National Agricultural Survey 2017
Mexico, 2017
Get MicrodataIdentification
MEX_2017_ENA_v01_EN_M_v01_A_OCS
National Agricultural Survey 2017
| Name | Country code |
|---|---|
| Mexico | MEX |
Agricultural Survey [ag/oth]
The ENA 2017 represents the third exercise of a series that began five years ago in view of the need to establish an agricultural information system that integrates information from censuses, as well as, continuous and joint surveys.
In 1930 the first Agricultural, Livestock and Forestry Census of Mexico was carried out and continued for every 10 years (1940, 1950, 1960, 1970, 1981), until 1991. Subsequently, an information gap of 16 years was created, as it was until 2007 when the following Agricultural, Livestock and Forestry Census was carried out, which, incidentally, is the last census of this type that has been carried out in the country.
Therefore, given the need for agricultural and forestry statistics with greater continuity, in 2012 the first National Agricultural Survey (ENA 2012) was carried out. Thereafter, it was suggested that this survey be carried out biennially, and, in 2014 the second National Agricultural Survey 2014 (ENA 2014) was carried out.
Subsequently, it had been proposed to carry out the Agricultural, Livestock and Forestry Census in 2017, with the first stage of updating the frame as a preparatory stage for the census scheduled for 2016. Consequently, the 2016 National Agricultural Survey was not scheduled. However, since the budget for the census event was not authorized in 2017, INEGI then decided to carry out the third National Agricultural Survey (ENA 2017).
The National Institute of Statistics, Geography and Informatics (INEGI) conducted the National Agricultural Survey 2017 (ENA 2017), with the purpose of providing statistics on the production of crops, livestock species and forest products that mostly contribute to the economy of the country; thus reflecting the characteristics of the production units. The survey contributes to the generation of figures that show current events and changes in the Mexican countryside, providing information that gives an overview of the agricultural and forestry sectors.
In particular, the survey produces data on the main agricultural, livestock and forestry products; as well as, information on the production units where the crop, livestock use or forestry activity are carried out. It also presents the sociodemographic characteristics of the producers and their households, as well as, small and medium units. With the results of this survey, the availability of statistical information on the agricultural and forestry sectors is strengthened.
The main objective of the survey was to obtain basic statistical information on agricultural production; most importantly, crop, livestock and forestry species in the country. This is done in order to generate updated economic and development indicators that allow the national agricultural information system to be strengthened with timely information.
The coverage of the National Agricultural Survey 2017 (ENA 2017) is similar to the first two National Agricultural Surveys (2012 and 2014) in terms of the selection of products that provide important economic and structural information on agricultural, livestock and forestry activities in Mexico. The choice of products under study considers those that generate the highest gross production value in the agricultural and forestry sectors. Similarly, those that are included in the laws and programs that govern the objectives, priorities and policies for the growth of the economy and in particular of the sector were selected; as well as those that are considered relevant internationally. For this purpose, the System of National Accounts of Mexico was considered, identifying the main products of the primary sector, according to their gross production value.
Sample survey data [ssd]
Agricultural holdings
Scope
Scope for the survey includes:
- Classification of unit of production
- Land ownership/management
- General characteristics of the land
- Organization and producer support
- Land use
- Irrigation system, quality and origin
- Agricultural/farming activity
- Animal breeding and livestock
- Tractors, machinery and vehicles
- Labor/workforce and remunerations
- Credit and Insurance
- Information and communication technology
- Main problems
- Environmental protection
- Sociodemographic characteristics
- Identification data
| Topic |
|---|
| Agricultural production |
| Livestock production |
| Forestry |
Coverage
National Coverage
The universe for the ENA 2017 was made up of 101,828 production units, coming from the Census Agricultural Frame Update (AMCA 2016). This universe was defined from the 34 products of national interest selected for the survey, 29 of which are annual and perennial crops and the rest corresponds to livestock species and products of economic importance for the country.
