2013.05.08.cpp.sess4.3.poverty.reduction.philippines

Official Poverty Statistics

and Poverty Reduction Programs

of the Philippines

Ms. Bernadette B. Balamban

Chief, Social Sectors Division, National Statistical Coordination Board (NSCB)

Ms. Mildred B. Addawe Statistical Coordination Officer V, Social Sectors Division, NSCB

Ms. Mary Grace G. Darunday Budget and Management Specialist II, Department of Budget and Management (DBM)

International Conference Workshop on Poverty and Inequality in Asia 7-9 May 2013, Bali, Indonesia

The views expressed in this presentation are the views of the author and do not

necessarily reflect the views or policies of the Asian Development Bank Institute

(ADBI), the Asian Development Bank (ADB), its Board of Directors, or the

governments they represent. ADBI does not guarantee the accuracy of the data

included in this paper and accepts no responsibility for any consequences of their use.

Terminology used may not necessarily be consistent with ADB official terms.

Outline of Presentation

I. Overview of the Philippines Official Poverty

Statistics

II. Official Poverty Estimation Methodology

III. Latest Poverty and Inequality Statistics

IV. Efforts on Improving Relevance of Official

Poverty Statistics

V. Challenges to the Philippine Statistical System

VI. Poverty Reduction Programs

I. Overview of the Philippines Official Poverty Statistics

Executive Order 352

Designation of Statistical Activities that will Generate

Critical Data for Decision-making of the Government and the

Private Sector

Issued on July 1, 1996

National Statistics Office (NSO)

- Conduct of Family Income and Expenditure Survey

Technical Committee on Poverty Statistics (TC PovStat)

- in charge of the formulation/development of the official

poverty estimation methodology

National Statistical Coordination Board (NSCB)

- Mandated to generate and release the countrys official

poverty statistics

Legal Basis

3 Philippines Official Poverty Statistics

4

Who are the sources of data inputs?

Data needed Agency responsible

Provincial food bundles Food and Nutrition Research

Institute (FNRI)

Price data (e.g., actual

provincial prices of food items

and 2006-based regional CPI

for food)

Bureau of Agricultural Statistics

(BAS)


Income (of families/per capita)

from the Family Income and

Expenditure Survey (FIES)

NSO

II. Overview of the Philippines Official Poverty Statistics

FIES is being conducted every three years

NSO collects data in two visits:

Visit Reference Period Conduct of Survey

First First Semester

income/expenditure

(January-June)

July

Second Second Semester

(July-December)

January of the

succeeding year

How and when is the FIES collected?


Target sample households: nearly 51,000

Total number of pages of the questionnaire: 70 pages, 24 of which are devoted to income

Processing, extensive data quality checks

Prior to April 23, 2013, latest FIES results are for 2009 made available in January 2011; hence, latest official

provincial poverty statistics (i.e., subsistence/poverty

incidences and other measures of poverty) are also for

2009, which was released in February 2011.

Some information on the FIES


(Poor) Food Threshold (in pesos)

(Subsistence Poor, Food Poor, Extremely

Poor)

(Non Poor) Poverty Threshold (in pesos)

income

income income

Poverty

Incidence

Subsistence

Incidence

How does the NSCB generate official poverty statistics?


Actual Prices

100% RENI for energy

100% RENI for protein

80% RENI for vitamins

and minerals

PROVINCIAL food bundle

Farmgate Price

Food eaten

in the area

Retail Price

LEAST cost

Visualizable

FOOD THRESHOLD

National food bundle


Meal Time Viands

Breakfast Scrambled egg

Boiled rice

Coffee with milk

Lunch Boiled monggo with

malunggay and dried

dilis

Banana, latundan

Boiled rice

Dinner Fried tulingan

Boiled kangkong

Boiled rice

Snacks Pandesal

National reference food bundle from

the Test of Revealed

Preference

Meal Time Viands


Coffee with milk

Boiled rice/rice-corn mix

Lunch Boiled/ginataang monggo

with malunggay and dried

dilis

Banana

Boiled rice/corn mix

Dinner Fried fish/boiled pork

Vegetable dish


Snacks Bread or boiled rootcrop

Sample translation:

National Capital Region

9


Non-food threshold Food threshold

Constant FE/TBE ratio

POVERTY THRESHOLD

ACTUAL Non-Food Basic Needs

Education

Clothing & footwear

Medical care

Transportation & communication

Fuel, light & water

Housing



Housing maintenance & other minor repairs Non-durable furnishings Household operations Personal care & effects Rental of occupied dwelling unit

