Context:

The Bureau of Labor Statistics defines the Consumer Price Index (CPI) as “a statistical measure of change, over time, of the prices of goods and services in major expenditure groups--such as food, housing, apparel, transportation, and medical care--typically purchased by urban consumers. Essentially, it compares the cost of a sample of goods and services in a specific month relative to the cost of the same "market basket" in an earlier reference period.

Make sure to read the cu.txt for more descriptive summaries on each data file and how to use the unique identifiers.

Content:

This dataset was collected June 27th, 2017 and may not be up-to-date.

The revised CPI introduced by the BLS in 1998 includes indexes for two populations; urban wage earners and clerical workers (CW), and all urban consumers (CU). This dataset covers all urban consumers (CU).

The Consumer Price Index (CPI) is a statistical measure of change, over time, of the prices of goods and services in major expenditure groups--such as food, housing, apparel, transportation, and medical care--typically purchased by urban consumers. Essentially, it compares the cost of a sample "market basket" of goods and services in a specific month relative to the cost of the same "market basket" in an earlier reference period. This reference period is designated as the base period.

As a result of the 1998 revision, both the CW and the CU utilize updated expenditure weights based upon data tabulated from three years (1982, 1983, and 1984) of the Consumer Expenditure Survey and incorporate a number of technical improvements, including an updated and revised item structure.

To construct the two indexes, prices for about 100,000 items and data on about 8,300 housing units are collected in a sample of 91 urban places. Comparison of indexes for individual CMSA's or cities show only the relative change over time in prices between locations. These indexes cannot be used to measure interarea differences in price levels or living costs.

Summary Data Available: U.S. average indexes for both populations are available for about 305 consumer items and groups of items. In addition, over 100 of the indexes have been adjusted for seasonality. The indexes are monthly with some beginning in 1913. Semi-annual indexes have been calculated for about 100 items for comparison with semi-annual areas mentioned below. Semi-annual indexes are available from 1984 forward.

Area indexes for both populations are available for 26 urban places. For each area, indexes are published for about 42 items and groups. The indexes are published monthly for three areas, bimonthly for eleven areas, and semi-annually for 12 urban areas.

Regional indexes for both populations are available for four regions with about 55 items and groups per region. Beginning with January 1987, indexes are monthly, with some beginning as early as 1966. Semi-annual indexes have been calculated for about 42 items for comparison with semi-annual areas mentioned above. Semi-annual indexes have been calculated for about 42 items in the 27 urban places for comparison with semi-annual areas.

City-size indexes for both populations are available for three size classes with about 55 items and groups per class. Beginning with January 1987, indexes are monthly and most begin in 1977. Semi-annual indexes have been calculated for about 42 items for comparison with semi-annual areas mentioned below.

Region/city-size indexes for both populations are available cross classified by region and city-size class. For each of 13 cross calculations, about 42 items and groups are available. Beginning with January 1987, indexes are monthly and most begin in 1977. Semi-annual indexes have been calculated for about 42 items in the 26 urban places for comparison with semi-annual areas.

Frequency of Observations: U.S. city average indexes, some area indexes, and regional indexes, city-size indexes, and region/city-size indexes for both populations are monthly. Other area indexes for both populations are bimonthly or semi-annual.

Annual Averages: Annual averages are available for all unadjusted series in the CW and CU.

Base Periods: Most indexes have a base period of 1982-1984 = 100. Other indexes, mainly those which have been added to the CPI program with the 1998 revision, are based more recently. The base period value is 100.0, except for the "Purchasing Power" values (AAOR and SAOR) where the base period value is 1.000.

Data Characteristics: Indexes are stored to one decimal place, except for the "Purchasing Power" values which are stored to three decimal places.

References: BLS Handbook of Methods, Chapter 17, "Consumer Price Index", BLS Bulletin 2285, April 1988.

Acknowledgements:

This dataset was taken directly from the U.S. Bureau of Labor Statistics web...

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Net-a-Porter web scraped data

  About the website

The e-commerce industry, particularly the segment focusing on luxury fashion retail, is rapidly flourishing in the Americas, predominantly in the United States. Companies such as Net-a-Porter offer an extensive range of products, merging the lines between high fashion and accessible purchasing. Online platforms are revolutionizing traditional retail approaches, allowing businesses to stay ahead amid rapidly evolving consumer… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.United.States.

