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TwitterIn September 2025, prices had increased by three percent compared to September 2024, according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restraints, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.
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TwitterFY 2011 First Quarter High-Dollar Overpayments Report
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This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Dollar Baytamarack City Area K12 School vs. Michigan and Dollar Bay-Tamarack City Area Schools
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Mount Sterling. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/mount-sterling-wi-median-household-income-by-race-trends.jpeg" alt="Mount Sterling, WI median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Mount Sterling median household income by race. You can refer the same here
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TwitterFY 2011 Third Quarter High-Dollar Overpayments Report
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A comprehensive, daily-updated dataset of US Dollar to Iranian Rial exchange rates (USD/IRR) with historical data from November 2011 to present. This dataset is ideal for financial analysis, economic research, forecasting, and machine learning projects.
The CSV file contains the following columns:
| Column | Description | Format | Example |
|---|---|---|---|
| Open Price | Opening price of the day | Integer | 1012100 |
| Low Price | Lowest price of the day | Integer | 1011700 |
| High Price | Highest price of the day | Integer | 1034100 |
| Close Price | Closing price of the day | Integer | 1029800 |
| Change Amount | Price change amount | String | 15400 |
| Change Percent | Price change percentage | String | 1.52% |
| Gregorian Date | Gregorian date | YYYY/MM/DD | 2025/09/06 |
| Persian Date | Persian/Shamsi date | YYYY/MM/DD | 1404/06/15 |
This live dataset, scraper source code and workflow is available on GitHub where you can explore, download, and use it directly.
"https://kooroshkz.github.io/Dollar-Rial-Toman-Live-Price-Dataset/" target="_blank">
https://raw.githubusercontent.com/kooroshkz/Dollar-Rial-Toman-Live-Price-Dataset/main/assets/img/IntractiveChart.png">
Interactive charts and dataset overview are available at:
kooroshkz.github.io/Dollar-Rial-Toman-Live-Price-Dataset
import pandas as pd
# Load dataset
df = pd.read_csv('data/Dollar_Rial_Price_Dataset.csv')
# Convert date column to datetime
df['Gregorian Date'] = pd.to_datetime(df['Gregorian Date'], format='%Y/%m/%d')
# Price columns are already integers
price_columns = ['Open Price', 'Low Price', 'High Price', 'Close Price']
print(df[price_columns].dtypes) # All should be int64
# pip install kagglehub[hf-datasets]
import kagglehub
df = kagglehub.load_dataset(
"kooroshkz/dollar-rial-toman-live-price-dataset",
adapter="huggingface",
file_path="Dollar_Rial_Price_Dataset.csv",
pandas_kwargs={"parse_dates": ["Gregorian Date"]}
)
print(df.head())
# Load dataset
data <- read.csv("data/Dollar_Rial_Price_Dataset.csv", stringsAsFactors = FALSE)
# Convert date column
data$Gregorian.Date <- as.Date(data$Gregorian.Date, format = "%Y/%m/%d")
# View structure
str(data)
This dataset is maintained using an automated web scraping system that:
If you find data inconsistencies or have suggestions for improvements, please open an issue in the GitHub repository.
This project is licensed under the MIT License - see the LICENSE file for details.
If you use this dataset in your research or projects, please cite:
Dollar-Rial-Toman Live Price Dataset
Author: Koorosh Komeili Zadeh
Source: https://github.com/kooroshkz/Dollar-Rial-Toman-Live-Price-Dataset
Data Source: TGJU.org (Tehran Gold & Jewelry Union)
Date Range: November 2011 - Present
USD to Rial dataset, Dollar to Toman dataset, Iran exchange rate CSV, USD/IRR daily price, foreign exchange Iran dataset, TGJU data, time series currency dataset
This ...