Monthly Food and Poverty Threshold for a Family of Five,

1st semesters of 2006, 2009, and 2012 (in PhP)

During the 1st semester of 2012, a Filipino family of five needed

PhP5,458 monthly income to buy their minimum basic food needs;

andPhp7,821 monthly to include other minimum basic nonfood needs

1st Semester

5,458

7,821

7,040

5,586 4,903

3,894


Subsistence and Poverty Incidence among Families (%),

1st semesters of 2006, 2009, and 2012

Poverty practically unchanged between

1st semester of 2006 and 1st semester of 2012

1st Semester

22.3

10.0


Subsistence and Poverty Incidence among Population

(%),

1st semesters of 2006, 2009, and 2012

1st Semester

On the average, 28 out of 100 Filipinos are living in

poverty between the 1st semester of 2006 and 1st semester

of 2012

27.9

13.4


During the 1st semester of 2012, on the average, a poor family

of five members needed a monthly additional income of

to move out of poverty or approximately .3% of the

poverty threshold.92.

Income gap 1st semester

2006 2009 2012

TOTAL COST OF ERADICATING POVERTY (in pesos)

29.3%

PhP 2,292

29.3 Income gap

79.7 B Among all poor families

for the entire 1st semester

2,292 For a poor family of five,

per month

50.7 B 63.1 B

1,681 2,042

30.1 29.0


Across the bottom 30% of families, incomes rose by an

average of 11.7 percent, which is practically the same as

inflation, between the 1st semesters of 2009 and 2012 .

Indicator 1st sem

2009

1st sem

2012 % Change

Inflation (all items) 116.1 130.1 12.06

Mean/average per capita income (APCI)

First decile class

4,356

4,840 11.1

Second decile class 6,883 7,685 11.7

Third decile class 8,902 9,984 12.2

11.7

Poverty Incidence (among families) 22.86 22.32 (0.54)

Annual Per Capita Poverty Threshold 8,448 9,385 11.09

All income groups 21,565 24,326 12.8

Fourth decile class 11,114 12,549 12.9

Fifth decile class 13,693 15,589 13.8

Sixth decile class 17,060 19,453 14.0

Seventh decile class 21,678 24,786 14.3

Eight decile class 28,736 32,741 13.9

Ninth decile class 41,660 47,551 14.1

Tenth decile class 98,123 107,612 9.7

First decile class

4,356 4,840

11.1

Second decile class 6,883 7,685 11.7

Third decile class 8,902 9,984 12.2

Consumer Price Index (CPI) (all

items) 116.1 130.1

11.7%

12.1%


During the 1st semesters of 2006, 2009, and 2012, the

bottom 20 percent of families have a share of about 6

percent of the total income in the country; whereas the

upper 20% have a share of nearly 50% of total income.

INCOME DECILE 1st sem

2006

1st sem

2009

1st sem

2012

PERCENTAGE POINT

CHANGE

1st sem 06-09 1st sem 09-12

FIRST

SECOND

NINTH

TENTH

FIRST TO THIRD 10.3 11.1 10.9 0.8 -0.2

0.2 0.0

0.3 -0.1 THIRD 4.3 4.6 4.5 0.3 -0.1

FOURTH TO

SEVENTH 28.5

28.8 28.9 0.3

0.1 FOURTH 5.2 5.4 5.4 0.2 0.0 FIFTH 6.2 6.3 6.4 0.1 0.1 SIXTH 7.6 7.7 7.7 0.1 0.0 SEVENTH 9.5 9.4 9.4 -0.1 0.0

EIGHTH TO TENTH 61.4 60.4 60.0 -1.0 -0.3 EIGHTH 12.1 11.9 12.0 -0.2 0.2

-0.4 -0.1

-0.3 -0.4

FIRST 2.5 2.7 2.7

SECOND 3.5 3.8 3.8

NINTH 16.6 16.1 16.0

TENTH 32.7 32.4 32.0

6%

50%


The total income of the top 20% of families is

approximately 8 times of the total income of the

bottom 20% of families in the first semesters of 2006,

2009, and 2012.


