While the province of Panama — which includes Panama City — remains the most populated of the Republic of Panama, with approximately **** million inhabitants as of July 1st 2021, the recently created province of Panama Oeste comes in second place in terms of population. Furthermore, the overall population of the Central American country has been increasing lately.

This dataset is about countries per year in Panama. It has 64 rows. It features 4 columns: country, region, and population.

This horizontal bar chart displays individuals using the Internet (% of population) by region using the aggregation average, weighted by population in Panama. The data is about countries per year.

This dataset is about cities in Panama. It has 233 rows. It features 7 columns including country, population, latitude, and longitude.

During 2022, the province of West Panama reported the highest number of marriages in the country, with almost ***** cases. Following closely were the provinces of Chiriqui and Colon in terms of number of marriages.

Abstract

In October 2000, the Statistics and Census Office (Dirección de Estadística y Censo), together with the International Labour Office, carried out the Child Labour Survey, in order to provide information which would allow an evaluation of the impact of children’s labour market participation, in order to determine the characteristics and conditions under which this labour market participation occurs, its possible causes, and the existence or not of exploitative relationships. The Survey provides crucial information for preparing specific policies for the population between the ages of 5 and 17 years, as well as for monitoring and evaluation of programmes being carried out by different social agencies attempting to eradicate the worst forms of child labour.

The Child Labour Survey was carried out guided by the following objectives: - Ascertain demographic and socio-economic characteristics of the general population and especially the child population - Provide information that will allow studies of the magnitude, distribution, characteristics, consequences and causes of child labour - Ascertain characteristics of economic sectors where minors are working - Ascertain injuries sustained by the employed population - Ascertain safety mechanisms available to the employed population - Ascertain parents’ perceptions and those of children regarding child labour - Provide a database on child labour that permits formulation of policies and programmes based on reality - Provide information allowing cross-country comparisons

Geographic coverage

Nationwide

Universe

The study universe is the population 5 to 17 years of age residing in private occupied dwellings throughout the country. The interim results from the Population and Housing Census of May 2000 found a preliminary total population of 2,815,644 persons for the country; of these, 766,903 constitute the population from 5 to 17 years of age (see Table 3 in the report provided as external resources),which implies a percentage relationship of 27.2%. This population is divided 56.9% urban and 43.1% rural. Furthermore, the non-indigenous universe contains a 5 to 17 year old population of 693,704 persons and the indigenous one has 73,199, which represent 90.5% and 9.5% of the study population respectively. Private occupied dwellings numbered 667,284 units at the national level,with urban areas representing 64.3% and rural areas 35.7%. In non-indigenous areas, private occupied dwellings numbered 638,565 units, while indigenous areas had 28,719, for a percentage relationship of 95.7% and 4.3%, respectively. The average number of persons aged 5 to 17 years per private occupied dwelling in the country was 1.15 persons per dwelling, 1.02 in urban areas and 1.39 in rural areas, while for the non-indigenous universe this was 1.09 and for the indigenous 2.54.

Sampling procedure

Sampling Frame: With preliminary data from the Population and Housing Census as a reference, as well as the full census organisation and maps from May 2000, the sampling frame was made up of the enumeration area units where population aged 5 to 17 years was recorded.

Sampling units: The sampling units constitute the sample selection unit. In this case, the Primary Sampling Unit is the census segment.

Study domains: The study domains were identified,with a view to type of study and user requirements regarding utility and utilization of information. The country's main province, Panama, was subdivided into the following study domains: Panama and San Miguelito districts and rest of Panama province. The indigenous study domain is integrated at the national level by each one of the legally established comarcas and the indigenous communities outside the comarcas that carry out their activities according to their socio-cultural behaviour patterns.

Stratification: Study universe stratification is based on geographic criteria in accordance with the country's political-administrative coding and takes into consideration the division between urban and rural areas. Stratification by socio-economic variables was not possible, since the census information was not yet ready, as complete processing was expected for March 2001. It is important to note that in Panama implicit stratification has been used in several studies such as, for example, the Quality of Life Survey, the Income and Expense Survey, the Labour Force Survey, etc., obtaining adequate results with regard to the existing socio-economic structure, supported primarily by the particularities occurring in geographic distribution of the country's population.