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Newtown township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/newtown-township-bucks-county-pa-median-household-income-by-race-trends.jpeg" alt="Newtown township, Bucks County, Pennsylvania median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Newtown township median household income by race. You can refer the same here
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in San Pablo. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/san-pablo-ca-median-household-income-by-race-trends.jpeg" alt="San Pablo, CA median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 San Pablo median household income by race. You can refer the same here
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Spring Hope. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/spring-hope-nc-median-household-income-by-race-trends.jpeg" alt="Spring Hope, NC median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Spring Hope median household income by race. You can refer the same here
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Middletown township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/middletown-township-bucks-county-pa-median-household-income-by-race-trends.jpeg" alt="Middletown township, Bucks County, Pennsylvania median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Middletown township median household income by race. You can refer the same here
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Income-Before-Tax Time Series for Dollar General Corporation. Dollar General Corporation, a discount retailer, provides various merchandise products in the southern, southwestern, midwestern, and eastern United States. The company offers consumable products, including paper towels, bath tissues, paper dinnerware, trash and storage bags, disinfectants, and laundry products; packaged food, such as cereals, pasta, canned soups, canned meats, fruits and vegetables, condiments, spices, sugar, and flour; and perishables, including milk, eggs, bread, refrigerated and frozen food, beer, wine, and produce; candy, cookies, crackers, salty snacks, and carbonated beverages; over-the-counter medicines and personal care products including soap, body wash, shampoo, cosmetics, dental hygiene and foot care products; pet supplies and pet food; and tobacco products. It also provides seasonal products comprising holiday items, toys, batteries, small electronics, greeting cards, stationery, prepaid phones and accessories, gardening supplies, hardware, automotive, and home office supplies; home products include kitchen supplies, cookware, small appliances, light bulbs, storage containers, frames, candles, craft supplies and kitchen, and bed and bath soft goods; and apparel products for infants, toddlers, girls, boys, women and men, as well as socks, underwear, disposable diapers, shoes and accessories. The company was formerly known as J.L. Turner & Son, Inc. and changed its name to Dollar General Corporation in 1968. Dollar General Corporation was founded in 1939 and is based in Goodlettsville, Tennessee.
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TwitterFY 2011 Second Quarter High-Dollar Overpayments Report
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Other-Non-Cash-Items Time Series for Dollar Tree Inc. Dollar Tree, Inc. operates retail discount stores under the Dollar Tree and Dollar Tree Canada brands in the United States and Canada. The company offers consumable merchandise comprising everyday consumables, such as household paper and chemicals, food, candy, health, personal care products, and frozen and refrigerated food; variety merchandise consisting of toys, durable housewares, gifts, stationery, party goods, greeting cards, softlines, arts and crafts supplies, and other items; and seasonal goods, including Christmas, Easter, Halloween, and Valentine's Day merchandise. Dollar Tree, Inc. was founded in 1986 and is based in Chesapeake, Virginia.
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TwitterFY 2011 Fourth Quarter High-Dollar Overpayments Report
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Time series data for the statistic Exports_Dominica_to_Slovenia. Indicator Definition:Goods, Value of Exports, Free on board (FOB), US Dollars
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in University Park. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/university-park-md-median-household-income-by-race-trends.jpeg" alt="University Park, MD median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 University Park median household income by race. You can refer the same here
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The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Solon. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/solon-oh-median-household-income-by-race-trends.jpeg" alt="Solon, OH median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Solon median household income by race. You can refer the same here
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The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Warrington township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/warrington-township-bucks-county-pa-median-household-income-by-race-trends.jpeg" alt="Warrington township, Bucks County, Pennsylvania median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
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 Warrington township median household income by race. You can refer the same here
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TwitterIn 2024, the financial output of franchise establishments in the United States was highest in the quick service restaurants business line, where approximately *** billion U.S. dollars was generated. Second in terms of output was the retail food, products and services business line. Here, roughly *** billion U.S. dollars was made, with an ***** **** billion U.S. dollars of growth predicted for 2023.
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TwitterAs of May 2025, the London (morning fixing) price of an ounce of gold cost an average of ******** U.S. dollars, a slight increase compared to the average monthly morning fixing price of ******** U.S. dollars per ounce in the previous month.
London fixing gold price In January 2020, the average price for an ounce of fine gold was ******** U.S. dollars. It increased to ******** U.S. dollars as of April 2022. Although the monthly price for fine gold fluctuates, the average annual price of fine gold is gradually increasing. In 2001, the price for one ounce of gold was *** U.S. dollars, and by 2012 the price had risen to some ***** U.S. dollars. By 2024, the annual average gold price was nearly ***** dollars per ounce. In that year, global gold demand reached ******* metric tons worldwide. Price determinants of fine gold Fine gold is considered to be almost pure gold, where the value of the metal depends on the percentage of fineness. Twenty-four-carat gold is considered fine gold (from 99.9 percent gold by mass and higher). The London Gold Fix acts as a benchmark for the price of gold. The price of gold is set by the members of the London Gold Market Fixing Ltd undertaken by Barclays and its other members. The price is determined twice per business day at 10:30 am and 3:00 pm based on the London bullion market to settle contracts within the bullion market. The price is based on the equilibrium point between supply and demand agreed upon by participating banks. Gold prices must remain flexible, and gold fixing provides an instantaneous price at specified times.
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TwitterIn September 2025, prices had increased by three percent compared to September 2024, according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restraints, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.