2006

1st sem

2009

1st sem

2012

PERCENTAGE POINT

CHANGE

1st sem 06-09 1st sem 09-12

Ratio of Top

20% over

Bottom 20%

8.21 7.44 7.50 -0.77 0.06

8 times


2006

1st sem

2009

1st sem

2012

PERCENTAGE POINT

CHANGE

1st sem 06-09 1st sem 09-12

Ratio of Top 30%

over Bottom 30%

5.97 5.45 5.50 -0.52 0.05

Ratio of Top 10%

over Bottom 10%

13.12 12.06 12.07 -1.05 0.01

Ratio of Top

20% over

Bottom 20%

8.21 7.44 7.50 -0.77 0.06

8 times




Year Gini coefficient

2003 0.4605

2006 0.4580

2009 0.4484

Gini coefficient based on the full year FIES

barely changed since 2003

Source: National Statistics Office

1. Small Area Estimates of Poverty

In response to the need for poverty statistics at lower levels of disaggregation, the NSCB, with funding

assistance from the World Bank implemented three

projects on small area estimation (SAE) to generate

poverty incidences at the city/municipal levels.

NSCB-WB Project Reference year of city/municipal level poverty estimates

Year Released

1. Poverty Mapping in the

Philippines

2000 2005

2. Intercensal Updating of Small

Area Poverty Estimates

2003 2008

3. Generation of the 2006 and 2009

Small Area Estimate of Poverty

2009 2012

2006 To be released in

June 2013


IV. Efforts on Improving Relevance of Poverty Statistics

1. Small Area Estimates of Poverty (cont.)

The Elbers, Lanjouw and Lanjouw (ELL) Methodology was

modified to generate intercensal City and Municipal level

Poverty Statistics

2007 Census of

Population and Housing

2009 Family Income and

Expenditure Survey

2009 Labor Force Survey

poverty estimates for 1,622 cities and municipalities of the country for 2009 were released in July 2012 by the NSCB.

2009 City and

Municipal Level

Poverty Statistics

based on SAE



1. Small Area Estimates of Poverty (cont.)



2. GIS-based Poverty Mapping based on available

Administrative Records

useful to local government units specially in locating priority areas and describing their conditions

initially produced poverty maps for the provinces of Laguna and Albay

started at producing poverty maps for the poorest provinces for the year 2003 (dependent on the availability of financial resources and on the data support from the local government units)

33 provincial poverty maps are currently covered by the NSCB Regional Divisions (present only in 9 of the 17 regions of the country)


Sample Map for Zamboanga del Norte

Provincial index

=100

Poverty Index (Malnutrition)

Zamboanga del Norte


Need to have more frequent poverty statistics to have

more timely interventions

With National Economic Development Authority

(NEDA), leading the inititative the DBM will fund the

2013 Annual Poverty Indicator Survey (APIS), that will

include an income module of the FIES

2013 APIS to be implemented in July 2013

The NSCB, in turn, shall generate corresponding poverty

estimates (at the national level), within one month after

the provision of the 2013 APIS data file.

3. Annual Estimates of Poverty


4. Communicating Philippine Poverty Statistics

4.1 One of the major areas of concern of the:

- Philippine Statistical Development Program 2011-

2017 (i.e., the Philippines 8th series of the NSDS) - Technical Committee on Poverty Statistics - NSCB Executive Board

4.2 Philippine Poverty Statistics Portal

- http://www.nscb.gov.ph/poverty/portal_/

- to serve as a one-stop web portal on information

and statistics on poverty

- to communicate official poverty statistics and other

related poverty indicators to a wider audience

4.3 Users/Producers Forums - Press Conferences

- National Convention on Statistics

- National Statistics Month



Communicating Poverty Statistics (cont.)

4.4 Web articles

- Beyond the Numbers by Dr. Jose Ramon G. Albert (http://www.nscb.gov.ph/beyondthenumbers/2012/10082012_jrg

a_ofw.asp)

- Statistically Speaking by Dr. Romulo A. Virola (http://www.nscb.gov.ph/headlines/StatsSpeak/default.asp_)

Presents viewpoints and perspectives of the members of the NSCB Technical Staff on statistical concerns

Seeks to assist the users by informing, enlightening, and guiding

- Sexy Statistics (http://www.nscb.gov.ph/sexystats/default.asp)

