The statistic shows the distribution of employment in Honduras by economic sector from 2013 to 2023. In 2023, 22.56 percent of the employees in Honduras were active in the agricultural sector, 21.39 percent in industry and 56.05 percent in the service sector.

Techsalerator's Job Openings Data for Honduras: A Comprehensive Resource for Employment Insights

Techsalerator's Job Openings Data for Honduras is an essential tool for businesses, job seekers, and labor market analysts. This dataset provides a thorough overview of job openings across various sectors in Honduras, aggregating and categorizing job-related information from multiple sources, including company websites, job boards, and recruitment agencies.

Key Data Fields

• Job Posting Date: Captures when a job is listed. This is crucial for job seekers and HR professionals to stay updated on the latest opportunities and trends.
• Job Title: Specifies the position being advertised, which helps in categorizing and filtering job openings based on industry roles and career interests.
• Company Name: Lists the hiring company, aiding job seekers in targeting their applications and helping businesses track competitors and market trends.
• Job Location: Provides the job's geographic location within Honduras. Job seekers use this to find regional opportunities, while employers analyze regional talent and market conditions.
• Job Description: Includes details about responsibilities, required qualifications, and other relevant aspects. This is vital for candidates to determine if they meet the requirements and for recruiters to communicate expectations clearly.

Top 5 Job Categories in Honduras

• Information Technology (IT): Rising demand for software developers, IT support specialists, and cybersecurity experts as the digital economy grows.
• Healthcare: Opportunities for doctors, nurses, medical technicians, and public health workers, driven by both public and private sector needs.
• Education: Positions for teachers, administrators, and educational consultants, reflecting the country's focus on improving literacy and education standards.
• Construction and Engineering: High demand for civil, mechanical, and electrical engineers, as well as skilled laborers, due to ongoing infrastructure projects.
• Manufacturing and Production: Roles in factory management, quality control, and production line work, as Honduras continues to develop its manufacturing sector.

Top 5 Employers in Honduras

• Grupo Jaremar: A leading manufacturer of personal care products, frequently hiring for roles in production, quality control, and logistics.
• Cervecería Hondureña: The country's major beverage company, with openings in production, marketing, and distribution.
• Banco Atlántida: A prominent bank offering opportunities in finance, banking operations, and customer service.
• Honduras Telecom: A major telecommunications provider with roles in IT, customer service, and network operations.
• Universidad Nacional Autónoma de Honduras (UNAH): The largest university in the country, regularly hiring for academic, administrative, and research roles.

Accessing Techsalerator’s Data

To access Techsalerator’s Job Openings Data for Honduras, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Job Posting Date
• Job Title
• Company Name
• Job Location
• Job Description
• Application Deadline
• Job Type (Full-time, Part-time, Contract)
• Salary Range
• Required Qualifications
• Contact Information

Techsalerator’s dataset is a valuable tool for those looking to stay informed about job openings and employment trends in Honduras, helping businesses, job seekers, and analysts make informed decisions.

The share of employees in Honduras's workforce was among the lowest of Latin America and the Caribbean in 2019. In that year, approximately **** percent of the employed population of Honduras held “paid employment jobs”, or jobs where they held employment contracts with right to basic remuneration. The share of employees and own-account workers in Honduras is expected to rise within the upcoming years.

This bar chart displays vulnerable employment (% of total employment) by demonym using the aggregation average in Honduras. The data is filtered where the date is 2023. The data is about countries per year.

This bar chart displays vulnerable employment (% of total employment) by ISO 3 country code using the aggregation average in Honduras. The data is about countries per year.

