Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Orlando by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orlando. The dataset can be utilized to understand the population distribution of Orlando by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orlando. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orlando.
Key observations
Largest age group (population): Male # 30-34 years (16,587) | Female # 25-29 years (17,072). 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:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
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 Orlando Population by Gender. 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 population of Orlando by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Orlando across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 50.69% of total population being female. 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.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
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 Orlando Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Employed Persons in Orlando-Kissimmee-Sanford, FL (MSA) (LAUMT123674000000005) from Jan 1990 to Apr 2025 about Orlando, FL, household survey, employment, persons, and USA.
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Graph and download economic data for Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) (ORLA712URN) from Jan 1990 to Apr 2025 about Orlando, FL, unemployment, rate, and USA.
In 2023, the population of the Orlando-Kissimmee-Sanford metropolitan area in the United States was about 2.81 million people. This is a slight increase from the previous year, when the population was about 2.76 million people.
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Graph and download economic data for Total Quarterly Wages in Orlando-Kissimmee-Sanford, FL (MSA) (ENUC367430010SA) from Q1 1990 to Q4 2024 about Orlando, FL, wages, and USA.
Statistics for moving services in orlando including costs, move sizes, and other relevant data as of June 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Orlando 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 Orlando 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 2023, the population of Orlando was 138, a 2.22% increase year-by-year from 2022. Previously, in 2022, Orlando population was 135, an increase of 1.50% compared to a population of 133 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Orlando decreased by 67. In this period, the peak population was 237 in the year 2009. 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 Orlando Population by Year. You can refer the same here
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Graph and download economic data for All Employees: Government: State Government in Orlando-Kissimmee-Sanford, FL (MSA) (SMU12367409092000001SA) from Jan 1990 to Apr 2025 about state govt, Orlando, FL, government, employment, and USA.
Overview:This document describes the 2021 accessibility data released by the Accessibility Observatory at the University of Minnesota. The data are included in the National Accessibility Evaluation Project for 2021, and this information can be accessed for each state in the U.S. at https://access.umn.edu/research/america. The following sections describe the format, naming, and content of the data files.Data Formats: The data files are provided in a Geopackage format. Geopackage (.gpkg) files are an open-source, geospatial filetype that can contain multiple layers of data in a single file, and can be opened with most GIS software, including both ArcGIS and QGIS.Within this zipfile, there are six geopackage files (.gpkg) structured as follows. Each of them contains the blocks shapes layer, results at the block level for all LEHD variables (jobs and workers), with a layer of results for each travel time (5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60 minutes). {MPO ID}_tr_2021_0700-0859-avg.gpkg = Average Transit Access Departing Every Minute 7am-9am{MPO ID}_au_2021_08.gpkg = Average Auto Access Departing 8am{MPO ID}_bi_2021_1200_lts1.gpkg = Average Bike Access on LTS1 Network{MPO ID}_bi_2021_1200_lts2.gpkg = Average Bike Access on LTS2 Network{MPO ID}_bi_2021_1200_lts3.gpkg = Average Bike Access on LTS3 Network{MPO ID}_bi_2021_1200_lts4.gpkg = Average Bike Access on LTS4 NetworkFor mapping and geospatial analysis, the blocks shape layer within each geopackage can be joined to the blockid of the access attribute data. Opening and Using Geopackages in ArcGIS:Unzip the zip archiveUse the "Add Data" function in Arc to select the .gpkg fileSelect which layer(s) are needed — always select "main.blocks" as this layer contains the Census block shapes; select any other attribute data layers as well.There are three types of layers in the geopackage file — the "main.blocks" layer is the spatial features layer, and all other layers are either numerical attribute data tables, or the "fieldname_descriptions" metadata layer. The numerical attribute layers are named with the following format:[mode]_[threshold]_minutes[mode] is a two-character code indicating the transport mode used[threshold] is an integer indicating the travel time threshold used for this data layerTo use the data spatially, perform a join between the "main.blocks" layer and the desired numerical data layer, using either the numerical "id" fields, or 15-digit "blockid" fields as join fields.
DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]
Florida DOT (FDOT) installed Vehicle Awareness Devices (VADs) on a set of Lynx transit buses as part of a demonstration for the ITS World Congress held in Orlando in October 2011. These VADs recorded vehicle data during the World Congress and continue to operate after the World Congress. Periodically the VADs are removed from the vehicles and the data files are retrieved. FHWA Has confirmed that the data do not contain identification of individual transit operators or any other forms for Personally Identifiable Information (PII). This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.
The attendance of world-famous theme park Universal Studios Orlando fell to 9.75 million in 2023. This showed a decrease of 9.3 percent compared to the previous year, when over ten million guests were welcomed to the theme park.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Orlando-Kissimmee, FL - Total Real Gross Domestic Product for Orlando-Kissimmee-Sanford, FL (MSA) was 175313.25300 Mil. of Chn. 2009 $ in January of 2023, according to the United States Federal Reserve. Historically, Orlando-Kissimmee, FL - Total Real Gross Domestic Product for Orlando-Kissimmee-Sanford, FL (MSA) reached a record high of 175313.25300 in January of 2023 and a record low of 80633.61900 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Orlando-Kissimmee, FL - Total Real Gross Domestic Product for Orlando-Kissimmee-Sanford, FL (MSA) - last updated from the United States Federal Reserve on June of 2025.
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Graph and download economic data for Civilian Labor Force in Orlando-Kissimmee-Sanford, FL (MSA) (ORLA712LFN) from Jan 1990 to Apr 2025 about Orlando, civilian, labor force, FL, labor, and USA.
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Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Orlando-Kissimmee-Sanford, FL (MSA) (ENUC367440010) from Q1 1990 to Q4 2024 about covered, Orlando, establishments, average, FL, wages, employment, and USA.
The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Florida. The rooftop solar technical potential information is based on data from two different datasets. The first dataset is LiDAR data for the city of Orlando obtained from the Orlando Utilities Commission (OUC) (Koebrich et al. 2021). The second dataset is a national parcel dataset (HIFLD 2020) which contains descriptive data and geometries for parcels in the U.S. Parcel scale data from both these datasets have been processed and aggregated to block scale to produce these html maps. The first html map (block scale developable roof area for Orlando) contains the developable roof area for solar. The second html map (block scale rooftop solar technical potential for Orlando) contains the rooftop solar technical potential in units of kilowatts as well as additional information on the most common building use type and the most common building occupancy type for the block. These html maps are provided to demonstrate the proof-of-concept analysis conducted for Orlando.
This dataset provides information about the number of properties, residents, and average property values for Concord Street cross streets in Orlando, FL.
The revenue of the Orlando Magic franchise amounted to 285 million U.S. dollars in the 2023/24 season. This was an increase of nine percent from the previous season, when the estimated revenue of the National Basketball Association franchise totaled 261 million U.S. dollars.
Financial overview and grant giving statistics of Orlando Foundation
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Orlando by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orlando. The dataset can be utilized to understand the population distribution of Orlando by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orlando. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orlando.
Key observations
Largest age group (population): Male # 30-34 years (16,587) | Female # 25-29 years (17,072). 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:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
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 Orlando Population by Gender. You can refer the same here