Transcript ОЦЕНКА СТАТИСТИКИ БЕДНОСТИ В АЗЕРБАЙДЖА

POVERTY MEASUREMENT AND
METODOLOGY OF HOUSEHOLD BUDGET
SURVEY IN AZERBAIJAN
Yashar PASHA
Demographical situation
Territory – 86,6 square km;
 Number of population – 9356500;
 Number of households – 1895941
 Average size of households – 4,7
 Population density – 96; (per 1 km2)
 urban population – 54 per cent;
 rural population – 46 per cent;
 men – 49 per cent;
 women – 51 per cent;
Population by age group:
 0-14 years – 26 per cent;
 15-64 years – 67 per cent;
 65 years and older – 7 per cent;

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Demographical situation

Per 1000 person of population:
births rate – 16;
deaths rate – 6;
natural increase – 10;
marriages – 8;
divorces – 1;
 Per 1000 of born:
infant mortality
children up to 12 months – 10
children up to 5 years – 15;
maternal mortality – 26
(for 10000 of born)
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Demographical situation
Literacy – 98.8%;
men – 99.5%;
women – 98.2%
 Life expectancy – 72.4 years
for men – 69.6 years
for women – 75.2 years
 Number of refugees&IDPs – 1 million
persons;
 Capital – Baku city
number of resident population
– 1 million 855 thousands persons

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Definition of poverty and social
exclusions adopted by the Council of
Europe in 1984:
“…poor are those persons, families and groups of
persons whose resources (material, cultural and
social) are so limited as to exclude them from the
minimum acceptable way of life in the state to
which they belong…”
Definition of poverty adopted in Azerbaijan in 2001:
“Poverty is an impossibility due to a lack of funds
to keep up to the living style inherent in a specific
society in a specific period of time”
Approaches to defining poverty criteria
Monetary
Non-monetary
Relative
Absolute
Income-based
Consumption-based
Objective
Subjective
Most researchers recognize that a combined use of
several different approaches is the most effective
way to measure such a complex and multifaceted
phenomenon as poverty.
Approaches to defining a poverty line for
international comparisons
monetary –
minimum funds
required for survival,
per day
consumption-based –
minimum dietary energy
intake or quantity of
microelements in daily
food consumption
relative criteria
structural – maximum
percentage of household
expenditures for food in
the total household
expenditures
deprivations
Sampling Procedure for HBS


Used territorially-random sampling
For sample uses three-stage probability sampling
with preliminary stratification. The population
census data were gathered using the following
administrative units: the population census
districts, supervisor site and enumerator unit.
The census districts are used as the primary
sampling units (PSUs), with the population
census supervisor areas as the secondary
sampling units (SSUs), and with households as
the ultimate sampling units
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Sampling Procedure for HBS

Data from the 2009 population
census had been entered and stored
by following structure: code of
districts and census district,
supervisor site, enumerator unit,
surname, name head of households,
number of person, full address and
mail index
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Sampling Procedure for HBS

The secondary sampling units were formed using
maps of the population census territories, the
population census data on number of households
living within each of these territories. Within each
primary sampling unit in rural areas selected at
the first stage, one secondary sampling unit per
interviewer was selected, using systematic
probability proportional to size sampling. In order
to spread out to a greater extent the sample
within each primary sampling unit of urban areas,
two secondary sampling units per interviewer
were selected using systematic probability
proportional to size sampling.
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Second stage sampling

As a rule the population census supervisors’
areas were used as the secondary sampling
units. Nevertheless some of population census
supervisors’ areas were too spread out. For such
territories each secondary sampling unit was
formed using the population census maps as a
amalgamation of some of population census
enumerator areas. Thus more compact secondary
sampling territories were created. The total
number of secondary sampling units formed
within 125 selected primary sampling units was
equal to 493
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Sampling of households

