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.

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 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.

زادت أسعار المستهلك الأساسية في المغرب بنسبة 2.40 في المئة في ديسمبر 2024 مقارنة بنفس الشهر من العام السابق. القيم الحالية، والبيانات التاريخية، والتنبؤات والإحصاءات والرسوم البيانية والتقويم الاقتصادي - المغرب - معدل التضخم المالي الأساسي.

Marokkos Core-CPI-Änderung belief sich im 2018 auf 1.115 %. Dies stellt einen Rückgang im Vergleich zu den vorherigen Zahlen von 1.303 % für 2017 dar. Marokkos Core-CPI-Änderung werden jährlich aktualisiert, mit einem Durchschnitt von 1.308 % von 2004 bis 2018, mit 15 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 4.438 % im 2008 und ein Rekordtief in Höhe von 0.375 % im 2010. Marokkos Core-CPI-Änderung Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: Core CPI: Y-o-Y Growth: Annual kategorisiert.

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

Statistics illustrates market overview of aluminium; stranded wire, cables, plaited bands and the like, (not electrically insulated), with steel core in Morocco from 2007 to 2024.

DOI retrieved: 2002

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%.

No description is available. Visit https://dataone.org/datasets/94799016b4c28c10cc8b531ab49ab1a4 for complete metadata about this dataset.

Statistics illustrates market overview of prepared binders for foundry moulds or cores in Morocco from 2007 to 2024.

No description is available. Visit https://dataone.org/datasets/fa122632f773d03bc4868fe341f15d91 for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/9378f6f35dab9ad1ae397ef41e5d2495 for complete metadata about this dataset.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.

This dataset is about: Stable isotope analysis (organic material) of core SN4 in Tarfaya Basin, southern Morocco. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.912375 for more information.

Abstract

The Morocco Enterprise Survey was conducted between January and June 2007. Data from 659 establishments in private manufacturing and services sectors were analyzed.

The objective of Enterprise Surveys is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the 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

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for countries participating in Enterprise Surveys is stratified by industry, firm size, and geographic region.

For stratification by industry, the main manufacturing sectors in each country in terms of value added, number of firms, and contribution to employment are selected. The retail trade sector is also included in all countries as a representative of the services sector, and depending on the size of the economy, the information technology (IT) sector is included. The rest of the universe is included in a residual stratum.

Size stratification is defined the following way: small establishments (5 to 19 employees), medium establishments (20 to 99 employees), and large establishments (more than 99 employees).

Regional stratification includes the main economic regions in each country.

Through this methodology estimates for the different stratification levels can be calculated on a separate basis while at the same time inferences can be made for the economy as a whole, weighting individual observations by corresponding sample weights. Sample sizes for each stratification level are defined ensuring a minimum precision level of 7.5% with 95% confidence intervals for estimates with population proportions.

For more technical details on the sampling strategy, please review "Sampling Methodology" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module; - Core Questionnaire + Retail Module.

The survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. The questionnaire also assesses the survey respondents' opinions on what are the obstacles to firm growth and performance.

Abstract

The 2006 Morocco GSHS was a school-based survey of students in 1st, 2nd, and 3rd years.

The purpose of the GSHS is to provide data on health behaviors and protective factors among students to: - Help countries develop priorities, establish programs, and advocate for resources for school health and youth health programs and policies; - Allow international agencies, countries, and others to make comparisons across countries regarding the prevalence of health behaviors and protective factors; and - Establish trends in the prevalence of health behaviors and protective factors by country for use in evaluation of school health and youth health promotion.

Geographic coverage

National coverage

Analysis unit

Students aged 13-15 years

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2006 Morocco GSHS was a school-based survey of students in 1st, 2nd, and 3rd years. A two-stage cluster sample design was used to produce data representative of all students in 1st, 2nd, and 3rd years in Morocco. At the first stage, schools were selected with probability proportional to enrollment size. At the second stage, classes were randomly selected and all students in selected classes were eligible to participate. A total of 2,670 students participated in the Morocco GSHS.

Mode of data collection

Face-to-face [f2f]

Research instrument

The GSHS uses a standardized scientific sample selection process; common school-based methodology; and core questionnaire modules, core-expanded questions, and country-specific questions that are combined to form a self-administered questionnaire that can be administered during one regular class period.

The 10 core questionnaire modules address the leading causes of morbidity and mortality among children and adults worldwide. - Alcohol use - Dietary behaviors - Drug use - Hygiene - Mental health - Physical activity - Protective factors - Sexual behaviors that contribute to HIV infection, other sexually-transmitted infections, and unintended pregnancy - Tobacco use - Violence and unintentional injury

Cleaning operations

Students self-reported their responses to each question on a computer scannable answer sheet.

Response rate

The school response rate was 100%, the student response rate was 84%, and the overall response rate was 84%.

236 Active Global Core buyers list and Global Core importers directory compiled from actual Global import shipments of Core.

Morocco MA: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data was reported at 2.336 NA in 2016. This records a decrease from the previous number of 3.010 NA for 2012. Morocco MA: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data is updated yearly, averaging 2.336 NA from Dec 2007 (Median) to 2016, with 3 observations. The data reached an all-time high of 3.010 NA in 2012 and a record low of 2.000 NA in 2007. Morocco MA: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the ability to track and trace consignments when shipping to the market, on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

DOI retrieved: 1973