In 2024, the CPI in U.S. cities averaged at 313.7. However, the CPI for the New York-Newark-Jersey City metropolitan area amounted to about 334.21. Prices in New York City were significantly higher than the U.S. average. Nonetheless, the San Diego-Carlsbad area ranked first with a CPI of 373.32.The monthly inflation rate for the United States can be found here.

In July 2024, the inflation rate of Mexico compared to the same month of the previous year reached **** percentage points, the highest figure since, at least, the beginning of 2018. Tapachula, in the State of Chiapas, registered the largest year-on-year increase in prices, with inflation reaching **** percent.

A regional breakdown of the Consumer Price Index (CPI) in China reveals considerable variations across different regions. In February 2026, Tibet displayed a CPI of about 100.3 points (same month previous year = 100), whereas the CPI in Jilin province reached 102.1 points. Consumer price development in China The Consumer Price Index measures the average changes over time in the price level of a market basket of consumer goods and services purchased by consumers. It is closely related to the inflation rate. The consumer inflation rate is derived from the annual percentage increase of the CPI. After 2011, China experienced a slight decrease in domestic inflation. Between 2014 and 2018, the annual inflation rate ranged at around two percent or lower. In 2019, inflation increased again to 2.9 percent and remained high during 2020, but is forcast to decrease in the coming years. Monthly inflation rates peaked at 5.4 percent in January 2020 due to the coronavirus pandemic, but declined quickly in the following months and reached negative values in November 2020. Regional and sectoral inflation rates In recent years, inflation rates in the largest cities and developed regions often remained below those in developing regions in the inner provinces. The CPI in rural regions was on average slightly higher than in urban areas. The annual CPI of food, tobacco and liquor in China ranged among the highest during 2020 - mainly driven by rising pork and meat prices, whereas the transportation and communication’s CPI was one of the lowest. With the travel sector recovering from the coronavirus pandemic in the first half of 2021, monthly prices for transportation started to increase again.

As of April 2025, Genoa was the Italian municipality with the highest Consumer Price Index (CPI) increment over the price levels of April 2024, as a growth of *** percent was recorded. Padua followed with an increase of *** percent. Apart from Naples, Bari, and Reggio Calabria, all the other seven municipalities are located in northern Italian regions. Hence, prices incremented more in the north than in the south.

Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

In January 2026, the monthly inflation rate in China ranged at 0.2 percent compared to the same month in the previous year. Inflation had peaked at 2.8 percent in September 2022, but eased thereafter. The annual average inflation rate in China ranged at 0.0 percent in 2025. China’s inflation in comparison The term inflation means the devaluation of money caused by a permanent increase of the price level for products such as consumer or investment goods. The inflation rate is most commonly measured by the Consumer Price Index. The Consumer Price Index shows the price development for private expenses based on a basket of products representing the consumption of an average consumer household. Compared to other major economies in the world, China has a moderate and stable level of inflation. The inflation in China is on average lower than in other BRIC countries, although China enjoys higher economic growth rates. Inflation rates of developed regions in the world had for a long time been lower than in China, but that picture changed fundamentally during the coronavirus pandemic with most developed countries experiencing quickly rising consumer prices. Regional inflation rates in China In China, there is a regional difference in inflation rates. As of December 2025, Ningxia autonomous region experienced the highest CPI growth, while Sichuan province reported the lowest. In recent years, inflation rates in rural areas have often been slightly higher than in the cities. According to the National Bureau of Statistics of China, inflation was mainly fueled by a surge in prices for household items, healthcare, and clothes in recent months. The price gain in other sectors was comparatively slight. Transport prices have decreased recently, but had grown significantly in 2021 and 2022.

Consumer Price Index: DKI Jakarta: Food: Cereal, Cassava and Related Products data was reported at 147.440 2012=100 in Jun 2019. This records a decrease from the previous number of 147.480 2012=100 for May 2019. Consumer Price Index: DKI Jakarta: Food: Cereal, Cassava and Related Products data is updated monthly, averaging 138.800 2012=100 from Dec 2013 (Median) to Jun 2019, with 67 observations. The data reached an all-time high of 151.460 2012=100 in Feb 2018 and a record low of 108.710 2012=100 in Dec 2013. Consumer Price Index: DKI Jakarta: Food: Cereal, Cassava and Related Products data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IA028: Consumer Price Index: by Cities: Java: DKI Jakarta.

IESH: RBI: Inflation Expectations: Ahmedabad: Three Months Ahead: Standard Deviation data was reported at 4.200 % in Jun 2018. This records a decrease from the previous number of 4.300 % for May 2018. IESH: RBI: Inflation Expectations: Ahmedabad: Three Months Ahead: Standard Deviation data is updated monthly, averaging 3.600 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 5.500 % in Dec 2014 and a record low of 1.000 % in Jun 2013. IESH: RBI: Inflation Expectations: Ahmedabad: Three Months Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.

About this dataset

Context

The dataset presents the median household income across different racial categories in Horseheads town. 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 Horseheads town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 86.58% of the total residents in Horseheads town. Notably, the median household income for White households is $65,847. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $93,859. This reveals that, while Whites may be the most numerous in Horseheads town, Two or More Races households experience greater economic prosperity in terms of median household income.

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 Horseheads town.
• 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 Horseheads town median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Brookfield town. 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 Brookfield town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 84.82% of the total residents in Brookfield town. Notably, the median household income for White households is $78,500. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $190,536. This reveals that, while Whites may be the most numerous in Brookfield town, Two or More Races households experience greater economic prosperity in terms of median household income.

