National Agricultural Survey 2012
Mexico, 2012
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Reference ID
MEX_2012_ENA_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics, Geography and Informatics
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Metadata
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Mar 13, 2020
Last modified
Mar 13, 2020
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Identification
Survey ID Number
MEX_2012_ENA_v01_EN_M_v01_A_OCS
Title
National Agricultural Survey 2012
Country
| Name | Country code |
|---|---|
| Mexico | MEX |
Study type
Agricultural Survey [ag/oth]
Series Information
This is the first agricultural survey carried out in Mexico. In order to carry out the survey, public consultation and pilot tests were carried out in 2011.
Abstract
The National Institute of Statistics and Geography (INEGI), in order to strengthen the generation of agricultural statistics, carried out the National Agricultural Survey 2012 (ENA 2012), with the primary objective of obtaining economic and development information on activities related to production of the main crops and livestock species in the country.
The products included in the Survey were defined by their high contribution to the National Gross Domestic Product (GDP); for being important for the population, according to the Sustainable Rural Development Law and for being part of the strategic food products according to the Food and Agriculture Organization of the United Nations (FAO).
The information of the ENA 2012, was captured by a mobile electronic device (tablet type), and a pre-designed questionnaire for each selected production unit. During the interview, land registration was carried out using a cartographic module incorporated into the mobile electronic device. In some cases, a printed map and a basic questionnaire was administered.
Information on the main agricultural and livestock products obtained from the ENA is one of the main sources for planning and making policies, by public and private sector institutions linked to the rural environment. Thus, information from the survey can serve as a primary tool for the analysis of the behavior of the agricultural sector in the context of the economy in the country. In general terms, the survey had the following objectives/outputs:
- Obtain useful information from the structural point of view of 33 agricultural and livestock products of greater interest in the country.
- Have current data to support producers and productive organizations in the rural sector, which are part of the agricultural production system, sponsored by the ministry of Agriculture (SAGARPA).
- Obtain indicators in support of decision-making to implement policies that encourage the adoption of new technologies.
- Generate information that supports the decisions of new forms of market entry.
- Identify the problems that producers face in their activities.
- Facilitate the comparison of information with other sources at an international level and between different regions of the country, in addition to allowing linkage to databases of other projects undertaken by INEGI.
- Formulate specific research projects with agricultural producers.
- Provide relevant information on the sector that allows the evaluation of the effectiveness of government policies and agricultural development programs in the country, which have an impact on the food security of the population.
The products included in the Survey were defined by their high contribution to the National Gross Domestic Product (GDP); for being important for the population, according to the Sustainable Rural Development Law and for being part of the strategic food products according to the Food and Agriculture Organization of the United Nations (FAO).
The information of the ENA 2012, was captured by a mobile electronic device (tablet type), and a pre-designed questionnaire for each selected production unit. During the interview, land registration was carried out using a cartographic module incorporated into the mobile electronic device. In some cases, a printed map and a basic questionnaire was administered.
Information on the main agricultural and livestock products obtained from the ENA is one of the main sources for planning and making policies, by public and private sector institutions linked to the rural environment. Thus, information from the survey can serve as a primary tool for the analysis of the behavior of the agricultural sector in the context of the economy in the country. In general terms, the survey had the following objectives/outputs:
- Obtain useful information from the structural point of view of 33 agricultural and livestock products of greater interest in the country.
- Have current data to support producers and productive organizations in the rural sector, which are part of the agricultural production system, sponsored by the ministry of Agriculture (SAGARPA).
- Obtain indicators in support of decision-making to implement policies that encourage the adoption of new technologies.
- Generate information that supports the decisions of new forms of market entry.
- Identify the problems that producers face in their activities.
- Facilitate the comparison of information with other sources at an international level and between different regions of the country, in addition to allowing linkage to databases of other projects undertaken by INEGI.
- Formulate specific research projects with agricultural producers.
