This dataset provides information about the number of properties, residents, and average property values for City Homes Place cross streets in Charlotte, NC.

Spatial Dataset used to display Colleges and Universities in Mecklenburg County, North Carolina. This dataset includes attributes such as name of the the college and the enrolment numbers.

© Data is collected and maintained by The Charlotte Mecklenburg Planning Department. This layer is a component of Dynamic_ISP_DataRemap.

This dataset provides information about the number of properties, residents, and average property values for University City Boulevard cross streets in Charlotte, NC.

U.S. Census Bureau QuickFacts statistics for Charlotte city, Michigan. 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

This list ranks the 1 city in the Charlotte County, FL by Non-Hispanic Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Black Population: This column displays the rank of city in the Charlotte County, FL by their Non-Hispanic Black or African American population, using the most recent ACS data available.
• city: The city for which the rank is shown in the previous column.
• Non-Hispanic Black Population: The Non-Hispanic Black population of the city is shown in this column.
• % of Total city Population: This shows what percentage of the total city population identifies as Non-Hispanic Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Charlotte County Non-Hispanic Black Population: This tells us how much of the entire Charlotte County, FL Non-Hispanic Black population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Government-assisted affordable housing — also known as low-income subsidized housing — has been around since the New Deal. It includes “public housing” created directly by government, as well as a wide array of programs in which private entities utilize government subsidies. No official roster exists that lists all of these projects over time in Charlotte. Hanchett created this master list by combing government records, newspaper stories, and other sources including reports of the Charlotte Housing Authority (now known as Inlivian), the non-profit Charlotte Mecklenburg Housing Partnership (now known as DreamKey Partners), and city government's Charlotte Housing Trust Fund. On-line listings by Novogradac, a national consultant on Low-Income Housing Tax Credit financing, were particularly useful for LIHTC projects 1986 - present. This table will likely surprise most readers. It lists some 180 projects constructed over the course of 80 years. About 150 remain in use today. Many are so well designed that neighbors are not aware of them as subsidized housing. Understanding the range of funding sources and housing strategies that have been implemented can help us as we consider how to face shortages of affordable housing in our city and nation today.

About this dataset

Context

This list ranks the 1 city in the Charlotte County, FL by Non-Hispanic American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Native American Population: This column displays the rank of city in the Charlotte County, FL by their Non-Hispanic American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• city: The city for which the rank is shown in the previous column.
• Non-Hispanic Native American Population: The Non-Hispanic Native American population of the city is shown in this column.
• % of Total city Population: This shows what percentage of the total city population identifies as Non-Hispanic Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Charlotte County Non-Hispanic Native American Population: This tells us how much of the entire Charlotte County, FL Non-Hispanic Native American population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This dataset provides information about the number of properties, residents, and average property values for Charlotte Street cross streets in Elizabeth City, NC.

These data are derived from the Census Bureau's American Community Survey Public Use Microdata Sample to quantify the availability of and demand for housing at various levels of income (using Area Median Income-AMI) Additional Information about these data can be found:at this link.

Geospatial data about City of Charlotte, North Carolina Bike Lanes. Export to CAD, GIS, PDF, CSV and access via API.

About this dataset

Context

The dataset tabulates the Charlotte town 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 Charlotte town. The dataset can be utilized to understand the population distribution of Charlotte town by age. For example, using this dataset, we can identify the largest age group in Charlotte town.

Key observations

The largest age group in Charlotte, New York was for the group of age 75 to 79 years years with a population of 146 (10.20%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Charlotte, New York was the 80 to 84 years years with a population of 15 (1.05%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Charlotte town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Charlotte town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Charlotte town Population by Age. You can refer the same here

About this dataset

Context

This list ranks the 4 city in the Charlotte County, VA by Hispanic Native Hawaiian and Other Pacific Islander (NHPI) population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Hispanic Pacific Islander Population: This column displays the rank of city in the Charlotte County, VA by their Hispanic Native Hawaiian and Other Pacific Islander (NHPI) population, using the most recent ACS data available.
• city: The city for which the rank is shown in the previous column.
• Hispanic Pacific Islander Population: The Hispanic Pacific Islander population of the city is shown in this column.
• % of Total city Population: This shows what percentage of the total city population identifies as Hispanic Pacific Islander. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Charlotte County Hispanic Pacific Islander Population: This tells us how much of the entire Charlotte County, VA Hispanic Pacific Islander population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Geospatial data about Charlotte, North Carolina City Monuments. Export to CAD, GIS, PDF, CSV and access via API.

This dataset provides information about the number of properties, residents, and average property values for Charlotte Drive cross streets in Spring City, TN.

City of Charlotte employee salary and hourly rate information as maintained and stored in the Charlotte Human Resources management system.

Salary data for City of Charlotte employees. Data is added quarterly; year and quarter are specified within each record. New data is appended as it becomes available.

Digital Data from VG09-5 Gale, M., Kim, J., Earle, H., Clark, A., Smith, T., and Petersen, K., 2009, Bedrock Geologic Map of Charlotte, Vermont: VGS Open-File Report VG09-5, 3 plates, scale 1:24,000. The bedrock geologic map data at a scale of 1:24,000 depicts types of bedrock underlying unconsolidated materials in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a USGS 1:24000 topographic base map. Data may be organized by town, quadrangle or watershed. Each data bundle may includes point, line and polygon data and some or all of the following: 1) contacts (lithogic contacts), 2) fault_brittle, 3) fault_ductile, 4) fault_thrust, 5) fault_bed_plane (bedding plane thrust), 6) bedding, 7) bedding_graded (graded bedding) 8) bedding_overturn (overturned bedding), 9) bedding_select (selected points for published map), 10) foliation_n1, n2, n3 etc (foliation data), 11) outcrop (exposed outcrops), 12) field_station (outcrop and data collection point), 13) fold_axis, 14) axial_plane, 15) lamprophyre, 16) water_well_log (water well driller information), 16) linear_int (intersection lineation), 17) linear_str (stretching lineation) 18) x_section_line (line of cross-section), and photolinear (lineaments identified from air photos). Other feature classes may be included with each data bundle. (https://dec.vermont.gov/geological-survey/publication-gis/ofr).

Spatial Dataset used to display Census Block Groups for the years 2011-2015 American Community Survey 5-Year Estimates in Mecklenburg County, North Carolina. This dataset includes attributes such as census tracts and block groups.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.

This dataset provides information about the number of properties, residents, and average property values for Charlotte Street cross streets in Plant City, FL.

Using data from five Spouse Assault Replication Program (SARP) sites, this study examined the extent to which domestic violence offenders exhibit a specialized proclivity toward violence and the extent to which attack severity escalates, de-escalates, or stays about the same over time. The specialization question was examined using official arrest records from the Charlotte, North Carolina, Colorado Springs, Colorado, Milwaukee, Wisconsin, and Omaha, Nebraska sites. Escalation was examined using victim interview data from the Charlotte, Milwaukee, Omaha, and Miami-Dada, Florida sites. This collection consists of 18 SAS setup files used to recode the variables from the original datasets, organized in five groups, by city of each data collection site. This collection does not contain the original data files, themselves.