Annual Agricultural Area and Production Survey 2015
Ecuador, 2015
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Reference ID
ECU_2015_ESPAC_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics and Censuses (INEC), Agricultural Statistics Unit
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Feb 25, 2020
Last modified
Feb 25, 2020
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Identification
Survey ID Number
ECU_2015_ESPAC_v01_EN_M_v01_A_OCS
Title
Annual Agricultural Area and Production Survey 2015
Country
| Name | Country code |
|---|---|
| Ecuador | ECU |
Study type
Agricultural Survey [ag/oth]
Series Information
Ecuador has been conducting Annual Agricultural Area and Production (ESPAC) surveys since 1982 to provide statistical data. The survey was however suspended between 1996 - 1999, due to lack of financial resources. Since 2002, after the completion of the third National Agricultural Census in 2000; the survey has continued till date.
From 2009, additional 115 sample segments were included in the Area Sample Frame (MMA). This was due to the creation of two new provinces: Santa Elena and Santo Domingo de los Tsachilas. Also, in 2014, a new sampling and information capture frame was generated, using the location of the research areas with new technology. This was done in order to generate reliable and timely results that contribute to changes in the production matrix of Ecuador.
For ESPAC 2015, the sample adopted in the previous year was maintained with the objective of increasing the products covered within the scope of the study.
From 2009, additional 115 sample segments were included in the Area Sample Frame (MMA). This was due to the creation of two new provinces: Santa Elena and Santo Domingo de los Tsachilas. Also, in 2014, a new sampling and information capture frame was generated, using the location of the research areas with new technology. This was done in order to generate reliable and timely results that contribute to changes in the production matrix of Ecuador.
For ESPAC 2015, the sample adopted in the previous year was maintained with the objective of increasing the products covered within the scope of the study.
Abstract
The National Institute of Statistics and Census (INEC), through the Directorate of Agricultural and Economic Statistics (DEAGA) executed the Annual Agricultural Area and Production Survey (ESPAC), 2015.
This survey was carried out in Ecuador at the national level, in all provinces, except for the Galapagos and unassigned areas such as Las Golondrinas, Manga del Cura and El Piedrero. A method known as the multiple sample frame was applied for the survey, which is a combination of area sample frames and list sample frames. The unit of observation is the agricultural land or holding.
The main objective of the survey is to provide information on the agricultural sector, referring to planted, sown, and/or harvested areas, production and sales of permanent/transient crops, animal/livestock breeding, as well as, the employment of labor. This was done in order to have information for formulating crop plans and diversification of agricultural production, formulating price rules and, incentives to improve agricultural production. It was also done to establish a system of equitable distribution of production in the different areas of the country, contribute to the sectoral economic analysis, as well as, the preparation and execution of import and export policies for agricultural products so that the country, through the national government, can promote policies that strengthen the agricultural sector.
This survey was carried out in Ecuador at the national level, in all provinces, except for the Galapagos and unassigned areas such as Las Golondrinas, Manga del Cura and El Piedrero. A method known as the multiple sample frame was applied for the survey, which is a combination of area sample frames and list sample frames. The unit of observation is the agricultural land or holding.
The main objective of the survey is to provide information on the agricultural sector, referring to planted, sown, and/or harvested areas, production and sales of permanent/transient crops, animal/livestock breeding, as well as, the employment of labor. This was done in order to have information for formulating crop plans and diversification of agricultural production, formulating price rules and, incentives to improve agricultural production. It was also done to establish a system of equitable distribution of production in the different areas of the country, contribute to the sectoral economic analysis, as well as, the preparation and execution of import and export policies for agricultural products so that the country, through the national government, can promote policies that strengthen the agricultural sector.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The description of scope for the survey includes:
1. General characteristics of production units
2. Production area
3. Land use characteristics
4. Permanent crops of the production units
5. Temporary crops of the production units
6. Permanently displaced plants or trees
7. Floriculture
8. Cattle
9. Pig
10. Sheep
11. Other livestock species
12. Poultry field and nursery
13. Labor/workforce
14. Informant data
1. General characteristics of production units
2. Production area
3. Land use characteristics
4. Permanent crops of the production units
5. Temporary crops of the production units
6. Permanently displaced plants or trees
7. Floriculture
8. Cattle
9. Pig
10. Sheep
11. Other livestock species
12. Poultry field and nursery
13. Labor/workforce
14. Informant data
Coverage
Geographic Coverage
National Coverage (Except Galapagos).