Honduras HN: Child Employment in Manufacturing: Male: % of Male Economically Active Children Aged 7-14 data was reported at 5.620 % in 2014. This records an increase from the previous number of 5.580 % for 2013. Honduras HN: Child Employment in Manufacturing: Male: % of Male Economically Active Children Aged 7-14 data is updated yearly, averaging 5.580 % from Dec 2004 (Median) to 2014, with 5 observations. The data reached an all-time high of 6.720 % in 2007 and a record low of 3.150 % in 2011. Honduras HN: Child Employment in Manufacturing: Male: % of Male Economically Active Children Aged 7-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Honduras – Table HN.World Bank.WDI: Employment and Unemployment. Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

This statistic shows the distribution of employees in the cruise industry in Honduras in 2018, by sector. That year, around ** percent of the employees of the cruise industry in the country worked in commercial services.

This bar chart displays self-employed workers (% of total employment) by countries yearly using the aggregation average in Honduras. The data is about countries per year.

Generally, construction employees made up a higher share of total employment in urban areas of Latin America than in the countryside. Over **** percent of the urban workforce in Panama and Honduras was employed in the construction sector, while that percentage was over *** percent for the rural population in El Salvador. During the past years, the value of the construction sector in Latin America has fluctuated significantly.

This bar chart displays unemployment (% of total labor force) by country using the aggregation average in Honduras. The data is filtered where the date is 2023. The data is about countries per year.

Poverty in Honduras has hardly changed since 1998. A successful poverty reduction strategy must be an integrated process that includes components of broad-based economic and institutional development. This report provides an analytical basis for supporting the Poverty Reduction Strategy (PRS) and the country's policy decisions. Specific areas of analysis are contained in four chapters and include: 1) the country poverty profile; 2) labor markets; 3) gender and child labor; and 4) the distribution and incidence of public spending. The executive summary highlights key poverty reduction challenges and provides an outline of policy options and recommendations Honduras may wish to pursue as part of its overall development strategy during the next four years of the new government's administration. Volume 2 is comprised of background papers on the topics of: poverty analysis; the labor market; public spending; and cash transfers.

Abstract

The evaluation of the Transport Project and Farm to Market Roads Activity aimed to answer whether or not improved conditions throughout the road network: • Lowered transport costs and travel time for businesses, including farm households; • Provided better access to a wider range of job opportunities for individuals (labor market effects); • Lowered the price of consumables and inputs by increasing competition and reducing barriers to entry posed by poor transport infrastructure; and • Improved access to health establishments and schools

The overall expected result of these changes was an increase in overall incomes and employment at the household level. To comprehensively evaluate the impact of the MCA Honduras Transportation project, the Independent Evaluator used two methods: (i) a model-based approach, in which the treatment effect is represented by change in travel time, and the program impact is represented as a function of change in travel time. The model relies heavily on Geographic Information Systems (GIS) data for several purposes, including the estimation of changes in travel time; and (ii) HDM-IV analysis.

Analysis unit

Household; Road

Universe

The target population for the household survey was the population of all households in Honduras at the beginning and end of the project. We used a sample frame constructed for the most recent National Census. Because that Census was conducted a number of years ago (2001), the survey field procedures included procedures to ensure that all current households are subject to sampling (e.g., use of systematic sampling over all of the current households of the entire census segment).

Kind of data

Other

Sampling procedure

Please see Annex 3 of Final Evaluation Report for details. NORC used a panel survey with a stratified two-stage sample design in which the first-stage sample units are caserios. Caserios were selected for use as the first-stage sample unit not only because they (like Census segments) are an efficient size for sampling, but also because a substantial amount of GIS data is available for them.

The sample frame was a list of 22,816 caserios stored in the GIS (and the same as those available from the Census). Caserios in the Islas de la Bahia and Gracias a Dios departments, and caserios in protected status, were excluded as out of scope, reducing the sample frame size to 20,467. These are the primary sampling units (PSUs) for the study.

The caserio sample size and the number of households to be selected from each sample caserio were determined by a detailed statistical power analysis. Based on this analysis, NORC decided to select a sample of 20 households from each of 100 sample caserios. That is, the sample design called for a sample of 2,000 households located in 100 caserios, in each of two survey rounds (before and after the program intervention). The same households were to be interviewed in both survey rounds. Because some caserios did not contain 20 households, baseline data were collected on a total of 1,600 households.