- Provide relevant information on the sector that allows the evaluation of the effectiveness of government policies and agricultural development programs in the country, which have an impact on the food security of the population.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The description of scope includes:
1. General characteristics of the land
2. Land use
3. Agriculture
4. Animal breeding and exploitation
5. Tractor and machinery
6. Credit and Insurance
7. Payment for environmental services
8. Labor/workforce
9. Information technologies
10. Main problems
11. Agricultural production unit expenses
12. Identification data
1. General characteristics of the land
2. Land use
3. Agriculture
4. Animal breeding and exploitation
5. Tractor and machinery
6. Credit and Insurance
7. Payment for environmental services
8. Labor/workforce
9. Information technologies
10. Main problems
11. Agricultural production unit expenses
12. Identification data
Topics
| Topic |
|---|
| Agricultural production |
| Livestock production |
Keywords
| Keyword |
|---|
| Production unit |
| Land Area |
| Irrigation |
| Protected agriculture |
| Alternative agriculture |
| Nurseries |
| Greenhouses |
| Cattle |
| Pig |
| Poultry |
| Other animal species |
| Sale |
| Tractors |
| Credit |
| Insurance |
| Labour |
| Producer |
Coverage
Geographic Coverage
National Coverage
Universe
The universe for ENA 2012 was made up of 97,442 production units from the 3.94 million units captured by the 2007 Agricultural Census. This universe was defined from the 33 products of interest selected for the survey, 29 which are annual and perennial crops and the rest corresponds to livestock species of economic importance for the country. The products include: Corn, Fodder, Sugarcane, Grasses, Wheat, Avocado, Sorghum, Beans, Chili, Alfalfa, Tomato, Potato, Melon and Watermelon, Coffee, Orange, Grape, Banana, Lemon, Mango, Onion, Pumpkin, Green Tomato, Cotton, Apple, Cocoa, Rice, Barley, Soy, Forage Oats, Cattle, Swine, Poultry and Egg.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics, Geography and Informatics | Government of Mexico |
Producers
| Name | Affiliation |
|---|---|
| General Directorate of Economic Statistics | Government of Mexico |
| Deputy General Directorate of Economic and Agricultural Censuses | Government of Mexico |
| Directorate of Census and Agricultural Surveys | Government of Mexico |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| National Institute of Statistic and Geography | INEGI |
| Ministry of Agriculture, Livestock, Rural Development, Fisheries and Food | SAGARPA |
Sampling
Sampling Procedure
The sample design was probabilistic, so the results obtained from the survey are generalized to the entire target population, where the sampling unit is the production unit. The sampling frame was formed from the final results of the 2007 Agricultural Census, considering the 3,943,935 production units that reported information on any of the 33 products of interest. Thus, in total, the universe for ENA 2012 was made up of 97,442 production units from the 3.94 million units captured by the 2007 Agricultural Census. This universe was defined based on the 33 products of interest selected for the survey, 29 which are annual and perennial crops, with the rest corresponding to livestock species of economic importance for the country. At the national level, the domains of the study are each of the 33 agricultural products selected; while at the federal entity level, the domains are the main products from this 33 selected products.
Stratified sampling method was used in sampling 31 products. However, for poultry and egg products, only large producers were considered in the sample. The selected crops were classified into stratas according to the land area cultivated in hectares (more than 20; 11-20; 6-10; 3-5; 0-2), while livestock products were classified based on stocks. Crops that fall in the first strata (more than 20 hectares), were further classified into 2 sub-stratas (21-50 hectares; more than 50 hectares). These crops include: Corn, Coffee, Rice, Pumpkin, Grasses, Orange, Wheat, Grape, Soy, Avocado, Banana, Forage oats, Beans, Mango.
For each domain of interest, the sample was assigned in each stratum by applying the Neyman Locking method, for area planted in crops and stocks in livestock products, obtaining a formula for estimation that is presented in the reference material in of the survey. Sample selection was performed independently for each domain-stratum, the selection procedure was random without replacement. A production unit could be selected more than once for containing more than one product.
Stratified sampling method was used in sampling 31 products. However, for poultry and egg products, only large producers were considered in the sample. The selected crops were classified into stratas according to the land area cultivated in hectares (more than 20; 11-20; 6-10; 3-5; 0-2), while livestock products were classified based on stocks. Crops that fall in the first strata (more than 20 hectares), were further classified into 2 sub-stratas (21-50 hectares; more than 50 hectares). These crops include: Corn, Coffee, Rice, Pumpkin, Grasses, Orange, Wheat, Grape, Soy, Avocado, Banana, Forage oats, Beans, Mango.