Selection of households for each interviewer is
carried out within sampled secondary units using
simple random sampling. Each interviewer every
week approaches 2 households for the 2 weeks’
diary period. Thus the number of sampled
households for each interviewer within one
quarter is equal to 26. 13 different weeks. Since
every household participates in the survey only
during a one-quarter period the annual sample
size for each interviewer is equal to 104
households.
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Starting from January of 2008 quarterly panel
survey
I quarter 4250 households
 II quarter 4250 households
 III quarter 4250 households
 IV quarter 4250 households
 In annual data base 4250 households and
18000 individuals
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Survey Questionnaires:
Questionnaire for main interview. (is filled in the
beginning of survey for every household);
 Expenses journal. (is filled by every household
during 2 weeks of a quarter);
 Quarter questionnaire of incomes and
expenses. (is filled at the end of survey for every
household by all persons involved).
 Instruction for a quarter questionnaire. (utilized
while a quarter questionnaire of incomes and
expenses is being filled);
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Received Results are Grouped:
By types of households
 By education, sex, age, employment, social
status of a household.s head
 By decile and quintil groups of population
 By level of income and expenses of families
with/without children

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Structure of average per capita incomes
Total income
100
Employment incomes
31.2
Self-employment incomes
22.6
Agricultural incomes
15.7
Rent incomes
1.5
Natural social transfers
0.4
Hardship allowances
10.1
Pensions
1.1
Property incomes
1.1
Other types of incomes
16.3
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Assessment of the total of monetary incomes
by quintil groups of population






I quintil 12.4 %
II quintil 16.0 %
III quintil 18.6 %
IV quintil 21.6 %
V quintil 31.4 %
The disparity between 10% of the most and
the least wealthy groups of population is 3.3
times
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Ration of Refugee and IDP childrens

8.3 % of refugees. children aged
between 12 months and 6 years are
considered as underfed.
 In this category children of 5 years have
the highest percentage of children with
insufficient weight,
boys . 10.7 %,
girls . 7.5 %
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Energy of Foodstuff
Total
Men
Women
Energy, kcal
2393
2378
2399
Including animal-origin
441
438
453
Proteins, grams
74
73
75
Including animal-origin
26
26
26
Fat, grams
64
63
67
Including animal-origin
35
34
35
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Poverty Level, 2012
Absolute poverty – 137 $
(consumers expenditure median)
 is based in the size of a minimum consumption
basket that includes 2400 kcal per day
 specific gravity of foodstuff in a minimum
consumption basket is equal to 59 %
 Relative poverty – 78 $
(60 % of consumers expenditure median per capita)
 defines poverty level in the poorest groups of
population

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Poverty line

The Law on living wage (minimum
consumption budget) was adopted by
Cabinet of the Ministers in 2005 according
to which per capita basket of goods per
year is calculated by normative-statistical
method as well as by able-bodied
population, pensioners, and children
under 15 years old.
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Poverty line and poverty level in 2001-2012 year
140
120
100
80
60
40
20
0
200120022003200420052006200720082009201020112012
Poverty line, AZN
Poverty level, in per cent
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Consumption Expenditure Structure
Total
Foodstuff
100
43,2
Alcohol and tobacco
0,5
Clothing and footwear
1,0
Rent, domestic gas, electric power, etc.
6,8
Furniture, current repairs, etc.
7,4
Healthcare
8,4
Transport
4,6
Communications
6,1
Recreation and culture
3,0
Education
4,1
Restaurants, café, etc.
1,9
Other goods and services
8,5
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Consumption of food products by main products groups,
annual, kg.
Bread and bakery products
Potatoes
Vegetables & market gardens
Meat and meat products
Fish and fishery
Milk and dairy products
Eggs, piece
Fruit and berries
Sugar and confectionery
Vegetable oil and margarine
144,3
63,1
98,5
33,5
7,1
294,4
155,0
74,8
31,7
9,9
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Chemical structure, calories of consumed foods, per
capita, per day.
Protein, gram
Animal protein, gram
Fat, gram
Animal fat, gram
Carbohydrate, gram
Animal carbohydrate,
gram
Kilocalories, kcal
Animal kilocalories, kcal
Total Urban Rural
75,0
71,9
78,4
25,8
24,5
27,2
66,5
66,1
67,0
37,3
36,8
37,9
460,2 428,2 496,5
5,4
4,1
6,9
2424,6 2399,7 2488,6
463,7
448,8
480,6
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Thanks!
www.stat.gov.az
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