One of the efforts of the NSCBTechnical Staff (TS) to make our statistics sexy

Presents special tabulations and computations done by the NSCB TS not only in response to various data

requests of our stakeholders but also to present

statistics on current issues



Ensure independence and freedom from political affairs

Regular generation of small area estimates of poverty

a. Geographical (i.e., at the city, municipal,

congressional district levels)

b. Sectoral (PWDs, indigenous peoples)

Harmonization/standardization of existing statistical frameworks on poverty reduction statistics (e.g.,

official poverty statistics, National Household

Targeting System for Poverty Reduction (NHTS-PR),

community-based monitoring systems (CBMS),

among others) ;



Non-income indicators of poverty

Communicating official poverty statistics towards more actual policy uses;

Well-being/Happiness of the poor;

AND THE LIST GOES ON AND ON BUT (next

slide)



1. There is a need for statistical capacity building, specially of

the line agencies and local government units (LGUs)

Many LGUs do not have a statistical unit or statistical personnel; Low compensation scheme for statistical personnel; Non-statisticians doing statistical work.

2. Statistics must be demand-driven; policy makers must

translate statistics into actual/working programs and

policies

3. Statistical agencies must be relevant to stakeholders

4. There is a great need for more resources for statistics,

specially manpower.

TO AID THE PHILIPPINE STATISTICAL SYSTEM IN RESPONDING

TO THESE MANY DEMANDS/CHALLENGES:



Quality Education: Reduce classroom gap to zero in 2013 to support the K+12 Program

Major Program/Projects OutputsAmount (In

Million Pesos)

Basic Educational Facilities 25,268

a. Schoolbuilding Program for Areas

w/ Acute Classrooms Shortage 17,638 classrooms 14,110

b. Repair/Rehab of Classrooms 3,850 classrooms 1,155

c. Construction of Water &

/Sanitation Facilities 90,461 facilities 5,428

d. School Furniture Program 639,185 seats 575

e. PPP Amortization

9,301 classrooms

446,448 seats 4,000

Regular Schoolbuilding Program 1,000 classrooms 1,000


Quality Education: Close teacher and textbook gap by 2013 to support K+12 and install support mechanisms for basic education system

Major Program/Projects Outputs Amount (In Million Php)

Creation of Teaching Positions 61,510 teaching

positions 14,538

Creation of Non-Teaching Positions 3,500 non-teaching

positions

730

Procurement of Textbooks & Teachers' Manual

31.1M textbooks & teachers manual 1,493

GASTPE 1.0 million students 6,974 Universalization of Kindergarten Education 1,386,683 students 1,680 Provision for school operations 45,971 schools 196,948


Social Protection: Cover all indigent households in 4Ps b 2016; provide meaningful social protection packages


Million Pesos)

Pantawid Pamilyang Pilipino Program 3.8M Households 44,256

Supplemental Feeding

1.7M daycare

children 2,961

Social Protection for Indigent Senior

Filipino Citizens 232,868 SC 1,533

Self-Employment Assistance-

Kaunlaran (SEA-K) 128,355 Families 1,797

Kapit Bisig Laban sa Kahirapan -

Comprehensive and Integrated

Delivery of Social Services

3,404 barangays to

be assisted 650

Emergency Housing Assistance

Program for Calamity Victims

3,450

beneficiaries 621

Quick Response Fund 3,865

Calamity Fund 7,500


Universal Health Care : Covers all Q1 and Q2 households under universal health care by 2016; attain health related MDGs


Million Pesos)

National Health Insurance Program (NHIP) 5.2M Households 12,612

Health Facilities Enhancement Program (HFEP)

2,722 Facilities (Infrastructure

& Equipment) 13,558

Attaining the Health-Related MDGs

of which:

a. Doctors to the Barrios Program 270101 Medical Professionals 2,799

b. Expanded Program on Immunization (EPI) 2,683,380 children 1,950

c. TB Control 46,694 cases treated 1,021

d. National Pharmaceutical Policy Development 1,377 LGUs & 160 Hospitals 1,038

e. Elimination of Disease 570

f. Other Infectious Disease

w/ provision of ARV treatment

to 6,056 HIV infected people 321

g. Family Health and Responsible Parenting 2,539


Housing Program: Provide decent affordable housing to

informal settlers


Million Pesos)Regular Housing Programs 5,010

Resettlement Program 35,652 HHs 4,882

Settlements (Slum) Upgrading

Program 2,975 HHs 128 Special Housing Programs 15,742

Housing Resettlement for ISFs

Living in Danger Areas in Metro

Manila 20,000 HHs 10,120

AFP/PNP/BFP/BJMP/BuCor Housing 20,000 HHs 5,622

Community Mortgage Program 30,000 HHs 1,000


NSCB http://www.ncsb.gov.ph/

DBM http://www.dbm.gov.ph/

35

Maraming Salamat po!

