U.S. Census Bureau QuickFacts statistics for Syracuse city, New York. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Syracuse: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3(4.29%) households where the householder is under 25 years old, 29(41.43%) households with a householder aged between 25 and 44 years, 20(28.57%) households with a householder aged between 45 and 64 years, and 18(25.71%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Syracuse, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Syracuse median household income by age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Syracuse city, Utah. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Chart and table of population level and growth rate for the Syracuse metro area from 1950 to 2025.

The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Syracuse: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3(5.08%) households where the householder is under 25 years old, 27(45.76%) households with a householder aged between 25 and 44 years, 14(23.73%) households with a householder aged between 45 and 64 years, and 15(25.42%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Syracuse, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Syracuse median household income by age. You can refer the same here

The Syracuse Common Council Boundaries dataset was created by the Syracuse City Redistricting Commission in 2022. This shapefile consists of polygon features representing Syracuse Common Council districts. This went into effect after being approved by the Syracuse Common Council in 2023. This dataset also includes some of the populations statistics and percentages that were used to determine the boundaries.Data DictionaryDIST_ID: The Common Council District number.TOTAL_ADJ: Total population (NYS Legislative Task Force on Demographic Research and Reapportionment (LATFOR) Prisoner Adjusted)DX_DEX: Population deviation in numbersTOTAL_ADJ_: Population Deviation as a percentage of the average district populationVAP: Voting Age PopulationHISP_VAP_A: Hispanic Voting Age PopulationNH_DOJ_W_1: Non-Hispanic White Voting Age Population as defined by DOJ guidanceNH_DOJ_B_1: Non-Hispanic Black Voting Age Population as defined by DOJ guidanceNH_DOJ_A_1: Non-Hispanic Asian (1 Race) Voting Age Population as defined by DOJ guidanceNH_DOJ_A_2: Non-Hispanic Asian (2 Races) Voting Age Population as defined by DOJ guidanceNH_DOJ_H_1: Non-Hispanic Hawaiian and Pacific Islander Voting Age Population as defined by DOJ guidanceNH_DOJ_O_2: Non-Hispanic Other (1 Race) Voting Age Population as defined by DOJ guidanceNH_DOJ_O_3: Non-Hispanic Other (2 Race) Voting Age Population as defined by DOJ guidance Dataset Contact Information:Organization: City of Syracuse - Office of Accountability, Performance, and Innovation (API)Position: Data Program ManagerCity: Syracuse, NYE-Mail Address: opendata@syrgov.net

Historical Dataset of Syracuse City School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2013-2023),Asian Student Percentage Comparison Over Years (1993-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

This dataset tracks annual hispanic student percentage from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

Map of Zip Code boundaries within the City of Syracuse is from Syracuse Onondaga County Planning Agency (SOCPA) and was last revised in 2017. Due to an increase in population or to the improve postal operations, the US Postal Service® will occasionally add a new ZIP Code or change ZIP Code boundaries. This map of Zipcode boundaries within the City of Syracuse boundaries is accurate as of 2/2022.The five digits of a ZIP code (e.g.,12345) may be grouped as follows: [123] [45][123] : Sectional Center or Large City[45] : Post Office facility or Delivery AreaMore information regarding this can be found at: https://faq.usps.com/s/article/ZIP-Code-The-Basics

This dataset tracks annual diversity score from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This dataset tracks annual asian student percentage from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This project is concerned with understanding the determinants of racial bias in police traffic stops and in the city of Syracuse, New York. Using an officer-level panel of data on vehicle stops and vehicle searches by 512 officers from 2006 to 2009, the primary goal of this research is to better understand the effects of officer experience on their proclivities for racial bias in traffic stops, while controlling for officer, citizen, and neighborhood demographics. Included in these data are variables for census tracts as well as their racial and ethnic makeup, times and dates when traffic stops occurred, sunrise and sunset data for the City of Syracuse, and the racial and ethnic makeup of citizens involved in stops.

This dataset tracks annual white student percentage from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This dataset tracks annual black student percentage from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This dataset tracks annual american indian student percentage from 2011 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Syracuse. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Syracuse, the median income for all workers aged 15 years and older, regardless of work hours, was $30,395 for males and $23,548 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 23% between the median incomes of males and females in Syracuse. With women, regardless of work hours, earning 77 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Syracuse.

- Full-time workers, aged 15 years and older: In Syracuse, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,299, while females earned $49,507, resulting in a 10% gender pay gap among full-time workers. This illustrates that women earn 90 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Syracuse.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Syracuse.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Syracuse median household income by race. You can refer the same here

This dataset tracks annual free lunch eligibility from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District

This dataset tracks annual student-teacher ratio from 2009 to 2023 for Institute Of Technology At Syracuse Central vs. New York and Syracuse City School District