Sampling deviation

There were no deviations from the sample design.

Research instrument

Household survey; Origin and Destination survey; Traffic Volume; Traffic Speed

Cleaning operations

During the field stage, field editors and INE technical supervisors checked for data inconsistencies in the field and during data entry. The questionnaire included some coding for geographic reference, and once ballots were filled out, field editors checked coding was appropriately done by interviewers and also coded economic activities. Corrections were done manually by visual control of the questionnaire and no software was used.

Response rate

Of the targeted households, 1,408 households, or about 88 percent, yielded completed interviews in the second round of data collection.

Sampling error estimates

Standard errors are calculated for all estimates. They are presented in the Final Report for all estimates. The standard errors were estimated using Stata procedures. They are also presented in the Stata .log file that accompanied the project documentation.

This bar chart displays rural population (people) by currency using the aggregation sum in Honduras. The data is about countries per year.

Abstract

The objectives of the survey included the following: 1. Estimate current levels of fertility. 2. Estimate levels of neonatal, infant and child mortality. 3. Determine the prevalence, pattern and mean duration of breastfeeding. 4. Determine the prevalence and severity of diarrhea and acute respiratory infections among children under age five, the percentage that received treatment, and the type of treatment received. 5. Determine the percentage of children under five that have been immunized against various childhood diseases. 6. Determine the sources of prenatal, delivery and postpartum care and for women delivering at home, the care provided by traditional birth attendants. 7. Determine contraceptive prevalence by method and by source. 8. Identify reasons for terminating the use of family planning and for not using contraception: determine the extent of unmet need for contraception. 9. Determine the percentage of women who have experienced unplanned pregnancies, the pregnancy intentions of all women, ideal family size and the percentage of women who want more children. 10. Determine what advice is given and the impact of this advice on the decision to discontinue pill use among women with problems related to oral contraception. 11. Explore characteristics of adolescents and young women 20-24 as they relate to first intercourse and patterns of family building. 12. Determine levels of knowledge concerning STDs and AIDS.

Geographic coverage

National, except two departments which were excluded from the sample, Gracias a Dios and the Bay Islands, due to difficult access and their small and scattered population. Together they make up only 1.5 percent of the total population of Honduras.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 1987 National Epidemiology and Family Health Survey (EFHS) employed a multistage probability sample of over 11,000 households. Two departments were excluded from the sample, Gracias a Dios and the Bay Islands, due to difficult access and their small and scattered population. Together they make up only 1.5 percent of the total population of Honduras.

To carry out such a survey, adequate maps must be available to construct small area units to serve as sampling units in the later stages of selection. However, for the 1987 survey, current maps were not readily available for all parts of the country. At the time of sample preparation, the Honduran Bureau of Census and Statistics was updating maps for the 1988 Census and had updated maps of municipios (counties) representing a little less than half of the country's population. Included in the updated maps were those of 16 major cities. These cities had been selected for their importance in terms of employment by the Bureau of Census and Statistics which in September of 1986 carried out the Encuesta de Hogares (Labor Force Survey) to determine employment patterns of the labor force. Thus for the 1987 survey, two groups of recently updated maps were available: urban maps of 16 cities divided into colonias (neighborhoods) which were divided into sectors for the Encuesta de Hogares, and census maps of rural municipios divided into aldeas (villages) which Ministry of Health and Management Sciences for Health staff subsequently divided into sectors.

In the remainder of the country where Census personnel had not updated maps, the 1974 Census sector maps were used for the first stage of selection. Once these area units were selected, teams composed of survey staff and cartographers from the Vector Control Division of the Ministry of Public Health visited the sites and updated the maps.

The partial availability of current maps led to the designation of the following four cells (see Table II B1 of the Final Report) which served as the first level of stratification in the primary sample.