Indicators

Official Statistics Difference

2003 2006 2009 03-06 06-09

Annual Per Capita Food Threshold

(Php)

7,577 9,257 11,686 21.6%

26.2%

Annual Per Capita Poverty Threshold

(Php)

10,976 13,348 16,841

Among families

Subsistence Incidence (%) 8.2 8.7 7.9 0.50 (0.80)

Magnitude of Food Poor (in million) 1.4 1.5 1.5

0.10 0.00

Poverty Incidence (%) 20.0 21.1 20.9 1.10 (0.20)

Magnitude of Poor (in million) 3.3 3.7 3.9 0.40 0.20

Among individuals


Magnitude of Food Poor (in million) 8.8 9.9 9.4

1.10 (0.50)

Poverty Incidence (%) 24.9 26.4 26.5 1.50 0.10

Magnitude of Poor (in million) 19.8 22.2 23.1 2.40 0.90 36 Philippines Official Poverty Statistics

III. Latest Poverty Statistics

. Poverty and the MDGs

As of 2009, the Philippines was eight years behind target on poverty

reduction!

Only 4 of the countrys 17 regions are ahead of their targets!

-8.4

5.0

0.5

-2.3

0.5

-3.8

3.2

-8.3-9.6

-5.6

-10.2

-14.1-12.0

-8.3

-4.0

-20.0

-15.0

-10.0

-5.0

0.0

5.0

10.0

Philip

pine

sNCR

CAR

Region

I

Region

II

Region

III

Region

IV-A

Region

IV-B

Region

V

Region

VI

Region

VII

Region

VIII

Region

X

Region

XI

Region

XII

Notes: Time-distance (years): positive (+) time lead (progress is ahead the path to target)

Negative ( - ) time lag (Progress is behind the path to target)

The time distance is a new generic statistical measure for analysis and visualization of time series data. This was first

developed by Prof. Pavle Sicherl of the University of Ljubljana, Slovenia.

Region IX, Caraga, and ARMM are 27, 21, and 81 years behind the target in 2009.



Indicators

1st Semester Official

Poverty Statistics

Difference

2006 2009 2012 06-09 09-12

Per Capita Food Threshold (Php) 4,673 5,883 6,549 26.0 11.1

Per Capita Poverty Threshold (Php) 6,703 8,448 9,385

Among families

Subsistence Incidence (%) 10.8 10.0 10.0 -0.8 -0.0

Poverty Incidence (%) 23.4 22.9 22.3 -0.5 -0.5

Among individuals

Subsistence Incidence (%) 14.2 13.3 13.4 -0.9 0.1

Poverty Incidence (%) 28.8 28.6 27.9 -0.2 -0.7




Executive Order 352

Designation of Statistical Activities that will Generate

Critical Data for Decision-making of the Government and the

Private Sector

Issued on July 1, 1996

Technical Committee on Poverty Statistics (TC PovStat)

- in charge of the formulation/development of the official

poverty estimation methodology

National Statistical Coordination Board (NSCB)

- Mandated to generate and release the countrys official

poverty statistics

Legal Basis



Institutional Arrangements in the Computation of

Poverty Statistics

Food and Nutrition Research Institute (FNRI) of the

Ministry of Science and Technology

- low-cost and nutritionally adequate provincial food

bundles

Bureau of Agricultural Statistics (BAS) of the Ministry of

Agriculture

- prices of agricultural commodities


- prices of agricultural and non-agricultural

commodities

- income and expenditures data (FIES)


Food thresholds and subsistence incidence (families/population)

Poverty thresholds and incidence (families/population)

Magnitude of poor and subsistence poor

Income and poverty gap, severity of poverty

OFFICIAL POVERTY STATISTICS/INDICATORS

Level of disaggregation

National, regional and provincial

Frequency

Thresholds: Annual FGT measures of poverty: Every three years (due to the

triennial conduct of the FIES)



Year Refinements Considerations

1987

1992 1st Refinements were made so as not to

overestimate poverty

2003 2nd Refinements were made to generate

provincial poverty statistics by using

regional menus priced using

provincial prices.