Sample size: Sample size computation was carried out using the mathematical model for simple random sampling.The critical variable for obtaining sample size is represented by proportion of population aged 5 to 17 years. For Darién and Los Santos provinces and Panama and San Miguelito districts sample size calculations were independent for urban and rural areas, due primordially to the fact that sizes obtained by proportional distribution in some areas were very small, leading to a sampling error much larger than desired.

Sample selection: Probabilistic cluster sampling was applied. Sample design responds to a one-stage design, selecting primary sampling units (census segments) by systematic selection with probability proportional to size. The statistical inference process for the nonindigenous sample selected was carried out by area, by applying the ratio method, using as the exogenous variable demographic projections of the population 5 to 17 years of age.

Pages 6-8 of the study report (available as external resources) provide detailed explanation, formulae and tables on sample design and implementation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is divided into the following sections: I. Location of the dwelling II. Information on the dwelling III. Household income and expenses IV. List of occupants V. General Characteristics VI. Sociodemographic Characteristics VII. Educational Characteristics VIII. Economic Characteristics IX. Job related injuries or diseases X. Parent perceptions of persons aged 5-12 years who are employed XI. Perceptions of persons aged 5-12 years who are employed.

Spanish and English versions of the questionnaire are provided as external resources.

Cleaning operations

Generalities In order to facilitate development of the different systems, the following documentation was available: list of interviewers and supervisors by province and code; recode list for conditions of employment; list of validations and inconsistencies; interviewer's manual; final questionnaire; file of segments covered by the Survey and a file of indigenous segments. Six systems were developed for the Child Labour Survey, to wit: Data Entry System, Coverage Control System, Recode System, Tabulation System, Expansion Factor System and Data Dictionary System. The Data Entry System was developed using Visual FoxPro (Release 5.0). This system is divided into 4 Sub-Systems: Addition, Query, Modification and Elimination.Validations and inconsistency correction were carried out on-line. This means that the System would not allow data entry personnel to continue if they had not made the due corrections. For greater security and data integrity, once the data entry period was over, batch verifications were carried out, using the same package mentioned above.

Data Entry The Data Entry System was developed under Client-Server architecture. This means that the executable system was server-based, along with its different components, including the 5 databases which were receiving information from questionnaire contents. The Client was a data entry person using a PC as a terminal to access the Server. Every afternoon a backup was carried out from the server to the PC of the Child Labour Survey Information Systems Administrator. Data entry personnel for this Child Labour Survey were chosen from a larger group of data entry personnel from the Household Survey, in addition to having had fieldwork experience. Data entry personnel were limited to consulting specialised personnel or the Programmer-Analyst for the different Systems for this Child Labour Survey. The data were collected in Spanish. For the Statistics and Census Office, any information requested from a citizen is confidential material. Thus, for data entry personnel, the questionnaire and everything related to it was sensitive information. There were controls to determine which data entry person was entering which folder and on which date. The questionnaires could not be removed from the work area.

Each data entry person (of the 8 selected) removed a folder from the shelves, after writing it down in the control list. Each folder was made up of 4 to 6 segments, depending on their size. Data entry began on March 28 and ended on June 12 of the same year, 2001. During the first month, data entry worked in two shifts, from 7:00 a.m. to 3:00 p.m. and from 3:00 p.m. to 10:00 p.m. Later, a single shift was put into effect, from 8:30 a.m. to 4:30 p.m. Initial verification of data entry for a questionnaire was the responsibility of a database called Coverage, which verified that a particular segment was valid (Province + District + Corregimiento + Segment). If the foregoing was correct, data entry could continue for Questionnaire + Household + Person Number (this last number was excluded for the Dwelling database). These data, together with that from Coverage, were verified in the other 5 databases to avoid duplicating keys. Data for a total of 9,261 questionnaires were entered.