This four cell partitioning of the primary sample is not equivalent to stratification using the official definition of urbanization since Cells 2, 3 and 4 in Table II B1 contained both urban and rural areas. However, it is important to note that this feature of the design did not compromise our ability to produce estimates by official urban or rural designations.

Once the interview was completed and questionnaires were coded for data processing, all sectors were classified according to strata: 1) urban Tegucigalpa and urban San Pedro Sula, 2) other urban areas, and 3) rural areas. This classification of strata maintains the final strata designation used in the 1984 MCH/FP Survey. Urban was defined according to criteria used by the Bureau of Census and Statistics: population greater than 2000 inhabitants with public utilities, water and sewage. Since population estimates are based on 1974 census information, rural areas with less than but close to 2000 inhabitants were assumed to have grown and were reclassified as urban.

The 1986 population of Honduras based on estimates from the Latin American Center for Demography (CELADE) and the Secretary for Planning and Finances (SECPLAN) was about 4.2 million inhabitants. With about 5.5 persons per household, this corresponds to 763,636 households. Thus the overall sampling rate in selecting 11,660 households was 0.0153, or about one out of every 65 households. Our aim was to select a sample in which the sample and Census distributions by cell were approximately equal.

In January of 1987 the Ministry of Public Health implemented the National Nutrition Survey which used the sampling frame originally designed for the 1987 Epidemiology and Family Health Survey. Cell 1 of the Nutrition Survey was a subsample of the Encuesta de Hogares.

We selected 550 primary sampling units (PSUs) for the EFHS, 275 of which had been chosen earlier for the Nutrition Survey. However, new segments or secondary sampling units (SSUs) were selected for the EFHS in the previously used PSUs. An additional 275 PSUs were chosen independently from the four original stratified listings which correspond to the 4 design cells. To facilitate selection of the additional PSUs, we doubled the number of PSUs in each cell. To achieve the desired sample size for the EFHS, we increased the segment size used in the Nutrition Survey by 50 percent. The targeted number of households per segment varied.

Selection Protocol for each Cell

Cell 1

In preparation for the Encuesta de Hogares, cartography staff made a rapid enumeration of blocks and households in the 16 selected cities. Blocks were grouped in units that averaged 50 households. However, the units ranged from 25 to 125 households. These units were called PSUs and were listed and sorted hierarchically by health region, city, socioeconomic status, and population size or geographic proximity. Since probability proportional to size (PPS) systematic sampling was used ultimately to choose the PSU sample for each design cell, ordering according to the above variables implicitly stratified the sample. In the Encuesta de Hogares, the measure of size for PPS selection was the number of HHs. PSUs were selected with PPS. For the EFHS and Nutrition Surveys, a subsample of the Encuesta de Hogares sample was chosen. PSUs for these surveys were selected at random using equal probability.

Once the appropriate number of PSUs was selected, the SSUs or segments were delineated to contain approximately 15 households in Tegucigalpa and San Pedro Sula and about 8 households in the other 14 cities. Survey staff chose one segment at random and identified it on the map. In the field, the supervisor counted the number of households in the segment and when there were more than the predetermined cluster size, she chose at random a house with which to begin. Following a clockwise direction, interviewers visited households until the appropriate number was attained. An interview was attempted with all eligible respondents (women aged 15 to 44) in each household selected.

Cell 2

The updated (as of October 24, 1986) rural and urban maps not included in Cell 1, were used to define Cell 2. Municipios were divided into villages which were designated as the PSUs. PSU selection was done by PPS systematic sampling where the selection probability for each PSU was proportional to its size (total number of households) and an interval of fixed length was applied to the frame after a random start. The list of PSUs was ordered according to health region, department, municipio and geographical proximity which means a serpentine route was followed so that any two consecutive PSUs on the list were neighbors geographically. Once chosen, the PSU was divided into segments of about 33 households and one segment was chosen at random. All households in that chosen segment were contacted.