2010/2011 3rd Refinenements were undertaken to

enhance comparability of estimates

across space and over time.

History of the official poverty estimation methodology

The 1st official poverty estimation methodology was adopted

in 1987.

Between 1987-2011 (24 years), there were three refinements

on the methodology since its adoption.

II. Philippines Official Poverty Estimation

Methodology


Actual Prices

100% RENI for energy

100% RENI for protein

80% RENI for vitamins

and minerals

PROVINCIAL food bundle

Farmgate Price

Food eaten

in the area

Retail Price

LEAST cost Visualizable

FOOD THRESHOLD

If income/expenditure of family/individual

is less than food threshold

Provincial SUBSISTENCE INCIDENCE

and MAGNITUDE OF SUBSISTENCE POOR

National food bundle


Methodology


Meal Time Viands


Boiled rice

Coffee with milk

Lunch Boiled monggo with

malunggay and dried dilis

Banana, latundan

Boiled rice

Dinner Fried tulingan

Boiled kangkong

Boiled rice

Snacks Pandesal

National reference food bundle from

the Test of Revealed

Preference Meal Time Viands


Coffee with milk


Lunch Boiled/ginataang monggo with

malunggay and dried dilis

Banana

Boiled rice/corn mix

Dinner Fried fish/boiled pork

Vegetable dish


Snacks Bread or boiled rootcrop

Sample translation:

National Capital Region


Methodology


Non-food threshold Food threshold

Constant FE/TBE ratio

POVERTY THRESHOLD

If income/expenditure of family/individual

is less than poverty threshold

Provincial POVERTY INCIDENCE

and MAGNITUDE OF POOR

ACTUAL Non-Food Basic

Needs

Education

Clothing & footwear

Medical care

Transportation &

communication

Fuel, light & water

Housing

Housing maintenance &

other minor repairs

Non-durable furnishings

Household operations

Personal care & effects

Rental of occupied

dwelling unit


Methodology



Methodology

Family size Required income (in PhP)

Daily Monthly Annual

1 32 974 11,688

2 64 1,948 23,376

3 96 2,922 35,064

4 128 3,896 46,752

5 160 4,870 58,440

6 192 5,844 70,128

7 224 6,818 81,816

8 256 7,792 93,504

Food threshold:

In 2009, a family of five needed PhP 160 daily income to stay

out of food poverty! (or approximately 3.36USD)



Methodology

Family size Required income (in PhP)

Daily Monthly Annual

1 46 1,403 16,841

2 92 2,807 33,682

3 138 4,210 50,523

4 185 5,614 67,364

5 231 7,017 84,205

6 277 8,421 101,046

7 323 9,824 117,887

8 369 11,227 134,729

NATIONAL:

In 2009, a family of five needed PhP 231 daily income to stay

out of poverty! (or approximately 4.85USD)



Methodology

Indicators

Official Statistics Difference

2003 2006 2009 03-06 06-09

Among families


Magnitude of Food Poor (in

million)

1.4 1.5 1.5

0.10 0.00

Poverty Incidence (%) 20.0 21.1 20.9 1.10 (0.20)


Among individuals


Magnitude of Food Poor (in

million)

8.8 9.9 9.4

1.10 (0.50)

Poverty Incidence (%) 24.9 26.4 26.5 1.50 0.10


NATIONAL: Summary While food poverty and poverty deteriorated between 2003 and 2006, these improved between 2006 and 2009 except for the increases in the poverty incidence among population, magnitude

of poor families and magnitude of poor population.

The increases, however, were not as much as between 2003 and 2006!



Methodology

. Poverty and the MDGs

As of 2009, the Philippines was eight years behind target on poverty

reduction!

Only 4 of the countrys 17 regions are ahead of their targets!

-8.4

5.0

0.5

-2.3

0.5

-3.8

3.2

-8.3-9.6

-5.6

-10.2

-14.1-12.0

-8.3

-4.0

-20.0

-15.0

-10.0

-5.0

0.0

5.0

10.0

Philip

pine

sNCR

CAR

Region

I

Region

II

Region

III

Region

IV-A

Region

IV-B

Region

V

Region

VI

Region

VII

Region

VIII

Region

X

Region

XI

Region

XII

Notes: Time-distance (years): positive (+) time lead (progress is ahead the path to target)

Negative ( - ) time lag (Progress is behind the path to target)

The time distance is a new generic statistical measure for analysis and visualization of time series data. This was first

developed by Prof. Pavle Sicherl of the University of Ljubljana, Slovenia.

