National Agricultural Census 2000
Ecuador, 2000
Get Microdata
Reference ID
ECU_2000_CNA_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics and Census
Collections
Metadata
Created on
Sep 18, 2019
Last modified
Oct 29, 2019
Page views
1787
Downloads
993
Identification
Survey ID Number
ECU_2000_CNA_v01_EN_M_v01_A_OCS
Title
National Agricultural Census 2000
Country
| Name | Country code |
|---|---|
| Ecuador | ECU |
Study type
Agricultural Census [ag/census]
Series Information
This is the 3rd National Agricultural census carried out in Ecuador. The first was conducted in 1954 and the second in 1974.
Abstract
Ecuador has made efforts over the last 40 years to compile statistical information on the agricultural sector. The First National Agricultural Census by Sampling was conducted in 1954, followed by a National Agricultural Survey in 1968 and the Second National Agricultural Census of 1974 which was full enumeration.
The 3rd national agricultural census was carried out in 2000, in order to update structural information about the agricultural sector, and serve as a basis to re-establish a permanent information system. The census provided national and provincial level results.
More specifically, it had the following objectives:
1. Generate structural information on the agricultural sector.
2. Provide sufficient information for the re-establishment of a national system of agricultural statistics, which permanently measures the dynamics of the sector.
3. Strengthen institutional capacities, particularly of National Institute of Statistics and Census (INEC) and Ministry of Agriculture and Livestock (MAG) to conduct agricultural surveys by sampling.
The 3rd national agricultural census was carried out in 2000, in order to update structural information about the agricultural sector, and serve as a basis to re-establish a permanent information system. The census provided national and provincial level results.
More specifically, it had the following objectives:
1. Generate structural information on the agricultural sector.
2. Provide sufficient information for the re-establishment of a national system of agricultural statistics, which permanently measures the dynamics of the sector.
3. Strengthen institutional capacities, particularly of National Institute of Statistics and Census (INEC) and Ministry of Agriculture and Livestock (MAG) to conduct agricultural surveys by sampling.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Agricultural holdings
Scope
Notes
1. General Characteristics
2. Area of Agricultural Production Units
3. Land use and irrigation
4. Permanent crops
5. Temporary crops
6. Cultivated pastures
7. Floriculture
8. Cattle
9. Pig cattle
10. Sheep
11. Other livestock species
12. Poultry
13. Shrimps
14. Population and Labour
15. Machinery and facilities equipment
16. Availability of Infrastructure and other economic aspects of organization
2. Area of Agricultural Production Units
3. Land use and irrigation
4. Permanent crops
5. Temporary crops
6. Cultivated pastures
7. Floriculture
8. Cattle
9. Pig cattle
10. Sheep
11. Other livestock species
12. Poultry
13. Shrimps
14. Population and Labour
15. Machinery and facilities equipment
16. Availability of Infrastructure and other economic aspects of organization
Coverage
Geographic Coverage
National Coverage
Universe
Population of households residing in the agricultural holding
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics and Census | Government of Ecuador |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture and Livestock | Government of Ecuador | |
| Service Project Information and Agricultural Census | Technical Assistance | |
| National Service of Agricultural Statistics | United States Department of Agriculture (USDA) | Technical Assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The World Bank | WB | Funding |
Sampling
Sampling Procedure
The National Agricultural Census (CNA) 2000 made use of a multiple sampling frame. It combined the use of two sample frames. The first frame was a list frame, the second was an Area Frame (SAF). This method is completely objective and efficient to achieve high accuracy of data and results, minimizes the cost, and allows estimations, and confidence intervals around the true population parameter.
The sample of areas of the CNA 2000 constituted the entire national territory, except the Galapagos Province.
The stratified sampling design was used considering the canton as a domain minimum of study, with optimal fixation. Sample selection was carried out in in two stages. In the first stage, there was a random and systematic selection of Primary Sampling Units (PSUs), with Probability Proportional to Size (PPS). In the second stage, random selection was done, with probabilities equal to the Sampling Segments (SSs) into which the units of the first stage were divided.
Initial feasibility approaches regarding the national sample size promoted the use of approximately 10,000 SSs, assuming that this size allows for estimating results per canton. With the sample size established a priori, its affixation or distribution between provinces, cantons and strata, made use of area information from planted crops like rice, banana, coffee, corn (of all varieties), African palm, potatoes and pastures; in addition to the total arable land planted. This information was taken from the National Survey of Area and Production, carried out by the statistical body in 1995.
The sample of areas of the CNA 2000 constituted the entire national territory, except the Galapagos Province.
The stratified sampling design was used considering the canton as a domain minimum of study, with optimal fixation. Sample selection was carried out in in two stages. In the first stage, there was a random and systematic selection of Primary Sampling Units (PSUs), with Probability Proportional to Size (PPS). In the second stage, random selection was done, with probabilities equal to the Sampling Segments (SSs) into which the units of the first stage were divided.
Initial feasibility approaches regarding the national sample size promoted the use of approximately 10,000 SSs, assuming that this size allows for estimating results per canton. With the sample size established a priori, its affixation or distribution between provinces, cantons and strata, made use of area information from planted crops like rice, banana, coffee, corn (of all varieties), African palm, potatoes and pastures; in addition to the total arable land planted. This information was taken from the National Survey of Area and Production, carried out by the statistical body in 1995.
Weighting
Since the census was conducted by sampling, weighting was used. The variable (FACTORUPA) is the weighting factor and is applicable to all quantitative variables in the dataset table; excluding the descriptive ones.
Data Collection
Dates of Data Collection
| Start |
|---|
| 2000 |
Data Collection Mode
Face-to-face paper [f2f]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Diego Orbe | Institute of Statistics and Censuses (INEC) | [email protected] | Link |
Confidentiality
Please see the microdata dissemination policy of the Instituto Nacional de Estadistica y Censos (INEC).
Access conditions
Please see the microdata dissemination policy of the Instituto Nacional de Estadistica y Censos (INEC).
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI Document ID
DDI_ECU_2000_CNA_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata Producer |
DDI Document version
ECU_2000_CNA_v01_EN_M_v01_A_OCS_v01