Agricultural and Forestry NMDIs – status report Gerald Haberkorn

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FAO-UNFPA-SPC Regional Training Workshop on Linking Population and Housing with Agricultural Censuses 28 May – 1 June, Noumea, New Caledonia Agricultural and Forestry NMDIs – status report Gerald Haberkorn Manager, Statistics for Development Programme Secretariat of the Pacific Community Noumea, New Caledonia [email protected] (www.spc.int/sdp )

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FAO-UNFPA-SPC Regional Training Workshop on Linking Population and Housing with Agricultural Censuses 28 May – 1 June, Noumea, New Caledonia. Agricultural and Forestry NMDIs – status report Gerald Haberkorn Manager, Statistics for Development Programme Secretariat of the Pacific Community - PowerPoint PPT Presentation

Transcript of Agricultural and Forestry NMDIs – status report Gerald Haberkorn

Page 1: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

FAO-UNFPA-SPC Regional Training Workshop on Linking Population and Housing with Agricultural Censuses28 May – 1 June, Noumea, New Caledonia

Agricultural and Forestry NMDIs – status report

Gerald HaberkornManager, Statistics for Development Programme Secretariat of the Pacific CommunityNoumea, New [email protected](www.spc.int/sdp)

Page 2: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

[1] Develop a core set of agricultural/forestry and fisheries indicators, undertake a data inventory (gap analysis) and NSS capacity assessment to collect the underlying statistics.

Stage 1: consultation with stakeholders

Key component of TYPPS, 2011 – 2020

Page 3: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

Agriculture and Forestry NMDIs1 INDICATOR 2 PURPOSE 3 IMPORTANCE OF

COLLECTING4 LINKAGE TO DEVELOPMENT PLANS / Policy Frameworks

5 DATA COLLECTION / REGULARITY

AF-1.1: Proportion of household income from agriculture and forestry activities (can disaggregate by income from subsistence and income from sales)

LRD works to strengthen the capacity of agriculture and forestry services to support the livelihoods of people working (paid or subsistence) in these sectors. This indicator measures the contribution of these sectors to livelihoods.

The level of income generated by these activities is a crucial measure of their contribution to people’s wellbeing.

MDG 1 (poverty and hunger)

National accounts (contribution to GDP; important to have data separate for Ag, Fish, For)

HIES (but not available frequently enough)

AF-1.2 Proportion of labour force engaged in AF activities (disaggregation by population groups, gender possible)

Measure of the contribution of the sector to employment in countries.

Agriculture and forestry are often described as the backbone of the rural economy. Need to confirm this with evidence and monitor changes particularly for young people.

MDG 1 (poverty and hunger)

Agriculture and forestry may be the only source of income (subsistence or cash) in certain locations

Census (but not available frequently enough)

HIES (but not available frequently enough)

Page 4: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

Agriculture and Forestry NMDIsCode Indicator

AF.1.1 Proportion of household income from agriculture and forestry activities (%)

Macro-economic overview

AF.1.2 Proportion of national GDP from agriculture and forestry (current prices)(%)

AF.1.3 Proportion of labour force engaged in agriculture and forestry activities as their main economic activity (%)

AF.1.4 Proportion of households engaged in agriculture and forestry as their main economic activity (%)

AF.1.5 Proportion of national budget allocation for agriculture and forestry (%)

AF.2.1 Proportion of total value of agriculture and forestry exports (%) Trade and food dependencyAF.2.2 Proportion of total value of agriculture and forestry imports (%)

AF.2.3 Annual change in latest food CPIAF.3.1 Arable land as a proportion of total land area (%) Land resourcesAF.3.2 Cultivated land as a proportion of total arable land area (%)AF.3.3 Area of forested land as proportion of total land area (%) (MDG 7.1)

AF.3.4 Annual rate of deforestation (%)

AF.4.1 Proportion of household food expenditure on locally grown or produced food

Nutrition

Page 5: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

[1] Develop a core set of agricultural/forestry and fisheries indicators, undertake a data inventory (gap analysis) and NSS capacity assessment to collect the underlying statistics.

