Core consumer prices in Guatemala increased 3.86 percent in June of 2025 over the same month in the previous year. This dataset provides - Guatemala Core Inflation Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Guatemala Core Consumer Price Index (CPI): Seasonally Adjusted data was reported at 167.290 2010=100 in Mar 2025. This records an increase from the previous number of 166.954 2010=100 for Feb 2025. Guatemala Core Consumer Price Index (CPI): Seasonally Adjusted data is updated monthly, averaging 112.825 2010=100 from Jan 2001 (Median) to Mar 2025, with 291 observations. The data reached an all-time high of 167.290 2010=100 in Mar 2025 and a record low of 62.147 2010=100 in Jan 2001. Guatemala Core Consumer Price Index (CPI): Seasonally Adjusted data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.GEM: Consumer Price Index.

Core Consumer Prices in Guatemala increased to 104.91 points in June from 104.69 points in May of 2025. This dataset provides - Guatemala Core Consumer Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Guatemala Core Consumer Price Index (CPI): Non Seasonally Adjusted data was reported at 166.635 2010=100 in Mar 2025. This records a decrease from the previous number of 166.683 2010=100 for Feb 2025. Guatemala Core Consumer Price Index (CPI): Non Seasonally Adjusted data is updated monthly, averaging 112.635 2010=100 from Jan 2001 (Median) to Mar 2025, with 291 observations. The data reached an all-time high of 166.683 2010=100 in Feb 2025 and a record low of 62.205 2010=100 in Jan 2001. Guatemala Core Consumer Price Index (CPI): Non Seasonally Adjusted data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.GEM: Consumer Price Index.

This dataset is about: Palaeoflood-layers in sediment core C, lake Tuspan, Central Maya Lowlands, Guatemala. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.892800 for more information.

Abstract

This research was conducted in Guatemala in 2006 as part of the Latin America and the Caribbean Enterprise Survey 2006 initiative. 522 businesses were surveyed.

The objective of the study 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 study was conducted using stratified random sampling. Three levels of stratification were used in the sample: firm sector, firm size, and geographic region.

Industry stratification was designed in the following way: the population was stratified into 3 manufacturing industries, one services industry - retail, and one residual sector.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposed, the number of employees was defined on the basis of reported permanent full-time workers.

Regional stratification was defined the following way: C.Guatemala and resto del pais (the rest of the country).

Additional information about sampling design can be found in "Sampling Methodology" and "Latin America and the Caribbean Enterprise Survey 2006 Implementation Report" in "Technical documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Screener Questionnaire

The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

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.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Information about response rates, survey and item non-response can be found in "Latin America and the Caribbean Enterprise Survey 2006 Implementation Report" in "Technical documents" folder.

All reporting countries - Cross-border total claims of banks with headquaters in All countries (total) vis-a-vis residents of Guatemala, all sectors (amounts outstanding / stocks, loans and deposits in all currencies (=d+f+u), All currencies excl. core )

This dataset is about: Amorphous silica and charred plant fragments analysed on sediment core C, Lake Tuspan, Central Maya Lowlands, Guatemala. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.892800 for more information.

Abstract

The size of the outflows from Venezuela sharply increased from some 700,000 in 2015 to over 4 million by June 2019, largely driven by a substantial deterioration of the situation in the country. Given the disruption of the functioning of some democratic institutions and rule of law, and its impact on the preservation of security, economic stability, health, public peace and the general welfare system, the crisis continues to worsen and serious human rights violations are widely reported. The displacement outside Venezuela has mostly affected countries in Latin America and the Caribbean, particularly Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and the southern Caribbean islands. Most governments in the region have made efforts to facilitate access to territory, documentation and access to services, but the capacity of host countries has become overstretched to address the increasing protection and integration needs, resulting in tighter border controls being put in place. Protection monitoring is a core UNHCR activity which aims at ensuring an adequate and timely understanding of the protection situation of persons affected by forced displacement. The action-oriented nature of protection monitoring allows UNHCR to adapt to the needs and protection risks faced by persons displaced outside Venezuela and informs a broad range of responses.

