Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Data was pulled from a table in the following Wikipedia article: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population I used Microsoft Excel's PowerQuery function to pull the table from Wikipedia. Lists each city, its rank (based on 2020 population), some data on its area, and population in both 2020 and 2010.
Banner image source: https://unsplash.com/photos/wh-7GeXxItI
Facebook
TwitterThis statistic shows the top 25 cities in the United States with the highest resident population as of July 1, 2022. There were about 8.34 million people living in New York City as of July 2022.
Facebook
Twitterhttps://www.illinois-demographics.com/terms_and_conditionshttps://www.illinois-demographics.com/terms_and_conditions
A dataset listing Illinois cities by population for 2024.
Facebook
Twitterhttps://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions
A dataset listing Washington cities by population for 2024.
Facebook
Twitterhttps://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions
A dataset listing Florida cities by population for 2024.
Facebook
TwitterIn 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.
Facebook
Twitterhttps://www.tennessee-demographics.com/terms_and_conditionshttps://www.tennessee-demographics.com/terms_and_conditions
A dataset listing Tennessee cities by population for 2024.
Facebook
Twitterhttps://www.montana-demographics.com/terms_and_conditionshttps://www.montana-demographics.com/terms_and_conditions
A dataset listing Montana cities by population for 2024.
Facebook
Twitterhttps://www.mississippi-demographics.com/terms_and_conditionshttps://www.mississippi-demographics.com/terms_and_conditions
A dataset listing Mississippi cities by population for 2024.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 4 cities in the Yazoo County, MS by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 4 cities in the Pearl River County, MS by Multi-Racial Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains different collected datasets with crime data of many large cities. Below are the descriptions for each seperate dataset. Note: Dataset properties and column may differ from each other since the information was collected by the local police in different styles and situations.
The Los Angeles dataset has the collected data on different crimes that happened in Los Angeles from 2000 up until May 2024. The columns are as follows:
DR_NO - Division of Records Number: Official file number made up of a 2 digit year, area ID, and 5 digits
Date Rptd - The date when the police found out about the crime
Date OCC - The actual date of the crime
Time OCC - In military time
Area - The LAPD has 21 Community Police Stations referred to as Geographic Areas within the department. These Geographic Areas are sequentially numbered from 1-21.
Area Name - The 21 Geographic Areas or Patrol Divisions are also given a name designation that references a landmark or the surrounding community that it is responsible for. For example 77th Street Division is located at the intersection of South Broadway and 77th Street, serving neighborhoods in South Los Angeles.
Rpt Dist No - A four-digit code that represents a sub-area within a Geographic Area. All crime records reference the "RD" that it occurred in for statistical comparisons. Find LAPD Reporting Districts on the LA City GeoHub at http://geohub.lacity.org/datasets/c4f83909b81d4786aa8ba8a74a4b4db1_4
Crm Cd - Indicates the crime committed. (Same as Crime Code 1)
Crm Cd Desc - Defines the Crime Code provided.
Mocodes - Modus Operandi: Activities associated with the suspect in commission of the crime.
Vict Age - The age of the victim
Vict Sex - The gender of the victim. They are as follows:
Vict Descent - Descent Code:
Premis Cd - The type of structure, vehicle, or location where the crime took place.
Premis Desc - Defines the Premise Code provided.
Weapon Used Cd - The type of weapon used in the crime.
Status - Status of the case. (IC is the default)
Status Desc - Defines the Status Code provided.
Crm Cd 1 - Indicates the crime committed. Crime Code 1 is the primary and most serious one. Crime Code 2, 3, and 4 are respectively less serious offenses. Lower crime class numbers are more serious.
Crm Cd 2 - May contain a code for an additional crime, less serious than Crime Code 1.
Crm Cd 3 - May contain a code for an additional crime, less serious than Crime Code 1.
Crm Cd 4 - May contain a code for an additional crime, less serious than Crime Code 1.
Location - Street address of crime incident rounded to the nearest hundred block to maintain anonymity.
Cross Street - Cross Street of rounded Address
LAT - Latitude
LON - Longitude
This dataset has 28 columns and 944K rows. I hope you will find it useful. God bless you
This dataset contains crime data on Chicago, from 2001 to present. The columns are as follows:
ID - Unique Identifier for the record
Case Number - The Chicago Police Department RD Number (Records Division Number), which is unique to the incident.
Date - Date when the incident occurred. this is sometimes a best estimate.
Block - The partially redacted address where the incident occurred, placing it on the same block as the actual address.
IUCR - The Illinois Unifrom Crime Reporting code. This is directly linked to the Primary Type and Description. See the list of IUCR codes at https://data.cityofchicago.org/d/c7ck-438e..
Primary Type - The primary description of the IUCR code.
Description - The secondary description of the IUCR code, a subcategory of the primary description.
Location Description - Description of the location where the incident occurred.
Arrest - Indicates whether an arrest was made.
Domestic - Indicates whether the incident was domestic-related as defined by the Illinois Domestic Violence Act.