Data Processing It should be mentioned that the data processing directives followed are those established by

Panama No. of Traffic Accidents data was reported at 4,303.000 Number in Dec 2024. This records an increase from the previous number of 4,061.000 Number for Nov 2024. Panama No. of Traffic Accidents data is updated monthly, averaging 3,811.000 Number from Jan 2019 (Median) to Dec 2024, with 72 observations. The data reached an all-time high of 4,474.000 Number in Mar 2019 and a record low of 1,067.000 Number in Apr 2020. Panama No. of Traffic Accidents data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]

Abstract

Objectives of the ENV 2008

• To assess the impact of economic and social policies on the well-being of citizens.
• To estimate the levels of poverty and inequality in the population, and their determinants, in order to formulate public policies, and to design strategies and programmes to address these problems.
• Establish the changes that have occurred in living conditions, income, expenditure and the different social indicators of the population in relation to the years 1997 and 2003.
• Generate information to update the instruments for the prioritisation and targeting of public spending.

Geographic coverage

National coverage. Domains: Urban/rural; Panama City; Rest of Panama District; San Miguelito; West Panama; East Panama; Colon; Cocle; Herrera; Los Santos; Veraguas; Bocas del Toro; Chiriqui; Darien; Indigenous Area

Analysis unit

Households, Individuals, Community

Universe

The living standards survey considered as the study universe the total population residing in the country's occupied private dwellings, according to the 2000 Population and Housing Census. The universe, according to the objective of the research, was divided into a non-indigenous sub-universe and an indigenous sub-universe, the latter consisting of the country's comarcas and the indigenous rural areas outside the comarcal areas, which maintain their socio-cultural patterns.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE FRAME

Based on the census information, as well as the Census 2000 cartography, the sampling frame consisted of the census segments of the country.

PRIMARY SAMPLING UNITS

The constitution of the primary sampling units arises from the application of an association rule, which would allow at the moment of selection the union of the census segments, having a size of 20 or more private dwellings, both in the non-indigenous and indigenous universe. The secondary sampling units are the private dwellings in the country, registering the entire population residing in the selected occupied dwellings.

The primary sampling units, once selected, were sent to the Cartography section of the Directorate of Statistics and Census, in order to proceed with the cartographic update, drawing up a list or register of dwellings for each of the units, which would allow the second stage sample to be obtained; in other words, the dwellings that would be investigated in the survey.

DOMAIN OF STUDY

Taking the 1997 and 2003 studies as a reference, and with the purpose of making the results of the research comparative, it was determined that the study domains, for which reliable estimates are desired, would be represented in the first instance at the level of the Republic by urban and rural area; non-indigenous sample by area and indigenous sample. The eight provinces of the country also constitute study domains.

The province of Panama, due to its importance, is broken down into the following sub-domains: a. District of Panama b. Panama City c. Rest of Panama District d. District of San Miguelito e. West Panama: made up of the District of Arraiján, La Chorrera, Capira, Chame and San Carlos. f. Rest of the province of Panama (East Panama).

STRATIFICATION

The design of the non-indigenous and indigenous sample of the Living Standards Survey was based on implicit stratification, that is, on a geographic criterion, by domain of study, with the urban and rural areas of the country constituting strata.

A. Non-indigenous sample

1. Province: urban and rural
2. Panama City: urban
3. Rest of Panama District: urban and rural
4. San Miguelito District: urban
5. West Panama:
6. Arraiján: urban, rural
7. La Chorrera: urban, rural
8. Rest of West Panama: urban, rural
9. Rest of Panama province
10. East Panama: urban, rural

SAMPLE SIZE

Considering the requirements of disaggregation of the results at the province level and the desired comparability, it was determined to maintain the same sample size investigated in the 2003 survey. The calculation of the sample size was applied at the level of the study domains and is based on the assumption of simple random sampling and the requirements of precision and confidence required for the research.

The mathematical model of simple random sampling allows an initial estimate of the required sample size to be obtained:

no = (k^2 * p * q) / E^2

Where: no = Initial sample size estimate. K = Required confidence level. The value specified for 1 - a, usually 95%, where k = 1.96. P = Value of the actual percentage or proportion of the study when unknown, so P = 0.50 Q = 1 - P = 0.50 E = Maximum sampling error determined, representing the maximum acceptable difference between the actual value, P , and its estimate, p , from the survey.

The initial estimate of the sample size per domain must be corrected, as the sample design for the research corresponds to a stratified sample in two stages of selection. The sample correction is derived from the design effect (DEFF) and represents the ratio of the variance of the parameter estimated by cluster sampling to the variance of the same parameter resulting from simple random sampling.

