Dataset

This dataset was created by Ilias Aslanov

Contents

This dataset is about cities in the United Kingdom. It has 861 rows. It features 4 columns: country, population, and latitude.

This dataset contains a listing of incorporated places (cities and towns) and counties within the United States including the GNIS code, FIPS code, name, entity type and primary point (location) for the entity. The types of entities listed in this dataset are based on codes provided by the U.S. Census Bureau, and include the following: C1 - An active incorporated place that does not serve as a county subdivision equivalent; C2 - An active incorporated place legally coextensive with a county subdivision but treated as independent of any county subdivision; C3 - A consolidated city; C4 - An active incorporated place with an alternate official common name; C5 - An active incorporated place that is independent of any county subdivision and serves as a county subdivision equivalent; C6 - An active incorporated place that partially is independent of any county subdivision and serves as a county subdivision equivalent or partially coextensive with a county subdivision but treated as independent of any county subdivision; C7 - An incorporated place that is independent of any county; C8 - The balance of a consolidated city excluding the separately incorporated place(s) within that consolidated government; C9 - An inactive or nonfunctioning incorporated place; H1 - An active county or statistically equivalent entity; H4 - A legally defined inactive or nonfunctioning county or statistically equivalent entity; H5 - A census areas in Alaska, a statistical county equivalent entity; and H6 - A county or statistically equivalent entity that is areally coextensive or governmentally consolidated with an incorporated place, part of an incorporated place, or a consolidated city.

This short article explores a variety of different data for 12 large cities in the UK compared with a selection of other European cities. It is designed to highlight the variety of data on offer through the Urban Audit IV data source and to explore some aspects of the quality of life experienced in these cities. Data for UK cities are published alongside this article. Source agency: Office for National Statistics Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Urban Audit IV – United Kingdom cities compared with other European cities

About this dataset

Context

This list ranks the 27808 cities in the United States 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.

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 Black Population: This column displays the rank of cities in the United States by their Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Black Population: The Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total U.S. Black Population: This tells us how much of the entire United States Black population lives in that cities. 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/.

Towns in England and Wales: towns list, cities list, classification and population data.

This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

This layer is sourced from maps.bts.dot.gov.

This dataset contains tabular data at three scales (city, tract, and synoptic site) and related vector shapefiles (for watersheds or buffers around synoptic sites) for areas included in the Carbon in Urban River Biogeochemistry Project (CURB) to assess how social, built, and biophysical factors shape aquatic functions. The city scale included 486 urban areas in the continental United States with greater than 50,000 residents. Tabular data are provided for each urban area (CURB_CensusUrbanArea.csv) and all U.S. Census tracts within seven urban areas (Atlanta, GA, Boston, MA, Miami, FL, Phoenix, AZ, Portland, OR, Salt Lake City, UT, and San Francisco, CA; CURB_CensusTract.csv) to characterize a range of social, built, and biophysical factors. In six focal cities (Baltimore, MD, Boston, MA, Atlanta, GA, Miami, FL, Salt Lake City, UT, and Portland, OR) up to 100 sites were selected for synoptic water quality sampling. For each synoptic site tabular data (CURB_SynopticSite.csv) are provided to characterize a range of social, built, and biophysical factors within the watershed (Atlanta, Baltimore, Boston, Portland, Salt Lake City) or within a buffer of the site (Miami). Vector shapefiles are provided for the watershed boundaries (CURB_Synoptic_Watersheds.zip) for all synoptic sites in each city except Miami, FL where 400-m buffers (CURB_Miami_Synoptic_Buffers.zip) around the synoptic site were used.

This map layer includes cities and towns in Oregon. These cities were clipped from a larger dataset of cities collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December 2003 map layer.

This dataset is about countries in the United Kingdom. It has 1 row. It features 5 columns: currency, capital city, continent, and population.

This dataset provides detailed information about the population of all the 300 US Cities for the years 2024 and 2020. It includes the annual population change, population density, and the area of all the US cities.

About this dataset

Context

This list ranks the 27808 cities in the United States by American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities 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 Native American Population: This column displays the rank of cities in the United States by their American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Native American Population: The Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total U.S. Native American Population: This tells us how much of the entire United States Native American population lives in that cities. 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 comprises residential properties listed for rent in the United Kingdom, ranging from 1bedroom to larger facilities. The data span from properties spread out in the major UK cities including Greater London, Greater Manchester, Birmingham, Leeds etc

The Counties dataset was updated on October 31, 2023 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are mostly as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529015

About this dataset

Context

This list ranks the 27808 cities in the United States by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities 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 White Population: This column displays the rank of cities in the United States by their White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• White Population: The White population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total U.S. White Population: This tells us how much of the entire United States White population lives in that cities. 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/.

Context

DA_Avocado_PJ is a personal data analysis project, was create based on the original Avocado Prices data from the Hass Avocado Board (an U.S avocado database) posted on Kaggle by Justin Kiggins (2018) and updated to 2020 by TIMOFEI KORNEV. Finally updated to 2022 by me.

