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Saint Lucia_Demografic and social

Saint Lucia_Demografic and social

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Saint Lucia_Demografic and social

  1. 1. Regional Roundtable on World Programme for the Census of Agriculture 2020 Port of Spain, Trinidad and Tobago, 22-26 May 2017 - Demographic & Social Characteristics; - Intra-household Distribution Of Managerial Decisions & Ownership 1 Augustus Cadette / Sherma Beroo-Joseph Deputy Permanent Secretary / Statistician Ministry of Agriculture / Department of Statistics dps.agriculture@govt.lc shermab@stats.gov.lc
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  3. 3. Background 3
  4. 4.  LAST AGRICULTURAL CENSUS: 2007.  PREVIOUS AGRICULTURAL CENSUSES: 4 1946 1961 1973/7 4 1986 199 6
  5. 5.  LEGISLATION Statistical Act No. 13 of 1973 (Censual Decree); Establishing:  year of census taking,  the reference year,  the main objectives of the census,  the main data to be collected,  the coverage,  the office responsible for taking the census,  the official appointment of the National Census Advisory Committee and  the specific provisions of the Statistical Act 1973 applied to the census.  IMPLEMENTATION Ministry of Agriculture / CSO / National Census Advisory Committee;  BACKDROP No National Agri. Survey Program 5
  6. 6.  BANANA PRODUCTION (In Tonnes): 1966 - 2011 6
  7. 7. Coverage & Methodology 7
  8. 8. Scope:  ISIC  Group 011: Growing of crops; market gardening; horticulture.  Group 012: Farming of animals.  Group 013: Growing of crops combined with farming of animals (mixed farming) Variables:  Sixteen (16) Geographic Limits:  Island-wide, excluding 17000 acres of Forest Reserves. Enumeration:  Complete enumeration. Approach:  Classical Statistical Unit:  The Agricultural Holding 8
  9. 9. Censual Frame:  2001 Population and Housing Census;  Administrative Records;  Listing. Minimum Size Limits:  ≥ 1 8 acre of any temporary crop.  ≥ 10 bearing tree crops.  ≥ 100 mats of banana and/or plantain.  ≥ One head of cattle.  ≥ 2 pigs/goats/sheep or 1 head of any two.  ≥ 12 heads of poultry and/or rabbits. Enumeration Period:  January 22nd 2007 to March 15th 2007 Type of Enumeration:  Paper and Pen Interview (PAPI) 9
  10. 10. Time References:  2006 / Enumeration Day / Mean hrs. worked per day (previous 6 mths.) Linkages:  2001 Population and Housing Census ◦ Cartography ◦ Enumeration Districts ◦ Unique Identifier Framework:  WPA 2010 of the FAO No. of Questionnaires:  Censual Screening Form 6.2 Agriculture  Censual Questionnaire (CAF A) Quality Checks:  PES – Designed BUT not administered  Re-interviewed at random about 10 holdings per ED  Comparisons to 2001 Pop. & Housing Census & Other External Sources. 10
  11. 11. Variables  Identification and location of agricultural holdings;  Identification and legal status of agricultural holders;  Population and employment in agricultural holdings; Land on holdings:  Total land, land tenure and land use;  Number of trees by type of permanent/medium term crop;  Area under compact plantation of banana, plantain and coconut;  Number of holdings growing temporary crops by type of crop;  Type of forests in holdings and production of non-timber forest products;  Number of livestock by type;  Type of machinery and equipment;  Selected agricultural practices and facilities;  Farm organizations membership;  Proportion of household income coming from agriculture;  Sex and age of persons responsible for the different farming activities;  Whether or not other economic activities are carried out by members of the holder’s household and their type;  Whether or not remittances are received in the holder’s household. 11
  12. 12. Theme 8 Demographic & Social Characteristics 12
  13. 13. ID ITEM DESCRIPTION 2 0 0 7 2 0 2 0 COMMENTS 080 1 Household size by sex and age groups [Computed]   Assessing impact of agricultural shocks on various demographics. 080 2 Sex (for each household member)   Gender-Sensitivity in Agri. Policy, Planning & Programming. 080 3 Age (for each household member)   Child-Sensitivity in Agri. Policy, Planning & Programming 080 4 Relationship to household head or other reference person (for each household member) ×  Q.15 of CAF A may be modified to include this. 080 5 Marital status (for each household member) × × No compelling justification for St. Lucia at this time. 080 6 Educational attainment (for each household member) ×  Attracting better educated persons to agriculture 13
  14. 14. ITEM CHALLENGE 0801 Household size by sex and age groups [Computed] Obtaining reliable “age” information could be a bit challenging. 0802 Sex (for each household member) None 0803 Age (for each household member) Ibid 0801 0804 Relationship to household head or other reference person (for each household member) Poor understanding of “household head” concept yields inconsistent responses which can vary according to who the informant happens to be, making the concept meaningless. 0805 Marital status (for each household member) There is a challenge in ensuring the categories of responses are consistent with that of other data systems. 0806 Educational attainment (for each household member) None 14
  15. 15. Theme 10 Intra-household distribution of managerial decisions and ownership 15
  16. 16. 16 ID ITEM DESCRIPTION 2 0 0 7 2 0 2 0 COMMENTS 1001 Sex of household members making managerial decisions ×  Gender Analysis for improved programming, planning and policy; 1002 Area (and Type) of crops by sex of the person managing them ×  2007: “Type of Crops by Sex, and Age, of person managing them” is collected; but not Area. 1003 Number (and Type?) of livestock by sex of the person managing them ×  2007: “Type of Livestock by Sex, and Age, of person managing them” is collected; but not Number. 1004 Area of land owned by sex of the owner ×  Gender Analysis for improved programming, planning and policy; 1005 Number of livestock owned by sex of the owner ×  Gender Analysis for improved programming, planning and policy;
  17. 17. Challenges ITEM CHALLENGE 1001 Sex of household members making managerial decisions None 1002 Area (and Type) of crops by sex of the person managing them With multiple persons managing multiple areas; Unreliable perception of “Area”; Greater accuracy introduces cost. 1003 Number (and Type?) of livestock by sex of the person managing them None 1004 Area of land owned by sex of the owner None 1005 Number of livestock owned by sex of the owner None 1001 Sex of household members making managerial decisions None 17
  18. 18. Other Considerations  Perfect information about Marginal Cost of including an additional question; but imperfect information about the potential Marginal Benefit of so doing.  Sensitivity to cost is heightened by the fact that even when potential Marginal Benefit is much less opaque the low usage of the data reduces realized Marginal Benefit;  Use of common variable definitions and suitable categories/scales among data collection systems nationally could reduce the need to collect data which are already being collected. It also facilitates merging of data for more sophisticated analysis;  However it requires a level of national institutional collaboration that has to date proven difficult to muster.  Adoption of CAPI. 18
  19. 19. Policy Linkages & Obligations 19  Multidimensional Poverty Measurement  CEDAW  CRC  Rural Livelihoods  Diversification  Youth In Agriculture
  20. 20. Thank you 1

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