For each domain of interest, the sample was assigned in each stratum by applying the Neyman Locking method, for area planted in crops and stocks in livestock products, obtaining a formula for estimation that is presented in the reference material in of the survey. Sample selection was performed independently for each domain-stratum, the selection procedure was random without replacement. A production unit could be selected more than once for containing more than one product.
Weighting
The expansion factors, both at the national level and at the entity level for each domain-stratum, were calculated as the inverse of the selection probability.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2012-10-01 | 2012-11-23 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Processing
Data Editing
After the collection of the data on the field, it was transferred to a national database in INEGI headquarters for review and analysis, through various information processing stages, with the aim of guaranteeing quality, congruence and consistency. Processing and treatment of the data consisted of the following stages:
1. Verification of the quality of information provided during capture/data collection
2. Assigning codes/keys to variables to facilitate interpretation, processing and analysis
3. Standardization of units of measurement
4. Final data validation using an automatic validation system, pre-designed with over 200 validation criteria
5. Group information analysis
6. Comparison with internal and external sources
1. Verification of the quality of information provided during capture/data collection
2. Assigning codes/keys to variables to facilitate interpretation, processing and analysis
3. Standardization of units of measurement
4. Final data validation using an automatic validation system, pre-designed with over 200 validation criteria
5. Group information analysis
6. Comparison with internal and external sources
Data Appraisal
Estimates of Sampling Error
To know the precision estimators of this project in greater detail, please refer to section 5.8 of the ENA 2012 methodological document, which is attached as a reference material.
Access policy
Contacts
| Name | URL | |
|---|---|---|
| Customer Service (INEGI) | [email protected] | Link |
Confidentiality
In accordance with the provisions of the Law of the National System of Statistical and Geographical Information in force:
Article 37. "The data provided by the Informants of the System to the Units for statistical purposes under the terms of this Law shall be strictly confidential and under no circumstances. may be used for a purpose other than the statistic ".
Article 38. "The data and reports that the Informants of the System provide for statistical purposes and that come from administrative records, will be handled in accordance with the principles of confidentiality and reserve, so they may not be disclosed in any case in a nominative or individualized manner, nor they will test before the judicial or administrative authority, including the prosecutor, at trial or outside of it. "
Article 45. "The Informants of the System will be obliged to provide, with truthfulness and timeliness, the data and reports requested by the competent authorities for statistical, census and geographic purposes, and will provide support to them."
Article 47. "The information is not subject to the Federal Law on Transparency and Access to Government Public Information."
Access conditions
Access to economic information microdata is indirect, through the requirement of special tabulations. The user must cover the cost of his generation. To request them you must go to any of the Consultation and Marketing Centers or make your request through the following link on the institutional website:
https://www.inegi.org.mx/programas/ena/2012/default.html#Microdatos
It should also be mentioned that in addition to the requirement for the generation of special tabulations, this link allows access to microdata information through the microdata laboratory for public servants of the Mexican State, academic or research institutions and international organizations.
https://www.inegi.org.mx/programas/ena/2012/default.html#Microdatos
It should also be mentioned that in addition to the requirement for the generation of special tabulations, this link allows access to microdata information through the microdata laboratory for public servants of the Mexican State, academic or research institutions and international organizations.
Citation requirements
Source: INEGI National Agricultural Survey 2012.
Disclaimer and copyrights
Disclaimer
INEGI is not responsible for the information that users generate with their own calculations, based on the use of microdata. The person who uses them in their work agrees to cite INEGI as a source of the primary data and explicitly state that the author's sole responsibility is the degree of accuracy or reliability of the information derived from that processing.
Terms of use: http://www.beta.inegi.org.mx/inegi/terminos.html
Terms of use: http://www.beta.inegi.org.mx/inegi/terminos.html
Metadata production
DDI Document ID
DDI_MEX_2012_ENA_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| National Institute of Statistic and Geography | INEGI | Metadata development | |
| General Directorate of Economic Statistics | DGEE | Metadata development | |
| Deputy General Directorate of Economic and Agricultural Censuses | DGACEA | Metadata development | |
| Directorate of Census and Agricultural Surveys | DCEA | Metadata development | |
| Coordination of Conceptual Design and Results | CDCR | Metadata development | |
| Subdirectorate of Conceptual Design | SDC | Metadata development |
DDI Document version
MEX_2012_ENA_v01_EN_M_v01_A_OCS_v01