Analysis unit

Household and individual

Sampling procedure

Simple sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire contained the following sections: household, members, incidents, route points.

Abstract

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Geographic coverage

Whole country

Analysis unit

Household

Universe

All people of concern.

Kind of data

Sample survey data [ssd]

Sampling procedure

In the absence of a well-developed sampling-frame for forcibly displaced populations in the Americas, the High Frequency Survey employed a multi-frame sampling strategy where respondents entered the sample through one of three channels: (i) those who opt-in to complete an online self-administered version of the questionnaire which was widely circulated through refugee social media; (ii) persons identified through UNHCR and partner databases who were remotely-interviewed by phone; and (iii) random selection from the cases approaching UNHCR for registration or assistance. The total sample size was 4121 households. At the time of the survey, the population of concern was estimated at around 110000 individuals.

Mode of data collection

Other [oth]

Research instrument

Questionaire contained the following sections: journey, family composition, vulnerability, basic Needs, coping capacity,well-being,COVID-19 Impact.

Abstract

The survey was conducted in Guatemala between October 2017 and May 2018, as part of Enterprise Surveys project, an initiative of the World Bank. Data from 345 establishments was analyzed.

The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. Through 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 and 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 percent 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 coverage

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 universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this 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 2017 Guatemala ES was selected using stratified random sampling, following the methodology explained in the Sampling Note. Stratified random sampling was preferred over simple random sampling for several reasons:

a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision.

b. To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this 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.

c. To make sure that the final total sample includes establishments from all different sectors and that it is not concentrated in one or two of industries/sizes/regions.

d. To exploit the benefits of stratified sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e., lower standard errors, other things being equal.)

e. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous.

f. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.

Three levels of stratification were used in this country: industry, establishment size, and region. The original sample design with specific information of the industries and regions chosen Industry stratification was designed in the way that follows: the universe was stratified as into manufacturing, retail and other services industries- Manufacturing (ISIC Rev. 3.1 codes 15 - 37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

For the Guatemala 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 for the Guatemala ES was done across two regions: Greater Guatemala City, and Rest of the country.

Mode of data collection

Face-to-face [f2f]

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.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names preceded by the prefix "LAC" indicate questions specific to Guatemala and other countries in Latin America 2016, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

There are 2 establishment identifiers, idstd and id. The first is a global unique identifier. The second is a country unique identifier. The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. The strata were defined according to the guidelines described above.

There are three levels of stratification: industry, size and region. Different combinations of these variables generate the strata cells for each industry/region/size combination. A distinction should be made between the variable a4a and d1a2 (industry expressed as ISIC rev. 3.1 code). The former gives the establishment's classification into one of the chosen industry-strata based on the sample frame, whereas the latter gives the establishment's actual industry classification (four digit code) based on the main activity at the time of the survey. All of the following variables contain information from the sampling frame. They may not coincide with the reality of individual establishments as sample frames may contain inaccurate or outdated information. The variables containing the sample frame information are included in the data set for researchers who may want to further investigate statistical features of the survey and the effect of the survey design on their results.

-a2 is the variable describing sampling regions -a6a: coded using the same standard for small, medium, and large establishments as defined above. -a4a: coded following the stratification by sector as defined above.

The surveys were implemented following a 2 stage procedure. Typically first a screener questionnaire is applied over the phone to determine eligibility and to make appointments. Then a face-to-face interview takes place with the Manager/Owner/Director of each establishment. However, sometimes the phone numbers were unavailable in the sample frame, and thus the enumerators applied the screeners in person. The variables a4b and a6b contain the industry and size of the establishment from the screener questionnaire.

