This dataset provides values for INFLATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for FOOD INFLATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

When inflation occurs in a country, the value of the currency decreases. That means that the purchasing power consumers have with a fixed amount of money decreases. Wages, especially lower and middle class wages, usually increase at a MUCH slower rate than prices of consumer goods; so consumers are likely to make the same wage, but are not able to buy the same amount of goods and services. Consumers in countries with hyperinflation suffer greatly because of this economic phenomenon.

Data was downloaded from: Link

For notes/metadata regarding the definition, measurement, or data collection for a certain country or group can be found by downloading the excel file from the linked webpage.

Original data provider: International Monetary Fund, World Development Indicators. License : CC BY-4.0.

INDICATOR_CODE: FP.CPI.TOTL.ZG

INDICATOR_NAME: Inflation, consumer prices (annual %)

SOURCE_NOTE: Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly.
The Laspeyres formula is generally used.

Years included: 1960-2016

The following countries have no values for any year:

• Somalia

• Puerto Rico

• Guam

• US Virgin Islands

The dataset also conains some records that refer to groups of countries, which may be useful for those with no recorded values. Some of those groups are:

• Fragile and conflict affected situations

• Heavily indebted poor countries (HIPC)

• Caribbean small states

• Latin America & Caribbean (excluding high income)

• Latin America & the Caribbean (IDA & IBRD countries)

• East Asia & Pacific (excluding high income)

• East Asia & Pacific (IDA & IBRD countries)

• Least developed countries: UN classification

• Middle East & North Africa (IDA & IBRD countries)

If this data is being used for the Kiva Crowdfunding Data Science for Good event; The following countries (as they are named in this dataset), are named slightly differently in the Kiva dataset (to the best of my knowledge). For example, West Bank in Gaza is referred to as Palestine in the Kiva Dataset.

• Congo, Dem. Rep.

• Congo, Rep.

• Kyrgyz Republic

• Lao PDR

• Myanmar

• West Bank and Gaza

• St. Vincent and the Grenadines

• Virgin Islands (U.S.)

• Yemen, Rep.

Correlation of the sentiment scores with unemployment rate and the dataset for Nigeria and South Africa.

The provided data consists of various economic indicators for multiple countries, primarily in Africa, over a range of years from 2015 to 2024. Each row represents a specific indicator for a country, identified by its name, code, and the series of data being reported. The indicators include:Foreign Direct Investment (FDI): Net inflows measured in current US dollars, which indicate the amount of investment made by foreign entities in the country.CPIA Quality of Public Administration Rating: A rating from 1 (low) to 6 (high) that assesses the quality of public administration in the country.GDP (Gross Domestic Product): The total economic output of the country measured in current US dollars.Inflation Rate: The annual percentage change in consumer prices, indicating the rate at which prices for goods and services rise.Mobile Cellular Subscriptions: The number of mobile cellular subscriptions per 100 people, reflecting the level of mobile connectivity in the country.Access to Electricity: The percentage of the population with access to electricity, indicating the level of infrastructure development.Exports and Imports of Goods and Services: The total value of goods and services exported and imported, measured in current US dollars.Total Natural Resources Rents: The percentage of GDP derived from natural resources, indicating the economic reliance on natural resource extraction.Control of Corruption Estimate: A measure of corruption levels, where lower values indicate higher perceived corruption.Regulatory Quality Estimate: A measure of the quality of regulations and their enforcement, where higher values indicate better regulatory quality.Key Observations:Economic Trends: The data shows fluctuations in GDP, FDI, and inflation rates across different countries, reflecting varying economic conditions and policies.Investment Climate: Countries like Algeria and Egypt show significant FDI inflows, while others like South Sudan and Zimbabwe exhibit negative trends in FDI, indicating challenges in attracting foreign investment.Public Administration: The CPIA ratings suggest that many countries struggle with public administration quality, which can impact governance and economic performance.Infrastructure Development: Access to electricity and mobile subscriptions indicate varying levels of infrastructure development, with some countries achieving near-universal access while others lag behind.Corruption and Regulation: The control of corruption and regulatory quality estimates highlight governance challenges that can affect economic growth and investment.Conclusion:This dataset provides a comprehensive overview of the economic landscape across various African nations, highlighting both opportunities and challenges. It can be used for further analysis of economic policies, investment strategies, and development initiatives in the region.

About this dataset

Context

The dataset presents the median household income across different racial categories in Country Club Hills. 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 Country Club Hills population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 85.35% of the total residents in Country Club Hills. Notably, the median household income for Black or African American households is $48,209. Interestingly, Black or African American is both the largest group and the one with the highest median household income, which stands at $48,209.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Country Club Hills.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 Country Club Hills median household income by race. You can refer the same here

Inflation Rate in Ghana decreased to -0.40 percent in October from 9.40 percent in September of 2025. This dataset provides - Ghana Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.