Inflation Rate in Puerto Rico decreased to 1.40 percent in February from 1.80 percent in January of 2025. This dataset provides - Puerto Rico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The latest inflation rate, i.e. the percent change in the CPI from a year ago to now, in Puerto Rico was 0.96 percent. That number was released in . It shows an increase from the inflation rate in the previous month when it stood at 0.95 percent. Compared to a year ago, we see a decrease from...

In 2024, the average inflation rate in Puerto Rico was estimated at approximately 1.59 percent. Between 1981 and 2024, the figure dropped by around 7.88 percentage points, though the decline followed an uneven course rather than a steady trajectory. The inflation is forecast to decline by about 0.06 percentage points from 2024 to 2030, fluctuating as it trends downward.This indicator measures inflation based upon the year-on-year change in the average consumer price index, expressed in percent. The latter expresses a country's average level of prices based on a typical basket of consumer goods and services.

Cost of food in Puerto Rico increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides - Puerto Rico Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Puerto Rico: Inflation forecast: The latest value from 2030 is 1.53 percent, unchanged from 1.53 percent in 2029. In comparison, the world average is 3.65 percent, based on data from 182 countries. Historically, the average for Puerto Rico from 1981 to 2030 is 2 percent. The minimum value, -1.96 percent, was reached in 2001 while the maximum of 7.42 percent was recorded in 1981.

The Consumer Price Index in Puerto Rico increased 0.20 percent in March of 2025 over the previous month. This dataset provides - Puerto Rico Inflation Rate MoM- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation, monthly percent change in the CPI in Puerto Rico, April, 2025 The most recent value is 0.2 percent as of April 2025, a decline compared to the previous value of 0.24 percent. Historically, the average for Puerto Rico from August 2007 to April 2025 is 0.14 percent. The minimum of -2.2 percent was recorded in June 2023, while the maximum of 2.71 percent was reached in July 2023. | TheGlobalEconomy.com

Puerto Rico inflation rate for was 0.00%, a 0% increase from .

<ul style='margin-top:20px;'>

<li>Puerto Rico inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Puerto Rico inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Puerto Rico inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>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.

Inflation, GDP deflator: linked series (annual %) in Puerto Rico was reported at 3.2355 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Puerto Rico - Inflation, GDP deflator: linked series (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Inflation rate of Puerto Rico sank by 53.41% from 6.0 % in 2022 to 2.8 % in 2023. Since the 21.17% slump in 2013, inflation rate rocketed by 164.28% in 2023. 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. Data for inflation are averages for the year, not end-of-period data.

Consumer Price Index CPI in Puerto Rico increased to 137.43 points in March from 137.10 points in February of 2025. This dataset provides - Puerto Rico Consumer Price Index Cpi- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The latest inflation rate, i.e. the percent change in the CPI from a year ago to now, in Porto Rico was 1.42 pour cent. That number was released in . It shows a decrease from the inflation rate in the previous month when it stood at 1.79 pour cent. Compared to a year ago, we see a decrease from...

Puerto Rico: Inflation forecast: Für diesen Indikator stellen wir Daten für Puerto Rico von 1981 bis 2030 bereit. Der durchschnittliche Wert für Puerto Rico in diesem Zeitraum lag bei 2 Prozent mit einem Minimum von -1.96 Prozent im Jahre 2001 und einem Maximum von 7.42 Prozent im Jahre 1981. Der neuste Wert aus dem Jahr 2030 liegt bei 1.53 Prozent. Zum Vergleich: Der Weltdurchschnitt im Jahr 2030, basierend auf 182 Ländern, liegt bei 3.65 Prozent.

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.

Inflation, monthly percent change in the CPI in Porto Rico, avril, 2025 Pour cet indicateur, Department of Labor and Human Resources of Puerto Rico fournit des données pour la Porto Rico de août 2007 à avril 2025. La valeur moyenne pour Porto Rico pendant cette période était de 0.14 pour cent avec un minimum de -2.2 pour cent en juin 2023 et un maximum de 2.71 pour cent en juillet 2023. | TheGlobalEconomy.com

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Puerto Rico: Real interest rate: Bank lending rate minus inflation: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for Puerto Rico from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..This table provides geographical mobility for persons relative to their residence at the time they were surveyed. The characteristics crossed by geographical mobility reflect the current survey year..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Porto Rico: Inflation: percent change in the Consumer Price Index: Pour cet indicateur, La Banque mondiale fournit des données pour la Porto Rico de à . La valeur moyenne pour Porto Rico pendant cette période était de pour cent avec un minimum de pour cent en et un maximum de pour cent en .