Core consumer prices in Morocco increased 1.10 percent in June of 2025 over the same month in the previous year. This dataset provides - Morocco Core Inflation Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Morocco Core CPI Change

• Morocco Core CPI Change was reported at 1.115 % in Dec 2018.
• This records a decrease from the previous number of 1.303 % for Dec 2017.
• Morocco Core CPI Change data is updated yearly, averaging 1.308 % from Dec 2004 to 2018, with 15 observations.
• The data reached an all-time high of 4.438 % in 2008 and a record low of 0.375 % in 2010.
• Morocco Core CPI Change data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Core CPI: Y-o-Y Growth: Annual.

CEIC calculates annual Core Consumer Price Index Growth from annual Core Consumer Price Index. Bank Al-Maghrib provides Core Consumer Price Index with base 2006=100. Core Consumer Price Index Growth prior to 2008 is calculated from Core Consumer Price Index with base 1989=100.

Graph and download economic data for Core Consumer Price Inflation for Morocco (MARPCPICOREPCHPT) from 2000 to 2025 about Morocco, consumer prices, core, REO, consumer, inflation, and rate.

Morocco Core Inflation Rate data was reported at 1.400 % in Mar 2025. This records a decrease from the previous number of 2.200 % for Feb 2025. Morocco Core Inflation Rate data is updated monthly, averaging 1.600 % from Jan 2018 (Median) to Mar 2025, with 87 observations. The data reached an all-time high of 8.500 % in Feb 2023 and a record low of 0.100 % in Oct 2019. Morocco Core Inflation Rate data remains active status in CEIC and is reported by Bank Al-Maghrib. The data is categorized under Global Database’s Morocco – Table MA.I008: Core Inflation Index.

Morocco Core Inflation Index: 2006=100 data was reported at 117.900 2006=100 in 2018. This records an increase from the previous number of 116.600 2006=100 for 2017. Morocco Core Inflation Index: 2006=100 data is updated yearly, averaging 110.600 2006=100 from Dec 2007 (Median) to 2018, with 12 observations. The data reached an all-time high of 117.900 2006=100 in 2018 and a record low of 101.400 2006=100 in 2007. Morocco Core Inflation Index: 2006=100 data remains active status in CEIC and is reported by Bank Al-Maghrib. The data is categorized under Global Database’s Morocco – Table MA.I008: Core Inflation Index. The Core Inflation Index gives a better picture of the core trend in prices because it excludes products whose prices are either controlled or highly volatile such as meat, fresh fish, fresh fruit & vegetables, sugar, tobacco and private transport.

This dataset was archived on 2018-01-12 from the EPD database (http://www.europeanpollendatabase.net).

Morocco Core Inflation Index: 1989=100 data was reported at 180.200 1989=100 in 2008. This records an increase from the previous number of 173.400 1989=100 for 2007. Morocco Core Inflation Index: 1989=100 data is updated yearly, averaging 167.900 1989=100 from Dec 2003 (Median) to 2008, with 6 observations. The data reached an all-time high of 180.200 1989=100 in 2008 and a record low of 160.600 1989=100 in 2003. Morocco Core Inflation Index: 1989=100 data remains active status in CEIC and is reported by Bank Al-Maghrib. The data is categorized under Global Database’s Morocco – Table MA.I005: Core Inflation Index. Rebased from 1989=100 to 2006=100 Replacement series ID: 245596303 The Core Inflation Index gives a better picture of the core trend in prices because it excludes products whose prices are either controlled or highly volatile such as meat, fresh fish, fresh fruit & vegetables, sugar, tobacco and private transport.

No description is available. Visit https://dataone.org/datasets/5bc15a1fa94fdc7c688336fb3854fc29 for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/70dfe724398db0f89ffea3205b1b01eb for complete metadata about this dataset.

DOI retrieved: 2002

This dataset was archived on 2018-01-12 from the EPD database (http://www.europeanpollendatabase.net).

No description is available. Visit https://dataone.org/datasets/85ac0e81a7cc2a55fc6de2aa5229c044 for complete metadata about this dataset.

This dataset was archived on 2018-01-16 from the EPD database (http://www.europeanpollendatabase.net).

This dataset is about: Geochemical analysis of core SN4 in Tarfaya Basin, southern Morocco. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.889137 for more information.

This dataset is about: Natural Gamma Ray of core SN4 in Tarfaya Basin, southern Morocco. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.889137 for more information.

Abstract

The survey was conducted in Morocco between May 2019 and January 2020. The survey was part of a joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

Geographic coverage

National coverage

Analysis unit

Unit of analysis is establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

Morocco ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for 2019 Morocco ES was selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: three manufacturing industries (food, garments and other manufacturing) and two services industries (retail and other services). Food (ISIC Rev. 3.1 codes 15), Garments (ISIC code 18) Other Manufacturing (ISIC codes 16, 17, 19-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

For the Morocco ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across eight regions: Tanger-Tétouan-Al Hoceima, Oriental, Fès-Meknès, Béni Mellal-Khénifra and Drâa-Tafilalet, Rabat-Salé-Kénitra, Casablanca-Settat, Marrakech-Safi and Souss-Massa.

Note: Refer to Sampling Structure section in "The Morocco 2019 Enterprise Surveys Data Set" document for further details on sampling.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0 (module).

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond (-8) as a different option from don’t know (-9).

b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response. The following graph shows non-response rates for the sales variable, d2, by sector. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.

The number of interviews per contacted establishments was 42.0%.

This dataset is about: Elemental raw data, analysed with XRF core scanner on core SN4 in Tarfaya Basin, southern Morocco. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.889137 for more information.

This dataset is about: Absolute number of siliceous skeletons in sediment core M8_058-2, Ibero-Moroccan shelf (Table 4). Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.548410 for more information.

Statistics illustrates consumption, production, prices, and trade of Prepared Binders for Foundry Moulds or Cores in Morocco from 2007 to 2024.

No description is available. Visit https://dataone.org/datasets/c9d4495f1ba91c7e49131e1d3f4dea78 for complete metadata about this dataset.