A Simple Poverty Scorecard for the Philippines

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Figure 2: Sample sizes and household poverty rates by sub-sample and povertyline% with income below a poverty lineInternationalNational USAID 2005 PPP1993 PPPSub-sample Year Households National Food 'Extreme' $1.25/day $2.50/day $3.75/day $5.00/day $4.32/dayAll Philippines 2004 42,789 31.4 15.4 14.2 18.2 47.5 65.2 75.5 43.52002 38,014 31.8 17.5 14.8 19.4 49.5 66.7 76.7 45.5ConstructionSelecting indicators and weights 2004 14,321 31.3 15.3 14.2 18.1 47.2 65.1 75.1 43.2CalibrationAssociating scores with likelihoods 2004 14,372 31.3 15.3 14.0 18.2 47.3 65.0 75.2 43.3ValidationMeasuring accuracy 2004 14,096 31.7 15.5 14.5 18.1 47.9 65.7 76.0 43.9Change in poverty rate (percentage points)From construction/calibration to validation in 2004 –0.4 –0.3 –0.4 +0.0 –0.7 –0.6 –0.9 –0.6From 2004 to 2002, all Philippines –0.4 –2.1 –0.6 –1.3 –2.1 –1.4 –1.2 –2.0Source: 2002 and 2004 APIS. Poverty rates at the household level.57
Figure 3: Poverty indicators by uncertainty coefficientUncertaintycoefficientIndicator (Answers ordered starting with those most strongly indicative of poverty)1764 How many telephones (landline and cellular) does the family own? (None or no data; One; Two or more)1573 Does the family own any cellular telephones? (No; Yes)1537 How many television sets does the family own? (None; One; Two or more)1529 Does the family own a refrigerator? (No; Yes)1316 Is there any electricity in the building/house? (No; Yes)What is the main source of water supply for the family? (Spring, river, stream, dug well, rain, shared-use from a1316 tubed/piped well, or shared-use faucet from a community water system; Own-use from a tubed/piped well, ownusefaucet from a community water system, peddler, or others)1316 What kind of toilet facility does the family have? (None, open pit, closed pit, or other; water sealed)1279 Does the family own a washing machine (No; Yes)What kind of business/industry does the male head/spouse engage in? (Agriculture, fishing, or forestry;1205 Construction; Manufacturing, wholesale and retail trade, and all others, including no male head/spouse;Community, social, and personal services)What is the education level of the male head/spouse? (Did not complete any grade or only completed1175 kindergarten/prep/nursery; Elementary grades one to five; Elementary grade six to secondary graduate; Allothers, including no male head/spouse; One or more years of post-secondary)1130 Does the family own any CD/VCD/DVD players? (No; Yes)1114 Does the family own any sala sets? (No; Yes)1100 How many family members are of ages 0 to 15? (Five or more; Four; Three; Two; One; None)1094 How many family members are of ages 0 to 16? (Five or more; Four; Three; Two; One or none)1093 How many family members are of ages 0 to 14? (Five or more; Four; Three; Two; One; None)1082 How many family members are of ages 0 to 17? (Five or more; Four; Three; Two; One or none)1082 How many family members are of ages 0 to 18? (Five or more; Four; Three; Two; One or none)1061 What are the house’s outer walls made of? (Light materials (cogon, nipa, or sawali, bamboo, anahaw); Strongmaterials (iron, aluminum, tile, concrete, brick, stone, wood, or asbestos))58
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A Simple Poverty Scorecard for the
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comparable across organizations nor
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Poverty scoring can also be used fo
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points or less for estimates of cha
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counted as if it had only one perso
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derived from the 2000 FIES by the N
Page 13 and 14: Given this, the USD1.25/day 2005 PP
Page 15 and 16: Reyes builds a scorecard using the
Page 17 and 18: that quickly show how estimated pov
Page 19 and 20: 3.3 Gwatkin et al.Gwatkin et al. (2
Page 21 and 22: includes income, the PCA index cann
Page 23 and 24: One of these one-indicator scorecar
Page 25 and 26: The scorecard in Figure 1 is ready
Page 27 and 28: If not determined by other factors,
Page 29 and 30: 6.1 Calibrating scores with poverty
Page 31 and 32: 6.2 Accuracy of estimates of househ
Page 33 and 34: The 90-percent confidence interval
Page 35 and 36: 7. Estimates of a group’s poverty
Page 37 and 38: To derive a sample-size formula (or
Page 39 and 40: 21.64n = 0. 55 ⋅⎛ ⎞⎜ ⎟
Page 41 and 42: 8. Estimates of changes in group po
Page 43 and 44: 2002 in the Philippines is the diff
Page 45 and 46: from 0.63 to 0.77 (Figure 10), sugg
Page 47 and 48: To illustrate the use of (8), suppo
Page 49 and 50: the four possible targeting outcome
Page 51 and 52: As an alternative to assigning bene
Page 53 and 54: at a point in time is always less t
Page 55 and 56: ReferencesAdams, N.M.; and D.J. Han
Page 57 and 58: Hentschel, Jesko; Lanjouw, Jean Ols
Page 59 and 60: Onwujekwe, Obinna; Hanson, Kara; an
Page 61 and 62: Stillwell, William G.; Barron, F. H
Page 63: Figure 1: A simple poverty scorecar
Page 67 and 68: Figure 3 (cont.): Poverty indicator
Page 69 and 70: National Poverty Line Tables(and Ta
Page 71 and 72: Figure 5 (National poverty line): D
Page 73 and 74: Figure 7 (National poverty line): B
Page 75 and 76: Figure 9 (National poverty line): D
Page 77 and 78: Figure 11 (All poverty lines): Poss
Page 79 and 80: Figure 13 (National poverty line):
Page 81 and 82: Figure 4 (National food poverty lin
Page 83 and 84: Figure 7 (National food poverty lin
Page 85 and 86: Figure 12 (National food poverty li