A conservative correction, used in the previous survey, was to apply a DEFF = 2.25 to the sample sizes obtained by simple random sampling and an additional correction as a response rate of approximately 80%.

nF = (n0 * DEFF) / TR

Where nF = Final sample size of private dwellings

It is important to indicate that within the selected primary sampling units, an average of 10 private dwellings would be investigated, representing the second stage units of the sample design. The sample sizes obtained for the study domains considered allow us to obtain estimates of percentages or proportions with a level of precision of less than or equal to 10%.

The total sample by design amounted to 8,000 private dwellings, with 4,165 in urban areas and 3,835 in rural areas. In the non-indigenous sample, the private dwellings selected amounted to 7,450 housing units and in the indigenous sample to 550 units. The total sample to be investigated allowed, according to the sample design criteria, the selection of 800 primary sampling units, of which 745 belonged to the non-indigenous sample and 55 to the indigenous sample.

DISTRIBUTION AND SELECTION OF THE SAMPLE

The size of the sample of private dwellings by urban and rural area for the non-indigenous and by comarcas for the indigenous, was made by means of a proportional distribution to the number of dwellings in the universe. The primary sampling units were selected by probability sampling proportional to the total number of private dwellings; while in the urban area, in secondary sampling units, five clusters of two private dwellings were selected by the systematic method, and in the rural area, one cluster of ten dwellings, respectively.

The final probability of sample selection by domain of study and area is a function of the probabilities of selection of the first and second stages, which have been calculated with the results of the Population and Housing Census of May 2000.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

• Community Questionnaire
• Living Standards Survey
• Price Questionnaire

Response rate

The coverage of the collection was recorded by Stage and by province, and then a summary of National Coverage was consolidated.

At the end of the ENV-08 Field Operation, a total of 7,274 dwellings were visited, and 6,977 were found to be fully occupied. Complete information was obtained in 7,045 households where 26,162 persons were interviewed. A total of 781 community meetings and 618 price surveys were conducted.

SUMMARY OF SURVEY COVERAGE STATUS (Percentage)

Dwellings Visited: 100.0 a. Fully Occupied: 95.9 b. Incomplete Occupied: 1.0 c. Refusals: 1.4 d. Temporarily absent: 1.7

Sampling error estimates

The quality indicators of the survey estimates will be calculated with the statistical package SPSS 15; considering the main variables of the survey.

Panama No. of Traffic Accidents: Deaths data was reported at 37.000 Person in Dec 2024. This records an increase from the previous number of 33.000 Person for Nov 2024. Panama No. of Traffic Accidents: Deaths data is updated monthly, averaging 25.000 Person from Jan 2019 (Median) to Dec 2024, with 72 observations. The data reached an all-time high of 57.000 Person in Feb 2023 and a record low of 6.000 Person in Apr 2020. Panama No. of Traffic Accidents: Deaths data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]

What are the top vacation rentals in El Rodeo? How many vacation rentals have private pools in El Rodeo? Which vacation homes in El Rodeo are best for families? How many Rentbyowner vacation rentals are available in El Rodeo?

Discover the latest eCommerce statistics in Panama for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Panama, uncovering the distribution of stores across categories and platforms.

The Human immunodeficiency virus type-1 (HIV-1) subtype B is the most predominant clade in Central America; but information about the evolutionary history of this virus in this geographic region is scarce. In this study, we reconstructed the spatiotemporal and population dynamics of the HIV-1 subtype B epidemic in Panama. A total of 761 HIV-1 subtype B pol sequences obtained in Panama between 2004 and 2013 were combined with subtype B pol sequences from the Americas and Europe. Maximum Likelihood phylogenetic analyses revealed that HIV-1 subtype B infections in Panama derived from the dissemination of multiple founder viruses. Most Panamanian subtype B viruses (94.5%) belong to the pandemic viral strain proposed as originated in the US, whereas others (5.5%) were intermixed among non-pandemic Caribbean strains. The bulk (76.6%) of subtype B sequences from Panama grouped within 12 country-specific clades that were not detected in other Central American countries. Bayesian coalescent-based analyses suggest that most Panamanian clades probably originated between the early 1970s and the early 1980s. The root location of major Panamanian clades was traced to the most densely populated districts of Panama province. Major Panamanian clades appear to have experienced one or two periods of exponential growth of variable duration between the 1970s and the 2000s, with median growth rates from 0.2 to 0.4 year−1. Thus, the HIV-1 subtype B epidemic in Panama is driven by the expansion of local viral strains that were introduced from the Caribbean and other American countries at an early stage of the AIDS pandemic.