Universe
All properties that are within the selected sampling segment.
The survey covers the rural area of continental Ecuador. However, populated centers, the province of Galapagos and areas not assigned to a province such as Las Golondrinas, Manga del Cura and El Piedrero are excluded.
The survey covers the rural area of continental Ecuador. However, populated centers, the province of Galapagos and areas not assigned to a province such as Las Golondrinas, Manga del Cura and El Piedrero are excluded.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics and Censuses (INEC) | National Secretary of Planning and Development (SENPLADES) |
| Agricultural Statistics Unit | Directorate of Agriculture and Economic Statistics |
Producers
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Ministry of Finance | MF | Financing of the entire statistical operation |
Sampling
Sampling Procedure
The Annual Agricultural Area and Production Survey (ESPAC) 2015 uses the multi-frame sampling methodology (MMM), which consists of a combination of Sample Area Frame (MMA) and a Sample List Frame (MML). This statistical method is used in order to select samples/units of investigation from the area and list frames.
The MMA sampling consists of dividing the total area of the country into strata based on agricultural activity intensity. The strata are further divided into sampling segments (SMs), whose area varies according to each stratum.
The MML sampling consists of extracting information from all or a sample of the elements found in the list frame. The list frame is a directory prepared by the National Institute of Statistics and Census (INEC), which includes the main Agricultural Production Units (UPAs) that are investigated in order to improve the quality of the estimates.
The sample size consists of selecting a sample of 5,622 segments from the area frame, and a list of 3,923 observation units from the list frame.
The MMA sampling consists of dividing the total area of the country into strata based on agricultural activity intensity. The strata are further divided into sampling segments (SMs), whose area varies according to each stratum.
The MML sampling consists of extracting information from all or a sample of the elements found in the list frame. The list frame is a directory prepared by the National Institute of Statistics and Census (INEC), which includes the main Agricultural Production Units (UPAs) that are investigated in order to improve the quality of the estimates.
The sample size consists of selecting a sample of 5,622 segments from the area frame, and a list of 3,923 observation units from the list frame.
Deviations from the Sample Design
There were deviations from the original sample design due to heterogeneity of the sample frame or instrument failure or other inconsistencies that occur in the development of the survey.
Response Rate
The non-response rate is less than 0.05% because of certain segments, in which it is very difficult to collect information, due to factors such as; inability to locate segments, rejections etc.
Weighting
Expansion factor was derived for use in calculating the weights. The expansion factor was calculated as the inverse of the probability of selecting sample segments.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2015-09-21 | 2015-11-26 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
In the Annual Agricultural Area and Production Survey 2015, the Expert System is used. This is a computer system that automatically produces coding once the data is entered. This system also allows for individual review and validation, after which the database is generated. Usually, after data collection, the questionnaire is delivered to the digitizer/ operator who enters the information into the computer in the Expert System. Once the information is entered, it is encrypted, validated and verified. This validation process is implemented in the system to check for inconsistencies and errors. In certain cases, the questionnaire is delivered to the field staff so that the information is verified again, and the data is re-entered. After this, a database is created, followed by processing and analysis to generate results to be published.
Data Appraisal
Data Appraisal
The data from the survey went through several quality control processes. The first is carried out by the field supervisor, who is responsible for reviewing, evaluating, verifying and rectifying the data collected. The second is during digital data entry, where controls and validations are performed. Lastly, there is also both zonal and national supervision during data collection to minimize errors and ensure that accurate information is collected by interviewers.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Diego Orbe | National Institute of Statistics and Censuses (INEC) | [email protected] | Link |
| National Secretariat of Planning and Development | National Institute of Statistics and Censuses (INEC) | [email protected] | Link |
| Agricultural Statistics Unit | National Institute of Statistics and Censuses (INEC) | [email protected] | Link |
Confidentiality
Statistical Law:
Art. 21.- The individual data obtained for the purpose of statistics and censuses are of a reserved nature; consequently, no individual information of any kind may be disclosed, nor may they be used for other purposes such as taxation or conscription, judicial investigations and, in general, for any purpose other than the statistically or census itself.
