In 2022, the population of the Cleveland-Elyria metropolitan area in the United States was about 2.06 million people. This is a slight decrease from the previous year, when the population was about 2.07 million people.

Graph and download economic data for Unemployment Rate in Cleveland-Elyria, OH (MSA) (LASMT391746000000003) from Jan 1990 to Dec 2024 about Cleveland, OH, household survey, unemployment, rate, and USA.

TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2018-2022. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

Graph and download economic data for Unemployed Persons in Cleveland-Elyria, OH (MSA) (LAUMT391746000000004) from Jan 1990 to Dec 2024 about Cleveland, OH, household survey, unemployment, persons, and USA.

This layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-IData downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This dataset is about cities and is filtered where the city includes Cleveland, featuring 7 columns including city, continent, country, latitude, and longitude. The preview is ordered by population (descending).

Graph and download economic data for Civilian Labor Force in Cleveland, TN (MSA) (LAUMT471742000000006A) from 1990 to 2023 about Cleveland, TN, civilian, labor force, labor, household survey, and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Cleveland. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Cleveland population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 52.17% of the total residents in Cleveland. Notably, the median household income for Black or African American households is $24,555. Interestingly, despite the Black or African American population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $115,207. This reveals that, while Black or African Americans may be the most numerous in Cleveland, Asian households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/cleveland-ms-median-household-income-by-race.jpeg" alt="Cleveland median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Cleveland.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Cleveland median household income by race. You can refer the same here

Graph and download economic data for Unemployed Persons in Cleveland, TN (MSA) (LAUMT471742000000004A) from 1990 to 2023 about Cleveland, TN, household survey, unemployment, persons, and USA.

This data was created as part of a study that examined the accessibility to jobs by transit in 46 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. This data was created as part of a study that examined the accessibility to jobs by transit in 46 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. Downloads are available for individual metropolitan regions in CSV or Shapefile format. Combined ZIP files containing the data for all metropolitan regions are also available in CSV and Shapefile format, and are labeled as 'All Metropolitan Regions.'

Graph and download economic data for Unemployment Rate in Cleveland, TN (MSA) (LAUMT471742000000003A) from 1990 to 2023 about Cleveland, TN, household survey, unemployment, rate, and USA.

The study was designed to help increase the capacity of programs to prevent gender violence and harassment (GV/H) among middle school youth. The long-term goal of the study was to help prevent intimate partner violence, sexual violence, and sexual harassment by employing rigorous methods to evaluate strategies for altering violence-supportive attitudes and norms of youth. Specifically, the study was structured to evaluate the relative effectiveness of common approaches to youth GV/H prevention programming (in terms of knowledge, attitudes, intended behavior, behavior, and emotional safety of youth participants) for one of the youngest populations ever studied in this area. In a longitudinal randomized controlled trial study, two five-lesson curricula were created to address gender violence and harassment (GV/H) in middle schools, and classrooms were assigned randomly to treatment and control groups. Treatment 1 was an interaction-based curriculum focused on the setting and communication of boundaries in relationships, the determination of wanted and unwanted behaviors, and the role of the bystander as intervener. Treatment 2 was a law and justice curriculum focused on laws, definitions, information, and data about penalties for sexual assault and sexual harassment. The control group did not receive either treatment. Pencil-and-paper surveys were designed for students to complete, and were administered either by a member of the research team or by teachers who were trained by a member of the research team in proper administration processes. Data were collected from three inner-ring suburbs of Cleveland, Ohio, from November 2006 to May 2007. Surveys were distributed at three different times: immediately before the assignment to one of the three study conditions, immediately after the treatment (or control condition) was completed, and 5-6 months after their assignment to one of the three study conditions. The data contain responses for 1,507 students over 3 waves. Additionally, researchers used multiple imputations for this dataset which resulted in 5 imputed datasets for each record for a total of 7,535 cases in the data file. The data have 697 variables, including from such questions as whether someone had ever or in the past 6 months done something to the respondent such as slapped or scratched the respondent, hit the respondent, or threatened the respondent. Additionally, respondents were asked if they had done these same actions to someone else. Respondents were also asked a series of questions regarding whether they had ever been sexually harassed by someone or if they had sexually harassed someone themselves. Next, respondents were asked to rate whether they agreed with a series of statements such as "It is all right for a girl to ask a boy out on a date", "If you ignore sexual harassment, more than likely it will stop", and "Making sexual comments to a girl is wrong". Students were then asked to indicate whether a series of statements were true or false, such as "If two kids who are both under the age of 16 have sex, it is not against the law" and "If a person is not physically harming someone, then they are not really abusive". Respondents were then asked to read three scenarios and indicate how they would respond in that scenario. Also, students indicated how likely they would be to react in specified ways to a prepared statement. Data also provide demographic information such as age, gender, and ethnic/racial background, as well as variables to generically identify school district, school, and class period.

In 2011, Buffalo, New York was the major city in the United States with the most partial to heavy cloud cover, with 311 days of clouds in that year. Seattle, Pittsburg, Rochester, and Cleveland rounded out the top five cities.

Buffalo’s climate

Buffalo, New York, is located on the eastern end of Lake Erie and is the origin point of the Niagara River, and its location on Lake Erie helps to regulate the city’s climate. However, between 1981 and 2010, it had an average of 167 days with more than 0.01 inches of rainfall per year, and also had an average wind speed of 11.8 miles per hour.

The second largest city in New York

Buffalo is the second largest city in New York state, with a metro area population of 1.13 million in 2017. The city is not far from Niagara Falls, which was listed as one of the most expensive summer destinations in the state of New York.