reported to NYC DOHMH. Data is sourced from electronic laboratory reporting from NYS ECLRS. All identifying health information is excluded from the dataset.
Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.
This data tracks the number of beds available for runaway and homeless youth and young adults as well as the number and percent vacant. Data include Crisis Shelters, Crisis Shelters HYA (Homeless Young Adults), Transitional Independent Living, and Transitional Independent Living HYA. For more information about programs, visit https://www1.nyc.gov/site/dycd/services/services.page and https://discoverdycd.dycdconnect.nyc/home. For the RHY Data Collection, please follow this link.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New York population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New York across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of New York was 8,335,897, a 1.46% decrease year-by-year from 2021. Previously, in 2021, New York population was 8,459,001, a decline of 3.22% compared to a population of 8,740,647 in 2020. Over the last 20 plus years, between 2000 and 2022, population of New York increased by 320,688. In this period, the peak population was 8,740,647 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York Population by Year. You can refer the same here
This dataset builds on the Walk to A Park Service Area (https://data.cityofnewyork.us/Recreation/Walk-to-a-Park-Service-area/5vb5-y6cv) to provide a dataset that can be viewed as an on-line map or downloaded to support the preparation of an Open Space assessment pursuant to City Environment Quality Review Technical Manual. The data has been modified to ensure that if 50% or more of a tax lot is within a Walk to a Park Service area, then the entire lot is shown as served. New York City, as part of the OneNYC 2050 Building a Strong and Fair City plan, has put forth a goal of 85 percent of New York City residents living within a walking distance of a park by 2030. The Walk to a Park initiative focuses on increasing access to parks and open spaces, concentrating on areas of the city that are under-resourced and where residents are living further than a walk to a park. NYC Parks calculates the number of New Yorkers within walking distance of a park and reports on this as part of the Mayor’s Management Report. “Walking distance” is defined as a 1/4-mile or less for sites such as small playgrounds and sitting areas; or a 1/2-mile or less for larger parks that serve a wider region, typically over 6 acres or with access to recreation center. Certain properties in NYC Parks' portfolio, such as cemeteries, community gardens, or sites with no recreational equipment were not included in this analysis. Similarly, some publicly accessible parks and open-space amenities not under the jurisdiction of NYC Parks were included in this analysis, as they provide recreational value. This information is periodically updated and is only current as of the last publication date. The analysis is performed in part using secondary data. Data accuracy is limited by the scale and accuracy of the original sources. For more information about this analysis and the Walk to a Park Initiative, visit: https://www.nycgovparks.org/planning-and-building/planning/walk-to-a-park Data Dictionary: https://docs.google.com/spreadsheets/d/16VtACcFyKR_hYJNwrYYtFcvMVV9ybmALIWdvce7uJww/edit?usp=sharing
A range of indicators for a selection of cities from the New York City Global City database.
Dataset includes the following:
Geography
City Area (km2)
Metro Area (km2)
People
City Population (millions)
Metro Population (millions)
Foreign Born
Annual Population Growth
Economy
GDP Per Capita (thousands $, PPP rates, per resident)
Primary Industry
Secondary Industry
Share of Global 500 Companies (%)
Unemployment Rate
Poverty Rate
Transportation
Public Transportation
Mass Transit Commuters
Major Airports
Major Ports
Education
Students Enrolled in Higher Education
Percent of Population with Higher Education (%)
Higher Education Institutions
Tourism
Total Tourists Annually (millions)
Foreign Tourists Annually (millions)
Domestic Tourists Annually (millions)
Annual Tourism Revenue ($US billions)
Hotel Rooms (thousands)
Health
Infant Mortality (Deaths per 1,000 Births)
Life Expectancy in Years (Male)
Life Expectancy in Years (Female)
Physicians per 100,000 People
Number of Hospitals
Anti-Smoking Legislation
Culture
Number of Museums
Number of Cultural and Arts Organizations
Environment
Green Spaces (km2)
Air Quality
Laws or Regulations to Improve Energy Efficiency
Retrofitted City Vehicle Fleet
Bike Share Program
This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New York population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New York. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 5.41 million (63.53% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New York Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of New York, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of New York.
Key observations
Among the Hispanic population in New York, regardless of the race, the largest group is of other Hispanic or Latino origin, with a population of 1.48 million (58.55% of the total Hispanic population).
https://i.neilsberg.com/ch/new-york-ny-population-by-race-and-ethnicity.jpeg" alt="New York Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Origin for Hispanic or Latino population include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York Population by Race & Ethnicity. You can refer the same here
This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Manhattan Beach 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 Manhattan Beach. The dataset can be utilized to understand the population distribution of Manhattan Beach by age. For example, using this dataset, we can identify the largest age group in Manhattan Beach.
Key observations
The largest age group in Manhattan Beach, CA was for the group of age 45 to 49 years years with a population of 2,992 (8.65%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Manhattan Beach, CA was the 80 to 84 years years with a population of 716 (2.07%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Manhattan Beach Population by Age. You can refer the same here
The percentage of juvenile probationer arrests relative to all arrests recorded by the Police Department during the reporting period.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Bachelor's Degree or Higher (5-year estimate) in New York County, NY (HC01ESTVC1736061) from 2010 to 2023 about New York County, NY; New York; tertiary schooling; educational attainment; NY; education; 5-year; and USA.
Attendance data include 3K-12 students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Programs), charter schools, homeschooling, and home and hospital instruction are excluded. Infants in D79 (LYFE program) and students with a grade level "AD" (adult) are also excluded. Pre-K data do not include NYC Early Education Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K and District Pre-K Centers. Overall Attendance Rate is defined as the percent of days where students have present attendance status, out of total days with reported attendance data, across 20 days of attendance data October 1-29. Remote Instruction Attendance Rate is defined as the percent of days where students have present remote attendance status out of total days with a remote attendance record reported, across 20 days of attendance data. Full attendance definitions for SY2021-22 can be found here: https://infohub.nyced.org/school-year/school-year-2021-22/attendance
The percentage of adult probationer arrests relative to all arrests recorded by the Police Department during the reporting period.
Prelim Percentage Class Size Reports - Aggregated by borough.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Manhattan 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 Manhattan. The dataset can be utilized to understand the population distribution of Manhattan by age. For example, using this dataset, we can identify the largest age group in Manhattan.
Key observations
The largest age group in Manhattan, MT was for the group of age 10 to 14 years years with a population of 295 (13.73%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Manhattan, MT was the 25 to 29 years years with a population of 21 (0.98%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Manhattan Population by Age. You can refer the same here