Region IX, Caraga, and ARMM are 27, 21, and 81 years behind the target in 2009.


1. Official Poverty Statistics for the Basic Sectors

NSCB Resolution No. 11, Series of 2007 provides for the official methodology for the estimation of poverty statistics

for the basic sectors.

The NSCB computes official poverty statistics for 9 of the 14 disadvantaged sectors of the Philippine Society:

1. Women;

2. Youth;

3. Children;

4. Senior citizens;

5. Individuals residing in urban areas;

6. Migrant and formal sector workers;

7. Self-employed and unpaid family workers;

8. Farmers; and

9. Fishermen.

Statistics available for 2003, 2006, and 2009.

III. Efforts on Improving Relevance of Philippine Poverty

Statistics


1. Official Poverty Statistics for the Basic Sectors (cont.)


Statistics

Variable Data source

1. Income Family Income and Expenditure Survey (FIES)

was used for classifying households as poor

or non-poor

2. Sectoral

characteristic of

the population

Labor Force Survey (LFS) was used to assign

household members into sectors

3. Total

population

Estimated total population of the sector

based on the FIES and LFS.

However, for years when the conduct of the

CPH and FIES coincide, data from the CPH will

be used (e.g., 2000) to estimate the total

population for four sectors, namely, women,

youth, children, and senior citizen.

Otherwise, data from LFS will be used.




Statistics

Fishermen, farmers, and children comprise the poorest

three sectors in 2009 with poverty incidences of 41.4%,

36.7%, and 35.1%, respectively.

41.4

36.7 35.1

25.1

21.8

16.7 15.8 12.8

0

5

10

15

20

25

30

35

40

45

Fishermen Farmers Children Women Youth Migrant and Formal Sector

Senior Citizens Individuals residing in

urban areas

Poverty Incidence by Basic Sector: 2003, 2006, and 2009

2003

2006

2009




Statistics

Children, women, and individuals residing in urban areas

accounted for the largest number of poor population at 12.4,

11.2, and 5.7 million, respectively in 2009.

Magnitude of poor population for all sectors increased between

the period 2006 and 2009 except for farmers and fishermen

sectors, which had a decrease.

12,400,000

11,200,000

5,709,170 5,367,308

3,118,701

1,685,148 1,181,121

346,345

0

2,000,000

4,000,000

6,000,000

8,000,000

10,000,000

12,000,000

14,000,000

Children Women Urban Youth Migrant and Formal Sector

Farmers Senior Citizens

Fishermen

Magnitude of Poor Among the Basic Sectors: 2003, 2006, and 2009

2003

2006

2009


Annual poverty incidences and other measures of poverty;

More timely official poverty statistics (i.e., regular generation of advance thresholds);

Regular generation of small area estimates of poverty

Geographical (i.e., at the city, municipal, congressional district levels)

Sectoral (PWDs, indigenous peoples)

Harmonization/standardization of existing statistical frameworks on poverty reduction statistics (e.g., official poverty statistics,

National Household Targeting System for Poverty Reduction

(NHTS-PR), community-based monitoring systems (CBMS), among

others) ;

Non-income indicators of poverty

Communicating official poverty statistics towards more actual policy uses;

Well-being/Happiness of the poor;

AND THE LIST GOES ON AND ON BUT (next slide)

IV. Challenges to the Philippine Statistical System


1. There is a need for statistical capacity building, specially of

the line agencies and local government units (LGUs)

Many LGUs do not have a statistical unit or statistical personnel; Low compensation scheme for statistical personnel; Non-statisticians doing statistical work.

2. Statistics must be demand-driven; policy makers must

translate statistics into actual/working programs and

policies

3. Statistical agencies must be relevant to stakeholders

4. There is a great need for more resources for statistics,

specially manpower.

TO AID THE PHILIPPINE STATISTICAL SYSTEM IN RESPONDING

TO THESE MANY DEMANDS/CHALLENGES:

IV. Challenges to the Philippine Statistical System


2013.05.08.cpp.sess4.3.poverty.reduction.philippines

Documents

latest poverty

measures of poverty

poverty statistics tc

poverty reduction programs

inequality statistics

adb official terms

critical data

expenditure survey fies