United States US: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data was reported at 1.000 % in 2017. This stayed constant from the previous number of 1.000 % for 2016. United States US: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data is updated yearly, averaging 1.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1.000 % in 2017 and a record low of 1.000 % in 2017. United States US: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Purchasing Power Parity. Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States. The ratio of PPP conversion factor to market exchange rate is the result obtained by dividing the PPP conversion factor by the market exchange rate. The ratio, also referred to as the national price level, makes it possible to compare the cost of the bundle of goods that make up gross domestic product (GDP) across countries. It tells how many dollars are needed to buy a dollar's worth of goods in the country as compared to the United States. PPP conversion factors are based on the 2011 ICP round.; ; World Bank, International Comparison Program database.; ;

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Mr Porter web scraped data

  About the website

Mr Porter operates within the e-commerce industry, specifically within the mens luxury fashion segment, in the United States. This industry has consistently demonstrated strong growth throughout the Americas, particularly in the United States where online retail is booming. The ability to purchase high-end fashion items online has revolutionized how American consumers shop, making upscale fashion more accessible. This… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Mr.Porter.Product.prices.United.States.

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

Between 1970 and 1989, the Soviet Union's population experienced a rate of natural increase that was consistently higher (sometimes by a significant margin) than that of the United States. In 1970, these increases were fairly similar at 9.2 and 8.8 per 1,000 population respectively, however the margin was considerably larger by the middle of the decade.

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Access real-time and historical US equity options data included as part of Databento's OPRA data feed. The NASDAQ Options Market offers immediate and automatic price improvement to orders. Orders designated to use the options routing feature are routed to other markets to ensure orders get the best price available. The NASDAQ Options Market also links to and complies with the obligations of the Options InterMarket Linkage.

United States House Price Index: FHFA: New York data was reported at 679.080 Mar1980=100 in Jun 2018. This records an increase from the previous number of 670.010 Mar1980=100 for Mar 2018. United States House Price Index: FHFA: New York data is updated quarterly, averaging 288.040 Mar1980=100 from Mar 1975 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 679.080 Mar1980=100 in Jun 2018 and a record low of 73.490 Mar1980=100 in Mar 1976. United States House Price Index: FHFA: New York data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s United States – Table US.EB014: House Price Index.

About this dataset

Context

The dataset tabulates the Price town 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 Price town 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 2022, the population of Price town was 226, a 0.89% increase year-by-year from 2021. Previously, in 2021, Price town population was 224, an increase of 0.45% compared to a population of 223 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Price town decreased by 17. In this period, the peak population was 250 in the year 2007. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Price town is shown in this column.
• Year on Year Change: This column displays the change in Price town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Price town Population by Year. You can refer the same here

United States US: Producer Price Index: % Change data was reported at 3.283 % in Jun 2018. This records an increase from the previous number of 3.108 % for May 2018. United States US: Producer Price Index: % Change data is updated monthly, averaging 2.560 % from Jan 1958 (Median) to Jun 2018, with 726 observations. The data reached an all-time high of 23.491 % in Nov 1974 and a record low of -16.058 % in Jul 2009. United States US: Producer Price Index: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.IFS: Consumer and Producer Price Index.

United States - Consumer Price Index for All Urban Consumers: Meats, Poultry, Fish, and Eggs in U.S. City Average was 344.27500 Index 1982-84=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Meats, Poultry, Fish, and Eggs in U.S. City Average reached a record high of 349.92800 in March of 2025 and a record low of 37.40000 in May of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Meats, Poultry, Fish, and Eggs in U.S. City Average - last updated from the United States Federal Reserve on June of 2025.

This statistic shows the average price of cellular data per gigabyte in the United States from 2018 to 2023. In 2018, the average price of cellular data was estimated to amount to 4.64 U.S. dollars per GB.

Italy is the country with the cheapest mobile data in Europe, with mobile customers paying an average of 0.27 U.S. dollars per gigabyte of data as of February 2021. Among the selected European countries, Norway had the highest average price for mobile data, with 5.81 U.S. dollars per gigabyte. This is, however, a significant decrease compared to 2019, when the average cost in Norway was 13.21 U.S. dollars.

Drug prices in the United States are, on average, significantly higher than in the other countries in this analysis. When excluding the U.S., the average prescription drug price of the other 11 countries is only around 27 percent of the price in the United States. This statistic shows the average prescription drug price in select countries compared to the U.S. average drug price under Medicare Part D, based on 2018 data.

Access Technographic Data for IT businesses in North America. Includes detailed insights into operations, verified contacts, and firmographics from 30M+ profiles. Best price guaranteed.

Core Consumer Prices in the United States increased to 325.48 points in February from 324.74 points in January of 2025. This dataset provides the latest reported value for - United States Core Consumer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States Median Home Sale Price: Townhouse: Port St. Lucie, FL data was reported at 189.000 USD th in Jul 2020. This records an increase from the previous number of 185.000 USD th for Jun 2020. United States Median Home Sale Price: Townhouse: Port St. Lucie, FL data is updated monthly, averaging 145.500 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 206.000 USD th in Jan 2020 and a record low of 83.000 USD th in Aug 2012. United States Median Home Sale Price: Townhouse: Port St. Lucie, FL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.