Page 87 and 88: USAID “Extreme” Poverty Line Ta
Page 89 and 90: Figure 5 (USAID “Extreme” pover
Page 91 and 92: Figure 9 (USAID “Extreme” pover
Page 93 and 94: Figure 13 (USAID “Extreme” pove
Page 95 and 96: Figure 4 (USD1.25/day 2005 PPP line
Page 99 and 100: Figure 12 (USD1.25/day 2005 PPP lin
Page 101 and 102: USD2.50/Day 2005 PPP Poverty Line T
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USD5.00/Day 2005 PPP Poverty Line T
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Figure 5 (USD5.00/day 2005 PPP line
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Figure 13 (USD5.00/day 2005 PPP lin
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National Poverty Line Tablesfor 200
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Figure 9 (National line): Differenc
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Figure 13 (National line): For a gi
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Figure 7 (Food line): Bootstrapped
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Figure 12 (Food line): Households b
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USAID “Extreme” Poverty Line Ta
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Figure 9 (USAID “extreme” line)
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Figure 13 (USAID “extreme” line
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USD2.50/day 2005 PPP Poverty Line T
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USD5.00/day 2005 PPP Poverty Line T
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Poverty Lines and Poverty Rates,by
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Figure A2: All-urban Philippines an
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Figure A4: Agusan del Norte, povert
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Figure A6: Aklan, poverty lines and
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Figure A8: Antique, poverty lines a
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Figure A10: Bataan, poverty lines a
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Figure A12: Batangas, poverty lines
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Figure A14: Bohol, poverty lines an
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Figure A16: Bulacan, poverty lines
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Figure A18: Camarines Norte, povert
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Figure A20: Camiguin, poverty lines
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Figure A22: Catanduanes, poverty li
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Figure A24: Cebu, poverty lines and
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Figure A26: Davao del Sur, poverty
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Figure A28: Eastern Samar, poverty
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Figure A30: Ilocos Norte, poverty l
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Figure A32: Iloilo, poverty lines a
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Figure A34: Kalinga, poverty lines
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Figure A36: Laguna, poverty lines a
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Figure A38: Lanao del Sur, poverty
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Figure A40: Maguindanao, poverty li
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Figure A42: Marinduque, poverty lin
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Figure A44: Misamis Occidental, pov
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Figure A46: Mountain Province, pove
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Figure A48: Negros Oriental, povert
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Figure A50: Northern Samar, poverty
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Figure A52: Nueva Vizcaya, poverty
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Figure A54: Oriental Mindoro, pover
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Figure A56: Pampanga, poverty lines
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Figure A58: Quezon, poverty lines a
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Figure A60: Rizal, poverty lines an
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Figure A62: Western Samar, poverty
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Figure A64: Sorsogon, poverty lines
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Figure A66: Southern Leyte, poverty
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Figure A68: Sulu, poverty lines and
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Figure A70: Surigao del Sur, povert
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Figure A72: Tawi-tawi, poverty line
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Figure A74: Zamboanga del Norte, po
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Figure A76: 2nd District, poverty l
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Figure A78: 4th District, poverty l
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Figure A80: Biliran, poverty lines
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Figure A82: Saranggani, poverty lin
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Figure A84: Compostela Valley, pove
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Figure A86: Shariff Kabunsuan, pove
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Figure A88: Isabela City, poverty l
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A Simple Poverty Scorecard for the Philippines

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