The crops that were the subject of the survey were: white grain corn, yellow grain corn, sugar cane, wheat grain, avocado, sorghum grain, beans, chili, alfalfa, tomato, melon, watermelon, coffee, orange, grape, banana, lemon, mango, onion, squash, cotton, apple, cocoa, rice, barley, soy, forage corn, forage sorghum and strawberry; while the species and livestock products were made up of: cattle, pigs, poultry, milk and eggs.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics, Geography and Informatics | Government of Mexico |
| Name | Affiliation |
|---|---|
| General Directorate of Economic Statistics | Government of Mexico |
| Deputy General Directorate of Economic and Agricultural Censuses | Government of Mexico |
| Name |
|---|
| National Institute of Statistic and Geography |
| Ministry of Agriculture, Livestock, Rural Development, Fisheries and Food |
Sampling
The sample design was characterized by stratified probabilistic sampling, with simple random selection within each stratum. Since the sampling units have a known and non-zero probability of being selected in the sample, the results of the sample are generalized to the entire population and it is possible to know the accuracy of the results.
For each product of interest, the production units of large producers and the production units that carry out the protected agriculture activity are included in the sample with certainty.
For products with probabilistic design, at both national and state levels, the sample size was calculated independently for each domain, taking a confidence level of 95%, a relative error of 10% and an expected non-response rate of 30% , by using the expression in stratified sampling to estimate a total.
The process of selecting the production units in each domain was simple randomized in each stratum. Under this selection scheme, the same production unit could be selected more than once due to having more than one product; in such a way that the design was covered with 101,828 production units.
The 21,944 production-product units with probabilistic design are contained in 21,729 production units, of which approximately 1% (208 units) have more than one product.
The sample had a bias of 12%, caused mainly by the following three reasons:
- The production units selected for some crops, at the time of the interview, were no longer engaged in any agricultural activity, mainly due to urban sprawl.
- At the time of the interview, the production units no longer had the crop for which they were selected.
- The informant of the production unit, could not be located.
Since the agricultural products were selected with a probabilistic design, the sample size is calculated independently for each domain. At a 95% confidence level, a relative error per domain between 2% and 5% and an expected non-response rate of 30% are considered.
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
| Start | End |
|---|---|
| 2017-10-02 | 2017-11-21 |
The reference period for the different agricultural activities covered in the survey are listed below:
a) Crop production: the agricultural year between the 1st of October 2016 and September 30, 2017 ,
b) Livestock production: the data are requested on two dates, March 31 and September 30, 2017 , in order to have an annual average.
c) Large poultry companies (broiler production and egg production): in these cases the reference period is from 1st of January to December 31, 2017.
d) Forest activity: the permits to perform the cutting of trees are given per calendar year, so the data collected correspond to the period of the 1st of January to December 31, 2017.
Data processing
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:
- Verification of the quality of information provided during capture/data collection
- Assigning codes/keys to variables to facilitate interpretation, processing and analysis
- Standardization of units of measurement
- Information monitoring to detect inconsistency and detection of extreme values
- Final data validation using an automatic validation system, pre-designed with over 200 validation criteria
- Group information analysis
- Comparison with internal and external sources
Data appraisal
In the organization of the field operation, three groups were formed: small and medium producers, large producers, and forest producers. According to the working groups, two recruitment strategies were used: a guided visit for agricultural producers and a call for forest producers.
The collection of information was carried out through a direct interview with the appropriate producers or informants, in order to confirm the location of their production units, obtain the data of the person in charge and the variables of interest.
A mobile computing device was used to capture the information in which a module with cartographic information was preloaded, as well as the questionnaire with questions related to agricultural or forestry activity.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
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." |
There is no access to microdata publicly or by agreement. However, INEGI provides several forms of access to microdata, as well as the descriptor file that provides the necessary information for the management of the databases, through the following link:
https://www.inegi.org.mx/ programs / ena / 2017 / default.html # Microdata
Source: INEGI National Agricultural Survey 2017.
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Contacts
| Name | URL | |
|---|---|---|
| Customer Service (INEGI) | [email protected] | https://www.inegi.org.mx/inegi/contacto.html |
Metadata production
DDI_MEX_2017_ENA_v01_EN_M_v01_A_OCS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Office of Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
| National Institute of Statistic and Geography | Metadata development | |
| General Directorate of Economic Statistics | Metadata development | |
| Deputy General Directorate of Economic and Agricultural Censuses | Metadata development | |
| Directorate of Census and Agricultural Surveys | Metadata development | |
| Coordination of Conceptual Design and Results | Metadata development | |
| Subdirectorate of Conceptual Design | Metadata development |
Metadata version
MEX_2017_ENA_v01_EN_M_v01_A_OCS_v01