• Stage 1: complete 13 core indicators developed for agriculture and forestry, and 19 for Fisheries, in consultation with key technical stakeholders

• Stage 2: work in progress Consultation with countries to validate identified/reported o Data valueso Data gaps

Key component of TYPPS, 2011 – 2020

Page 6: Agricultural and Forestry NMDIs – status report Gerald Haberkorn

Coverage across sectors

NMDI – coverage as of 31 May 2012

Indicator Theme Cooks Fiji FSM Kiribati MI Nauru Niue Palau PNG Samoa SI Tokelau Tonga Tuvalu Vanuatu Total

Population 92 100 96 84 96 80 96 92 92 100 100 80 96 96 100 93Agriculture and Forestry 31 85 54 23 23 23 23 23 31 31 77 15 77 23 77 41

Fisheries 79 79 79 79 74 79 89 89 89 84 84 5 84 84 89 78Health 94 91 89 96 87 93 74 78 94 91 100 83 89 91 100 90Gender 75 75 75 83 83 75 75 67 75 92 83 25 83 83 67 74Youth 86 71 86 86 86 100 71 71 100 86 100 57 86 86 100 85Culture 50 50 42 50 50 42 50 50 50 50 50 42 50 50 42 48Energy 0 0 0 0 60 0 60 0 0 60 60 0 60 60 0 24IT 100 22 56 94 89 100 94 89 39 89 22 0 44 22 67 62

Transport 16 8 20 20 20 20 20 12 12 20 20 4 20 20 20 17

70 60 64 69 69 68 67 63 66 72 69 42 67 65 71 65

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Coverage of AgFor indicators by countries

NMDI – coverage as of 31 May 2012

Indicator Name Cooks FSM Fiji Kiribati RMI Nauru Niue Palau PNG Samoa SI Tokelau Tonga Tuvalu Vanuatu

AF.1.1 Proportion of household income from agriculture and forestry activities (%) GAP GAP 15.8 GAP GAP GAP GAP GAP GAP GAP PEND GAP 13.3 GAP 54

AF.1.2Proportion of national GDP from

agriculture and forestry (current prices) (%)

GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP

AF.1.3Proportion of labour force engaged in

agriculture and forestry activities as their main economic activity (%)

NA WIP 1.9 WIP NA NA NA WIP NA 31 27 WIP 25.1 26 38

AF.1.4Proportion of households engaged in agriculture and forestry as their main

economic activity (%)Work in Progress

AF.1.5 Proportion of national budget allocation for agriculture and forestry (%) GAP GAP 3.1 GAP GAP GAP GAP GAP 1.5 1.65 2.47 GAP 2.52 GAP 3

AF.2.1 Proportion of total value of agriculture and forestry exports (%) GAP GAP PEND GAP GAP GAP GAP GAP GAP GAP PEND GAP PEND GAP PEND

AF.2.2 Proportion of total value of agriculture and forestry imports (%) GAP GAP PEND GAP GAP GAP GAP GAP GAP GAP PEND GAP PEND GAP PEND

AF.2.3 Annual change in latest food CPI GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP

AF.3.1 Arable land as a proportion of total land area (%) GAP GAP 13.7 GAP GAP GAP GAP GAP GAP GAP PEND GAP PEND GAP 41

AF.3.2 Cultivated land as a proportion of total arable land area (%) GAP GAP PEND GAP GAP GAP GAP GAP GAP GAP PEND GAP PEND GAP PEND

AF.3.3 Area of forested land as proportion of total land area (%) (MDG 7.1) 66.7 91.4 55.5 14.8 72.2 0 73.1 87 63.4 60.4 79.1 GAP 12.5 33.3 36.1

AF.3.4 Annual rate of deforestation (%) 0 0.04 0.34 0 0 NA -0.53 0 -0.49 0 -0.25 NA 0 0 0

AF.4.1 Proportion of household food expenditure on locally grown or produced food GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP

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NMDI – coverage as of 31 May 2012Coverage of Fisheries indicators - comparisonIndicator Name Cooks FSM Fiji Kiribati RMI Nauru Niue Palau PNG Samoa SI Tokelau Tonga Tuvalu Vanuatu

F.1.1 People engaged in fisheries subsistence sector (as their full-time, or principal form of economic activity) NA 9,575 GAP NA NA 28 NA NA NA NA 5.3 GAP GAP NA 88

F.1.2 People working as artisanal fishers and fish farmers GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP NA

F.1.3People working in fisheries and aquaculture formal sector

(commercial/industrial fishing, canneries, tuna fleets, aquaculture enterprises)

NA GAP GAP GAP NA NA NA NA NA 1832 6 GAP NA 20.3 424

F.2.1.1 Coastal commercial fish catch by volume (t) 133 2,800 9,500 7,000 950 200 10 865 5,700 4,129 3,250 GAP 3,700 226 538

F.2.1.2 Coastal commercial fish catch by value ($US '000) 1,029 7,560 33,540 18,333 2,900 833 59 2,843 26,846 18,366 3,316 GAP 11,014 612 2,157

F.2.1.3 Coastal subsistence fish catch by volume (t) 267 9,800 17,400 13,700 2,800 450 140 1,250 30,000 4,495 15,000 GAP 2,800 989 2,830

F.2.1.4 Coastal subsistence fish catch by value ($US'000) 1,250 15,732 33,602 28,333 4,312 656 618 2,511 35,235 13,996 11,009 GAP 6,033 2,214 5,688

F.2.1.5 Offshore locally based catch by volume (t) 3,939 16,222 13,744 0 63,569 0 640 3,030 256,397 3,755 23,619 GAP 1,119 0 0

F.2.1.6 Offshore locally based catch by value ($US'000) 5,772 23,908 29,112 0 81,210 GAP 1,844 13,780 343,654 7,853 32,748 GAP 3,007 0 0

F.2.1.7 Offshore foreign based catch by volume (t) 0 143,315 492 163,215 12,727 69,236 0 1,464 327,471 25 98,023 GAP 0 35,541 12,858

F.2.1.8 Offshore foreign based catch by value ($US'000) 0 177,195 527 195,409 19,573 79,335 0 4,947 383,769 46 153,951 GAP 0 40,583 23,607

F.2.2 Contribution of Fisheries and Aquaculture to national economy (share of fishing and aquaculture in GDP %) 6 14 2 4 0 10 4 2 3 5 6 GAP 4 8 1

F.2.3.1 Total fisheries and aquaculture exports by volume (tonnes) GAP 7,837 28,282 1,300 GAP GAP 602 3,999 49,300 2,726 GAP GAP 2,433 GAP GAP

F.2.3.2 Total fisheries and aquaculture exports by value ($US '000) 4,116 12,301 69,411 2,102 18,022 0 NA NA 12,651 7,306 19,842 GAP 4,734 NA 1,155

F.2.4 Landings of tuna from commercial operations (locally based off-shore vessels (t)) 3,919 1,069 9,422 NA NA NA NA 2,331 256,397 3,519 23,619 GAP 861 NA NA

F.2.5 Total tuna catch by offshore foreign-based vessels (tonnes) GAP 135,478 492 GAP GAP 65,939 NA 1,201 311,877 GAP 93,356 GAP NA 33,848 9,891

F.3.1 Households involved in subsistence fishing activities 47 GAP 0 NA NA 48 NA NA 4.8 NA NA NA NA 66 40.7

F.3.2 Households involved in artisanal fishing activities including fish farms (frequency/catch/value of sales) GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP GAP

F.3.3 Per capita fish consumption (kg/year) 34.9 69.3 20.7 62.2 GAP 55.8 79.3 33.4 13 87.4 33 GAP 20.3 110.7 20.3

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Stage 3: proposed for 2nd half of 2012

• Replicate Tonga, Vanuatu, Solomon, Fiji approach in other countries• Provide national and key financial and technical stakeholders with

opportunity for final review/comments

NMDI – coverage as of 31 May 2012