A dataset listing New York cities by population for 2024.

Resident population of New York State and counties produced by the U.S. Census Bureau. Estimates are based on decennial census counts (base population), intercensal estimates, postcensal estimates and administrative records. Updates are made annually using current data on births, deaths, and migration to estimate population change. Each year beginning with the most recent decennial census the series is revised, these new series of estimates are called vintages.

Chart and table of population level and growth rate for the state of New York from 1900 to 2024.

In 2023, about 3.87 million people in New York state were of Hispanic or Latino origin. Additionally, there were about 10.32 million white people and 2.61 million Black people living in New York in that year.

The dataset contains a hierarchal listing of New York State counties, cities, towns, and villages, as well as official locality websites

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

A dataset listing New York counties by population for 2024.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. The 2020 PUMAs will appear in the 2022 TIGER/Line Shapefiles.

In 2023, the median household income in New York amounted to 81,600 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 75,910 U.S. dollars. The median household income for the United States can be accessed here.

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

About this dataset

Context

The dataset presents the median household income across different racial categories in Albany. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Albany population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 52.96% of the total residents in Albany. Notably, the median household income for White households is $72,871. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $72,871.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Albany.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Albany median household income by race. You can refer the same here

What is heat vulnerability? Vulnerability to heat is how likely a person is to be injured or harmed during periods of hot weather. Heat vulnerability has been linked to individuals’ characteristics (health status, age, race, income, language spoken, etc.) as well as certain aspects of the community where one lives (environment, community demographics). These characteristics or “heat vulnerability factors” can play an important role in one’s ability to adapt to heat. What is the Heat Vulnerability Index? The effects of extreme heat on health can often be prevented. Heat-related deaths and illness are more common during the summer, especially in vulnerable populations. Since vulnerability and adaptability to extreme heat in New York State (NYS) is a growing concern, the New York State Department of Health (NYSDOH) created the Heat Vulnerability Index (HVI) to help local and state public health officials identify and map heatvulnerable areas and populations in NYS (excluding New York City which has its own HVI). The HVI can assist in directing adaptation resources based on characteristics of vulnerable populations in that community and can inform long-term heat-mitigation planning efforts in the community. The HVI can help local agencies make decisions to: set up cooling centers in rural and vulnerable areas where many do not have access to air-conditioning at home provide transportation to and from cooling centers in low income neighborhoods where there may not be public transportation or few people own vehicles include risk communication and alert messaging in multiple languages especially among communities with high proportions of people who do not understand English wellarrange home visits of people in high risk groups like the elderly living alone How was the HVI developed? The HVI was developed to identify census tracts with populations that may have increased heat vulnerability. It is based on thirteen environmental and socio-demographic heat vulnerability factors that were identified from previous studies. Census tracts are subdivisions of counties and are defined by the US Census Bureau to collect, provide and present statistical data. Census tract level information for these heat vulnerability factors was obtained from the 2006-2010 and 2008-2012 US Census Bureau American Community Surveys (ACS) and 2011 National Land Cover Database (NLCD) for 2,723 census tracts in NYS (excluding New York City). Census tracts with zero population or missing census tract data were excluded. The 13 factors were grouped into four categories that represent different aspects of heat vulnerability, which in turn were used to estimate the overall HVI for each census tract. The four heat vulnerability categories include 1) language vulnerability; 2) socio-economic vulnerability; 3) environmental and urban vulnerability; and 4) elderly isolation and elderly vulnerability. The HVI and four heat vulnerability categories were mapped to display populations in NYS that are most vulnerable to heat. More Information on HVI:Heat Vulnerability Index: Statewide and County HVI maps can be found at https://www.health.ny.gov/environmental/weather/vulnerability_index/index.htm For more information on the HVI: Nayak SG et al. Development of the heat Vulnerability Index. Public Health 2017. Open access at https://www.sciencedirect.com/science/article/pii/S003335061730327X

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Albany, NY, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 8,639, while the mean income for the highest quintile (20% of households with the highest income) is 203,046. This indicates that the top earners earn 24 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 334,095, which is 164.54% higher compared to the highest quintile, and 3867.29% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Albany median household income. You can refer the same here

The Nursing Home Weekly Bed Census: Last Submission data is the most current nursing home data available. Available bed and occupancy information is self-reported and is not audited by the Department of Health.