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 Brookfield town.
• 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 Brookfield town median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Manitowoc town. 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 Manitowoc town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 97.43% of the total residents in Manitowoc town. Notably, the median household income for White households is $78,056. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $90,938. This reveals that, while Whites may be the most numerous in Manitowoc town, Two or More Races households experience greater economic prosperity in terms of median household income.

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 Manitowoc town.
• 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 Manitowoc town median household income by race. You can refer the same here

IESH: RBI: Inflation Expectations: Hyderabad: Three Months Ahead: Standard Deviation data was reported at 4.600 % in Jun 2018. This records an increase from the previous number of 3.100 % for May 2018. IESH: RBI: Inflation Expectations: Hyderabad: Three Months Ahead: Standard Deviation data is updated monthly, averaging 2.950 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 5.100 % in Dec 2010 and a record low of 0.800 % in Sep 2017. IESH: RBI: Inflation Expectations: Hyderabad: Three Months Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.

As of September 2025, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

IESH: RBI: Inflation Expectations: Delhi: Three Months Ahead: Standard Deviation data was reported at 4.300 % in Jun 2018. This records an increase from the previous number of 4.100 % for May 2018. IESH: RBI: Inflation Expectations: Delhi: Three Months Ahead: Standard Deviation data is updated monthly, averaging 3.750 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 5.210 % in Sep 2009 and a record low of 1.430 % in Sep 2008. IESH: RBI: Inflation Expectations: Delhi: Three Months Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

IESH: RBI: Inflation Expectations: Bhopal: Three Months Ahead: Standard Deviation data was reported at 3.800 % in Jun 2018. This records a decrease from the previous number of 4.600 % for May 2018. IESH: RBI: Inflation Expectations: Bhopal: Three Months Ahead: Standard Deviation data is updated monthly, averaging 3.600 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 4.900 % in Jun 2011 and a record low of 1.060 % in Dec 2008. IESH: RBI: Inflation Expectations: Bhopal: Three Months Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.

Montevideo, Uruguay's capital, leads Latin American cities with the highest apartment sale prices in 2025, averaging ***** U.S. dollars per square meter. This figure surpasses other major metropolitan areas like Mexico City and Buenos Aires, highlighting significant disparities in real estate markets across the region. The data underscores the varying economic conditions and housing demand in different Latin American urban centers. Regional housing market trends While Montevideo tops the list for apartment prices, other countries in Latin America have experienced notable changes in their housing markets. Chile, for instance, saw the most substantial increase in house prices since 2010, with its nominal house price index surpassing *** points in early 2025. However, when adjusted for inflation, Mexico showed the highest inflation-adjusted percentage increase in house prices, growing by nearly *** percent in the first quarter of 2025, contrasting with a global decline of one percent. Home financing in Mexico The methods of home financing vary across Latin America. A breakdown of homeownership by financing method in Mexico reveals that about two-thirds of owner-occupied housing units were financed through personal resources in 2022. Nevertheless, government-backed loans such as Infonavit (Mexico’s National Housing Fund Institute), Fovissste (Housing Fund of the Institute for Social Security and Services for State Workers), and Fonhapo (National Fund for Popular Housing), play an important role for homebuyers, with just over ** percent of home purchases relying on such finance. Bank credit, which offers mortgage loans with interest rates ranging between **** and ** percent, appeared as a less popular option.

The statistic shows the inflation rate in Saudi Arabia from 1987 to 2022, with projections up until 2030. In 2023, the average inflation rate amounted to 2.33 percent compared to the previous year. Oil production in Saudi Arabia Saudi Arabia’s economy relies heavily on production and export of oil and petroleum. A look at the distribution of global oil reserves by country shows that only Venezuela possesses a higher share in global oil reserves than the Arab state. All in all, Saudi Arabia’s economy is doing quite well. The oil reserves in Saudi Arabia have increased over the last two decades, and the same can be said for the country’s gross domestic product. The unemployment rate has been stable, while the trade balance has shown a steady upwards trend with a significant jump in 2011. Accordingly, Saudi Arabia’s national debt in relation to gross domestic product has been decreasing dramatically over the last ten years. Saudi Arabia is also among the countries with the highest oil consumption worldwide; a ranking of the share of the major consuming countries in global oil consumption, which is led by the United States (which consume almost one fifth of global oil), places Saudi Arabia sixth, behind the US, Russia, and China. Being one of the leading oil producing countries, Saudi Arabia is also a member of OPEC (Organization of the Petroleum Exporting Countries), an association whose primary goal is regulating crude oil prices worldwide and coordinating the oil production and trade of the member countries. According to OPEC, the average price for crude oil has been rising since the 1960s.

IESH: RBI: Inflation Expectations: Bangalore: Three Months Ahead: Standard Deviation data was reported at 2.900 % in Jun 2018. This records an increase from the previous number of 2.300 % for May 2018. IESH: RBI: Inflation Expectations: Bangalore: Three Months Ahead: Standard Deviation data is updated monthly, averaging 2.760 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 5.000 % in Jun 2014 and a record low of 0.900 % in Jun 2011. IESH: RBI: Inflation Expectations: Bangalore: Three Months Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.

IESH: RBI: Inflation Expectations: Ahmedabad: One Year Ahead: Standard Deviation data was reported at 4.400 % in Jun 2018. This stayed constant from the previous number of 4.400 % for May 2018. IESH: RBI: Inflation Expectations: Ahmedabad: One Year Ahead: Standard Deviation data is updated monthly, averaging 3.450 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 5.830 % in Dec 2008 and a record low of 1.000 % in Mar 2011. IESH: RBI: Inflation Expectations: Ahmedabad: One Year Ahead: Standard Deviation data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC005: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Major Cities.