In this project, I will conduct an analysis of the avocado market in the US, helping businesses understand the avocado market in the US over the years and development orientation for business in the future by analyzing Price, Volume Sold, Revenue of avocado in U.S.

In this analysis I will solve 3 main problems:

• How is the avocado market in the US from 2015 to 2022?
• What kind of avocado should be sold?
• Where we should sell that avocado?

About data

date: The date of the observation geography: The city or region of the observation total_volume: Total number of avocados sold average_price: The average price of a single avocado _4046,_4225,_4770: Total number of avocados with PLU 4046,4225,4770 sold type : Conventional or organic

Prepare data

First, I need to update this data to 2022. Because the original data is only updated from 2015 to 2020.

After that, I categorize the dataset into 2 types:

• avocado_isUS_2022: Is a dataset representing totals across the United States

• avocado_notUS_2022: Is a dataset showing only cities and regions in the United States

But

After looking through the data, I recognize that the geography column in avocado_notUs_2022 was mixed between region and city,

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12751256%2F5544e85f498a2583158a1dd041b4a61f%2Fz4389182271817_9741866e8d44933bdbc8bf09c225adb4.jpg?generation=1685428625135895&alt=media" alt="">

midsouth : is a region include many cities but Hartford/Springfield is two big cities in Connecticut

So I decided to separate it.

Then I reviewed and removed some blank, negative values in two final dataset.

And Finally, we have

• avocado_isUS_2022: Overall data on the US, used to analyze the assessment of the avocado market in the US from 2015 - 2022

• avocado_detail: Data only includes cities from 2015 - 2022

Analysis

1. An overview analysis report on the avocado market in the US from 2015 to 2022

(Overview Eng)

(Overview Vie)

The results show that the US avocado market has just gone through a major crisis in 2020 and is showing signs of recovery. This sign of recovery is strongly expressed in Organic avocados, especially in the 4770 type. The analysis also shows that there is a trend towards organic avocado varieties after the crisis, even though they are more expensive. The analysis results show that the best time to sell avocados is from early spring to the end of summer.

1. In-depth analysis of avocado market through cities, focusing on Organic avocado varieties

(Deep Eng)

(Deep Vie)

In this analysis we will only focus on the Organic variety, because of its prominence in the previous analysis. In addition, 2020 will be the base mark for this analysis, to show how the recovery level of each city varies.

Top 5 cities with the highest revenue from Organic avocados in the last 3 years 1. New York 2. Los Angeles 3. San Francisco 4. Seattle 5. Portland

The analysis results show that Seattle is really a potential city for participating in the avocado market in the US, with the dominance in volume as well as the highest selling price in 2022.

In this project I also created a dynamic dashboard by Power BI but sadly is it's in pbix file and hard for me while Microsoft to limit the dashboard to only pbix or pdf so I can't share it 😭😭😭

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12751256%2Fab08cec7f8d13b757713e039fbfb4584%2FAvocado_fn-1.jpg?generation=1685432960051688&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12751256%2Fdaf5313745fb737010377335c96bedd3%2FAvocado_fn-2.jpg?generation=1685432975149069&alt=media" alt="">![](https://www.googleapis....

Utility Data

The data is extracted from geonames, a very exhaustive list of worldwide toponyms. It can be joined with datasets containing geographic fields to facilitate geospatial analysis including mapping.

This datapackage only lists cities above 15,000 inhabitants. Each city is associated with its country and subcountry to reduce the number of ambiguities. Subcountry can be the name of a state (e.g., in United Kingdom or the United States of America) or the major administrative section (e.g., ''region'' in France''). See admin1 field on geonames website for further info about subcountry.

Notice that:

• Some cities like Vatican City or Singapore are a whole state so they don't belong to any subcountry. Therefore subcountry is N/A.

• There is no guaranty that a city has a unique name in a country and subcountry (At the time of writing, there are about 60 ambiguities). But for each city, the source data primary key geonameid is provided.

Preparation

You can run the script yourself to update the data and publish them to GitHub/Kaggle: see scripts README

Acknowledgments and License

All data is licensed under the Creative Common Attribution License as is the original data from geonames. This means you have to credit geonames when using the data. And while no credit is formally required a link back or credit to Lexman and the Open Knowledge Foundation is much appreciated. This dataset description is reproduced here from its original source with slight modifications.

About this dataset

Context

This list ranks the 55616 cities in the United States by Non-Hispanic Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities 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 Asian Population: This column displays the rank of cities in the United States by their Non-Hispanic Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Asian Population: The Non-Hispanic Asian population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total U.S. Non-Hispanic Asian Population: This tells us how much of the entire United States Non-Hispanic Asian population lives in that cities. 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/.

About this dataset

Context

This list ranks the 19,348 cities in the United States by Ghanaian 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
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Ghanaian Population: This column displays the rank of city in the United States by their Ghanaian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Ghanaian Population: The Ghanaian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Ghanaian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total United States Ghanaian Population: This tells us how much of the entire United States Ghanaian 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: This 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/.