Note that there are variables for size (l1, l6 and l8) that reflect more accurately the reality of each establishment. Advanced users are advised to use these variables for analytical purposes. Variables l1 (number of permanent full-time workers at the end of the last complete fiscal year), l6 (number of full-time seasonal workers employed during last complete fiscal year) and l8 (average length of employment of full-time temporary employees during last complete fiscal year) were designed to obtain a more accurate measure of employment accounting for permanent and temporary employment. Special efforts were made to make sure that this information was not missing for most establishments. The last complete fiscal year is January to December 2016. For questions pertaining to monetary amounts, the unit is the Guatemalan Quetzal.

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

Abstract

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest’s demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Geographic coverage

Whole country.

Analysis unit

Household

Universe

All people of concern.

Sampling procedure

In the absence of a well-developed sampling-frame for forcibly displaced populations in the Americas, the High Frequency Survey employed a multi-frame sampling strategy where respondents entered the sample through one of three channels: (i) those who opt-in to complete an online self-administered version of the questionnaire which was widely circulated through refugee social media; (ii) persons identified through UNHCR and partner databases who were remotely-interviewed by phone; and (iii) random selection from the cases approaching UNHCR for registration or assistance. The total sample size was 488 refugee households.

Mode of data collection

Other [oth]

Research instrument

Questionaire contained the following sections: journey, family composition, vulnerability, basic Needs, coping capacity,well-being,COVID-19 Impact.

No Publication Abstract is Available

Ostracodes and pollen preserved in a 75.9-m-long sediment core (PI-6) recovered from Lake Petén Itzá, Guatemala were used to assess the magnitude and velocity of aquatic and terrestrial community responses during the last 85,000 years. The following pollen data are provided: Taxa diversity (pollen sum).

Ostracodes and pollen preserved in a 75.9-m-long sediment core (PI-6) recovered from Lake Petén Itzá, Guatemala were used to assess the magnitude and velocity of aquatic and terrestrial community responses during the last 85,000 years. Adult ostracode data includes information on species abundances and richness, diversity index.

Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data was reported at 2.457 NA in 2016. This records a decrease from the previous number of 2.683 NA for 2014. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data is updated yearly, averaging 2.683 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.800 NA in 2012 and a record low of 2.430 NA in 2007. Guatemala GT: 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 Guatemala – Table GT.World Bank.WDI: 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;

Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data was reported at 2.412 NA in 2016. This records a decrease from the previous number of 2.869 NA for 2014. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data is updated yearly, averaging 2.620 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.869 NA in 2014 and a record low of 2.160 NA in 2010. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: 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 assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). 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;

The size of the outflows from Venezuela sharply increased from some 700,000 in 2015 to over 4 million by June 2019, largely driven by a substantial deterioration of the situation in the country. Given the disruption of the functioning of some democratic institutions and rule of law, and its impact on the preservation of security, economic stability, health, public peace and the general welfare system, the crisis continues to worsen and serious human rights violations are widely reported. The displacement outside Venezuela has mostly affected countries in Latin America and the Caribbean, particularly Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and the southern Caribbean islands. Most governments in the region have made efforts to facilitate access to territory, documentation and access to services, but the capacity of host countries has become overstretched to address the increasing protection and integration needs, resulting in tighter border controls being put in place. Protection monitoring is a core UNHCR activity which aims at ensuring an adequate and timely understanding of the protection situation of persons affected by forced displacement. The action-oriented nature of protection monitoring allows UNHCR to adapt to the needs and protection risks faced by persons displaced outside Venezuela and informs a broad range of responses.

Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data was reported at 2.472 NA in 2016. This records a decrease from the previous number of 2.750 NA for 2014. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data is updated yearly, averaging 2.472 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.750 NA in 2014 and a record low of 2.270 NA in 2007. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: 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 efficiency of customs clearance processes (i.e. speed, simplicity and predictability of formalities), 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;

Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data was reported at 2.297 NA in 2016. This records a decrease from the previous number of 2.683 NA for 2014. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data is updated yearly, averaging 2.683 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.780 NA in 2012 and a record low of 2.297 NA in 2016. Guatemala GT: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.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 overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), 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;