Access conditions
The National Institute of Statistics and Censuses (INEC) considers statistical information produced with resources from the national budget as a public good and as such should be widely available to users. INEC will establish the specific criteria and mechanisms for access to user information, clearly identifying the public good criterion of the cost recovery, criteria for the services produced in support of the financing of its activities, for which will be issued the corresponding protocols for access to information.
Lines of Action:
Access to information protocols:
- The information generated with financing of resources of the national budget, in whole or in part; that is processed, reviewed and available/suitable for dissemination (whether through synthesis indicators, tabulated or harmonized primary databases), and anonymized will be freely available.
- The information generated with financing from public, private or international institutions will be freely available, if there are no explicit indications to the contrary.
- The statistical information will be disseminated in a disaggregated way at the thematic and geographical level, using relative and absolute values, including the available historical information.
- The methodologies and complementary information explaining the potentialities and limitations of the data obtained, such as process reports, quality assessments of statistical operations, among others, will be freely available to users.
- Printed publications of rapid diffusion through brochures, posters, leaflets, among others, will be free.
- Access to the consultation of publications in the Library of the institution will be free.
- All statistical services that involve the consumption of man-hours, such as data processing to meet specific requests, preparation of databases tailored to the user, preparation of reports, graphs and analysis, among others, will have a cost proportional to service size.
- All printed publications (books, newsletters, reports) or in electronic media (CD Rom, diskette) containing results of statistical research will have a cost.
- All photocopying or computer printing services will have a cost relative to the size of the service.
- Sample preparation services and cartographic base will also have a cost proportional to the size of the service.
Lines of Action:
Access to information protocols:
- The information generated with financing of resources of the national budget, in whole or in part; that is processed, reviewed and available/suitable for dissemination (whether through synthesis indicators, tabulated or harmonized primary databases), and anonymized will be freely available.
- The information generated with financing from public, private or international institutions will be freely available, if there are no explicit indications to the contrary.
- The statistical information will be disseminated in a disaggregated way at the thematic and geographical level, using relative and absolute values, including the available historical information.
- The methodologies and complementary information explaining the potentialities and limitations of the data obtained, such as process reports, quality assessments of statistical operations, among others, will be freely available to users.
- Printed publications of rapid diffusion through brochures, posters, leaflets, among others, will be free.
- Access to the consultation of publications in the Library of the institution will be free.
- All statistical services that involve the consumption of man-hours, such as data processing to meet specific requests, preparation of databases tailored to the user, preparation of reports, graphs and analysis, among others, will have a cost proportional to service size.
- All printed publications (books, newsletters, reports) or in electronic media (CD Rom, diskette) containing results of statistical research will have a cost.
- All photocopying or computer printing services will have a cost relative to the size of the service.
- Sample preparation services and cartographic base will also have a cost proportional to the size of the service.
Citation requirements
National Institute of Statistics and Censuses of Ecuador, Annual Agricultural Area and Production Survey 2015, of the data set for public use, provided by the National Institute of Statistics and Censuses of Ecuador.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics and Census (INEC) | National Secretariat of Planning and Development (SENPLADES) | www.inec.gob.ec | INEC |
Disclaimer and copyrights
Disclaimer
The user of the data recognizes that the original data collector, the authorized distributor of the data, and the relevant funding agency have no responsibility for the use of the data or for the interpretations or inferences based on such uses.
Copyright
(c) 2010 National Institute of Statistics and Censuses (INEC)
Metadata production
DDI Document ID
DDI_ECU_2015_ESPAC_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| National Institute of Statistics and Census | INEC | National Secretariat of Planning and Development (SENPLADES) | Producer of the entire statistical operation |
| Diego Orbe | DO | National Institute of Statistics and Census (INEC) | Documentation of the entire statistical operation |
| Jenny Cushicondor | JC | National Institute of Statistics and Census (INEC) | Metadata reviewer |
| David Salazar | DS | National Institute of Statistics and Census (INEC) | Approval of metadata publication in ANDA |
DDI Document version
ECU_2015_ESPAC_v01_EN_M_v01_A_OCS_v01