This document summarizes Saint Lucia's 2007 agricultural census and plans for the 2020 census. It provides background on past censuses in Saint Lucia dating back to 1946. It describes the legislation, implementation, variables collected, coverage and methodology for the 2007 census. Specifics are given on land coverage, enumeration period, data collection approach, statistical units, and quality checks for the 2007 census. The document also discusses considerations and challenges for collecting additional demographic and intra-household data in the 2020 census, including on managerial decisions and asset ownership.

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

2. 2

3. Background
3

4.  LAST AGRICULTURAL CENSUS:
2007.
 PREVIOUS AGRICULTURAL
CENSUSES:
4
1946 1961
1973/7
4
1986
199
6

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.  BANANA PRODUCTION (In Tonnes):
1966 - 2011
6

7. Coverage
&
Methodology
7

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. 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. 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. 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. Theme 8
Demographic
&
Social Characteristics
12

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. 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. Theme 10
Intra-household
distribution
of
managerial decisions
and
ownership
15

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. 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
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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.
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19. Policy Linkages & Obligations
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 Multidimensional Poverty Measurement
 CEDAW
 CRC
 Rural Livelihoods
 Diversification
 Youth In Agriculture

20. Thank you
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