Beat - Indicates the beat where the incident occurred. A beat is the smallest police geographic area – each beat has a dedicated police beat car. Three to five beats make up a police sector, and three sectors make up a police district. The Chicago Police Department has 22 police districts. See the beats at https://data.cityofchicago.org/d/aerh-rz74.
Distric...
Facebook
Twitterhttps://www.arkansas-demographics.com/terms_and_conditionshttps://www.arkansas-demographics.com/terms_and_conditions
A dataset listing Arkansas cities by population for 2024.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 4 cities in the McLean County, KY by Multi-Racial Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Arkansas City 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 Arkansas City. The dataset can be utilized to understand the population distribution of Arkansas City by age. For example, using this dataset, we can identify the largest age group in Arkansas City.
Key observations
The largest age group in Arkansas City, AR was for the group of age 50-54 years with a population of 70 (15.52%), according to the 2021 American Community Survey. At the same time, the smallest age group in Arkansas City, AR was the 35-39 years with a population of 4 (0.89%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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 Arkansas City Population by Age. You can refer the same here
Facebook
Twitterhttps://www.newmexico-demographics.com/terms_and_conditionshttps://www.newmexico-demographics.com/terms_and_conditions
A dataset listing New Mexico cities by population for 2024.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Where should we live in the next 10 years? Where should we settle down without relying on public transport? Which city should we move to without fearing losing our homes?
As weather patterns become more unpredictable with aggressive changes in temperatures, I collected some data below to see if there would be a city that could help assess our answers to the prior questions. I am curious to see if cities that typically have great infrastructure for walking, biking or public transit will be better prepared than those that are more typically car centric. Whichever you prefer, we can have a sense on where you might be migrating, and to which areas.
Here's how the data was collected:
The columns have different rating systems. The counties have all major climate risks expected in the future, while corresponding cities in each county have walking, transit and biking scores to assess livability without cars.
Understanding County Climate Risks The counties were were represented on a 1- 10 scale, based on RCP 8.5 levels. Here are the following explanations (0 = lowest, 10 = highest)
1) Heat: Heat is one of the largest drivers changing the niche of human habitability. Rhodium Group researchers estimate that, between 2040 and 2060 extreme temperatures, many counties will face extremely high temperatures for half a year. The measure shows how many weeks per year will we anticipate temperatures to soar above 95 degrees. (0 = 0 weeks, 10 = 26 weeks).
2) Wet Bulb: Wet bulb temperatures occur when heat meets excessive humidity. This is commonplace across cities that have a urban island heat effects (dense concentration of pavements, less nature, higher chances of absorbing heat). That combination creates wet bulb temperatures, where 82 degrees can feel like southern Alabama on its hottest day, making it dangerous to work outdoors and for children to play school sports. As wet bulb temperatures increase even higher, so will the risk of heat stroke — and even death. The measure shows how many days will a county experience high wet bulb temperatures yearly, from 2040 to 2060. (0 = 0 days, 10 = 70 days)
3) Farm Crop Yield: With rising temperatures, it will become more difficult to grow food. Corn and soy are the most prevalent crops in the U.S. and the basis for livestock feed and other staple foods, and they have critical economic significance. Because of their broad regional spread, they offer the best proxy for predicting how farming will be affected by rising temperatures and changing water supplies. As corn and soy production gets more sensitive to heat than drought, the US will see a huge continental divide between cooler counties now having more ability to produce, while current warmer counties loosing all abilities to produce basic crops. The expected measure shows the percent decline yields from 2040 to 2060 (0 = -20.5% decline, 10 = 92% decline).
4) Sea Level Rise: As sea levels rise, the share of property submerged by high tides increases dramatically, affecting a small sliver of the nation's land but a disproportionate share of its population. The rating measures how much of property in the county will go below high tide from 2040 to 2060 (0 = 0%, 10 = 25%).
5) Very Large Fires: With heat and evermore prevalent drought, the likelihood that very large wildfires (ones that burn over 12,000 acres) will affect U.S. regions increases substantially, particularly in the West, Northwest and the Rocky Mountains. The rating calculates how many average number of large fires will we expect to see per year (0 = N/A, 10 = 2.45) from 2040 to 2071.
6) Economic Damages: Rising energy costs, lower labor productivity, poor crop yields and increasing cr...
Facebook
Twitterhttps://www.southcarolina-demographics.com/terms_and_conditionshttps://www.southcarolina-demographics.com/terms_and_conditions
A dataset listing South Carolina cities by population for 2024.
Facebook
Twitterhttps://www.alabama-demographics.com/terms_and_conditionshttps://www.alabama-demographics.com/terms_and_conditions
A dataset listing Alabama cities by population for 2024.
Facebook
Twitterhttps://www.southdakota-demographics.com/terms_and_conditionshttps://www.southdakota-demographics.com/terms_and_conditions
A dataset listing South Dakota cities by population for 2024.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Data was pulled from a table in the following Wikipedia article: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population I used Microsoft Excel's PowerQuery function to pull the table from Wikipedia. Lists each city, its rank (based on 2020 population), some data on its area, and population in both 2020 and 2010.
Banner image source: https://unsplash.com/photos/wh-7GeXxItI