Cells 3 and 4

These cells used 1974 Census sector maps at the first stage of selection. The PSUs for urban areas were ordered according to health region, municipio, city and SES status when possible or geographic proximity. In rural areas, lists were sorted by health region, department, municipio and geographic proximity. PSUs were chosen separately in each cell by PPS systematic sampling and these "census sector maps" were updated for the EFHS and Nutrition Survey. The updated sectors averaged 70 households but ranged from 25 to 130 households. As in Cell 2, one segment of about 33 households was chosen at random for each PSU.

Summary of the sample for the 1987 Epidemiology and Family Health Survey

General description: Two stage area sample of households with stratification in the first stage and area segments of 8-33 households as the ultimate sampling unit. Expected number of selected households: 11,660 Overall household sampling rate: About 1 in 65 households Expected number of responding households: 9,736* Expected number of responding eligible women in selected households:

This bar chart displays birth rate (per 1,000 people) by countries yearly using the aggregation average, weighted by population in Honduras. The data is about countries per year.

This bar chart displays population (people) by currency using the aggregation sum in Honduras. The data is filtered where the date is 2023. The data is about countries per year.

Abstract

This research was conducted in Honduras in 2006 as part of the Latin America and the Caribbean Enterprise Survey 2006 initiative. 436 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. Each industry had a target of 120 interviews.

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: Tegucigalpa, San Pedro Sula 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.

Abstract

The Migration Cost Surveys (MCS) project is a joint initiative of the Global Knowledge Partnership on Migration and Development (KNOMAD) and the International Labor Organization (ILO). The project was initiated to support methodological work on developing a new Sustainable Development Goal (SDG) indicator (10.7.1) on worker-paid recruitment costs. The surveys of migrant workers conducted in multiple bilateral corridors between 2015 and 2017 provide new systematic evidence of financial and some non-financial costs incurred by workers to obtain jobs abroad. The compiled dataset is divided into two waves (2015 and 2016) based on the questionnaire version used in the surveys.

Geographic coverage

Multinational coverage: - Ethiopia - India - Nepal - Pakistan - Philippines - Vietnam - Guatemala - Honduras - El Salvador

Analysis unit

KNOMAD-ILO Migration Costs Surveys (KNOMAD-ILO MCS) have the following unit of analysis: individuals

Universe

Surveys of migrants from the following corridors are included:

• Ethiopia to Saudi Arabia • India to Qatar • Nepal to Qatar • Pakistan to Saudi Arabia and United Arab Emirates • Philippines to Qatar • Vietnam to Malaysia • Guatemala, Honduras and El-Salvador to Mexico

Kind of data

Sample survey data [ssd]

Sampling procedure

All surveys conducted for this project used either convenience or snowball sampling. Sample enrollment was restricted to migrants primarily employed in low-skilled positions, who departed to the destination country, typically no more than 5 years prior to the interview year. All but two surveys using the 2015 questionnaire were conducted in the country of origin by interviewing returning migrants.The exceptions were the surveys of Vietnamese migrants in Malaysia and migrants from Guatemala, Honduras and El-Salvador in Mexico, which were administered in the destination countries (Malaysia and Mexico, respectively). Their customized questionnaires are worded in present tense when it comes to various aspect of stay in the destination country. The content of the variables remains analogous to the surveys of returnees. Please refer to Annex Table 1 of the 2015 KNOMAD-ILO MCS User Guide for a summary description of the included samples in the 2015 KNOMAD-ILO MCS dataset.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2015 KNOMAD-ILO Migration Costs Surveys consists of 6 survey modules:

A. Respondent Information B. Information on costs for current job C. Borrowing money for the foreign job D. Job search efforts and opportunity costs E. Work in foreign country F. Job environment

Sampling error estimates

n/a

Data appraisal

n/a

This bar chart displays urban population (people) by date using the aggregation sum in Honduras. The data is filtered where the date is 2023. The data is about countries per year.

This bar chart displays male population (people) by country using the aggregation sum in Honduras. The data is filtered where the date is 2023. The data is about countries per year.