The Department of Health requires nursing homes to complete electronic filing of each facility's licensed nursing home beds and availability by bed category on a weekly basis. This dataset is refreshed monthly.

Abstract

the Ministry of Youth and Sports adopted the National Strategy for Youth Development, in cooperation with the Central Bureau of Statistics and the United Nations Population Fund (UNFPA), the National Youth and Youth Survey (NYS) project in Iraq and its width and the Kurdistan Region, which focused heavily on key aspects of youth In Iraq for the category (10-30) years in order to access a broad database to facilitate the work of strategic decision-makers to build and rehabilitate young people, to develop plans and programs to improve information, attitudes and practices based on modern scientific basis correct.

The main objective of this survey is: 1- Studying the knowledge, attitudes and practices of young men and women in old age, especially after the political and social changes that Iraq has undergone since 2003 with the aim of drawing up a clear national strategy for youth that meets the requirements and aspirations of this age group of the population. 2- Providing a database on youth to serve researchers, planners, decision-makers and policy makers in the preparation of health, social and developmental plans and programs aimed at improving their economic, social, cultural and scientific conditions. To estimate the size of the manpower and the labor force of young people in the society and their distribution according to the characteristics and knowledge of the size of employment and unemployment in society and to identify the characteristics and trends of the unemployed in order to follow the changes in employment rates and unemployment, 3- To study the relationship between the profession and the scientific specialization and to identify the reasons for the reluctance of young people to work in the private sector and handicrafts, as well as to create a modern database and provide all the information and statistics necessary to make comparisons and monitoring indicators at the local, regional and international levels, which helps to formulate policies to match the outputs of education and labor market Through labor market plans and strategies

The results of this national project are considered to meet the national need to integrate young people in the Iraqi national project right and transit to achieve natural rights and to strengthen the national gains and if we look at the statistics that resulted from the results of the survey, which give rise to optimism here and pessimistic there, we find that the picture will be clear and clear In this segment calls for the minimum requirements of modern institutions of government and international and civil and want to be effective in achieving the achievement of added and direct attention should be on a large scale as it needs multiple legislation in the political, economic and cultural aspects.

Geographic coverage

NYS is nationally representative, covering all governorates of Iraq, including Kurdistan.

Analysis unit

1- Households. 2- Youth aged (10-30)

Universe

The survey covered a national sample of households and selected youth aged 10-30.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design and Method of Selecting Sampling Units

The survey sample comprised 6492 households completely interviewed; these households are distributed across all governorates and included 15080 persons in the age of (10-30) years old who were completely interviewed. Data collection took place during the period from 25/3/2009 to 13/4/2009.

The sample of the Iraq national youth and adolescent's survey for the year 2009 was designed to be representative at the governorates level with a confidence interval of 95% and a margin of error of 7%. It was taken into account, while deciding on the sample size, to address the bias resulting from the adoption of the cluster method in selection households and also to address the possible non-response rate due to the fact that some households might not be cooperative with the interviewers while others may not be present in their homes during the fieldwork. To compute indicators, we take into account the relative weight of the population in each stratum, so that indicators showed are weighted using factors computed so that sampled population present the same pattern as the real population , for example the population of Baghdad Governorate constitutes around 22.1% of the whole Iraqi population while the Muthna governorate constitutes around 2.2%, etc.

In light of the above, the sample size was 6730 households with 360 households in each governorate with the exception of Baghdad where the sample amounted to 610 families, distributed on different environments (urban central, Suburbs, and rural areas) whereby 2500 households were sampled from the urban central area against some 2250 in the Suburbs areas and 1980 households in the rural communities, on the level of Iraq as a whole.

The design of the sample relied on the following criteria: • Providing indicators with an adequate representation on the governorates level and on the environmental level in each governorate (urban central - suburbs - and rural), since the surveys, previously implemented over the past three years in Iraq, aimed at reaching that level of details. • Adapting the available sample frames with the aim of selecting an adequate representative sample with the absence of a modern sample frame. • Choosing a sampling design appropriate for Iraq current situation and facilitates completing fieldwork efficiently

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey tool is a long and detialed questionnaire for both Househlds and individuals 10-30.

Response rate

6492 households were interviewed with a response rate of 96.5%, while 15080 youth and adolescents were also interviewed with a total response rate of 92.6% (94.5% for females and 91.1% for males) that reached its utmost in the governorate of Najaf (100%) and its lowest was in As-Sulaimanya Governorate (73.2%).