In 2023, across the regions of Panama, the occurrences of divorces exhibited disparities, with Panama province documenting the highest count, approximately *****, and West Panama closely following with *** cases.

No. of Traffic Accidents: Panama data was reported at 2,678.000 Number in Dec 2024. This records an increase from the previous number of 2,325.000 Number for Nov 2024. No. of Traffic Accidents: Panama data is updated monthly, averaging 2,073.500 Number from Nov 2019 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 2,678.000 Number in Dec 2024 and a record low of 585.000 Number in Apr 2020. No. of Traffic Accidents: Panama data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]

Panama No. of Traffic Accidents: Darien data was reported at 8.000 Number in Dec 2024. This records a decrease from the previous number of 20.000 Number for Nov 2024. Panama No. of Traffic Accidents: Darien data is updated monthly, averaging 14.000 Number from Nov 2019 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 24.000 Number in Mar 2024 and a record low of 7.000 Number in Feb 2024. Panama No. of Traffic Accidents: Darien data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]

This statistic represents the distribution of ownership of start-up businesses in Panama in 2017, by region. In that year, half of the registered start-up businesses were located in the country's central region, with a share of ** percent.

Geologically, Panama belongs to the Central American land-bridge between North and South America crossed by Homo sapiens >14 ka ago. Archaeologically, it belongs to a wider Isthmo-Colombian Area. Today, seven indigenous ethnic groups account for 12.3% of Panama’s population. Five speak Chibchan languages and are characterized by low genetic diversity and a high level of differentiation. In addition, no evidence of differential structuring between maternally and paternally inherited genes has been reported in isthmian Chibchan cultural groups. Recent data have shown that 83% of the Panamanian general population harbour mitochondrial DNAs (mtDNAs) of Native American ancestry. Considering differential male/female mortality at European contact and multiple degrees of geographical and genetic isolation over the subsequent five centuries, the Y-chromosome Native American component is expected to vary across different geographic regions and communities in Panama. To address this issue, we investigated Y-chromosome variation in 408 modern males from the nine provinces of Panama and one indigenous territory (the comarca of Kuna Yala). In contrast to mtDNA data, the Y-chromosome Native American component (haplogroup Q) exceeds 50% only in three populations facing the Caribbean Sea: the comarca of Kuna Yala and Bocas del Toro province where Chibchan languages are spoken by the majority, and the province of Colón where many Kuna and people of mixed indigenous-African-and-European descent live. Elsewhere the Old World component is dominant and mostly represented by western Eurasian haplogroups, which signal the strong male genetic impact of invaders. Sub-Saharan African input accounts for 5.9% of male haplotypes. This reflects the consequences of the colonial Atlantic slave trade and more recent influxes of West Indians of African heritage. Overall, our findings reveal a local evolution of the male Native American ancestral gene pool, and a strong but geographically differentiated unidirectional sex bias in the formation of local modern Panamanian populations.

Panama No. of Traffic Accidents: Deaths: Los Santos data was reported at 2.000 Person in Dec 2024. This records an increase from the previous number of 0.000 Person for Nov 2024. Panama No. of Traffic Accidents: Deaths: Los Santos data is updated monthly, averaging 1.000 Person from Nov 2019 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 3.000 Person in Apr 2024 and a record low of 0.000 Person in Nov 2024. Panama No. of Traffic Accidents: Deaths: Los Santos data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]

Distribution of Y-chromosome haplogroups (%) in the Panamanian samples with PGF in Panama.

No. of Traffic Accidents: Panama Oeste data was reported at 605.000 Number in Dec 2024. This records a decrease from the previous number of 659.000 Number for Nov 2024. No. of Traffic Accidents: Panama Oeste data is updated monthly, averaging 583.500 Number from Nov 2019 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 702.000 Number in Mar 2024 and a record low of 178.000 Number in Apr 2020. No. of Traffic Accidents: Panama Oeste data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.TA008: Number of Traffic Accidents and Deaths: by Province. [COVID-19-IMPACT]