Luis Muriel was Orlando City's highest-paid player in 2024, earning over 4.3 million U.S. dollars per year. Meanwhile, Facundo Torres earned just over 1.8 millions U.S. dollars a year.

Orlando City Soccer Club Orlando Florida da Major League Soccer da MLS Doğu Konferansı üyesi olarak yarışan bir Amerikan

City Limit boundaries as adopted by City Council on 07/24/1995; Doc #28654; containing individual annexations adopted by City Council adding to the boundary.

Orlando City Soccer Club Orlando Florida da Major League Soccer da MLS Doğu Konferansı üyesi olarak yarışan bir Ame

U.S. Census Bureau QuickFacts statistics for Orlando city, Florida. 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.

Orlando City Soccer Club Florida da bulunan bir futbol kulübüdür 2010 yılında kurulmuştur Maçlarını 5 300 kapasiteli nda

Exploria Stadyumu ingilizce Exploria Stadium Amerika Birleşik Devletleri nin Orlando şehrinde yer alan bir stadyumdur Am

Orlando Planning Land Use

This data set includes all business tax receipts issued by Permitting Services since 2010. The Business Tax Receipts because they are operating multiple types of businesses. For more information visit CityofOrlando.net/permits Disclaimer: The data is derived from the Economic Development Platform, we acknowledge there is always the possibility of mechanical or human error. The City of Orlando does not guarantee the accuracy of the information. The City of Orlando will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. Additionally, because City policy and operations regarding reporting might change, the data may have limited value for comparisons over time.

Orlando City Limits derived from council approved annexations

This dataset provides information about the number of properties, residents, and average property values for City Park Avenue cross streets in Orlando, FL.

ATTENTION: This data set is no longer receiving updates and will be retired on 11/15/2023. Please see the data set Business Tax Receipts to continue receiving regular updates.

This data set of Business Tax Receipts (BTRs) represents business licenses issued by Permitting Services since 2004, keeping the last or most recent year of activity per license. A single business license may include more than one business type. In these instances, the data set will include one row per business type under the same license number.

Disclaimer: This data is derived from the Economic Development Platform, we acknowledge there is always the possibility of mechanical or human error. The City of Orlando does not guarantee the accuracy of the information. The City of Orlando will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. Additionally, because City policy and operations regarding reporting might change, the data may have limited value for comparisons over time.

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.

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

This dataset contains information on the cluster characteristics, health effect estimates, and the meta-regression results. This dataset is associated with the following publication: Baxter, L., J. Crooks, and J. Sacks. Influence of exposure differences on city-to-city heterogeneity in PM2.5-mortality associations in US cities. ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16(1): 1-8, (2017).

County: Orange; Purpose: Flood waters; Owner/Driller: City of Orlando / Libby & Freeman;

County: Orange; Purpose: Storm drainage; Owner/Driller: City of Orlando / Gray Well & Pump;

Check fish activity forecast in Orlando, United-states, and find the best fishing times based on local tides, solunar data and other factors.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Orlando: 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 6,287(4.61%) households where the householder is under 25 years old, 63,635(46.67%) households with a householder aged between 25 and 44 years, 44,109(32.35%) households with a householder aged between 45 and 64 years, and 22,333(16.38%) 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 Orlando, 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) 2022 1-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 Orlando median household income by age. You can refer the same here

Geospatial data about Orlando Street Centerlines. Export to CAD, GIS, PDF, CSV and access via API.