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Vietnam: Issues of Inequality, Gender and Health - Short Paper

Volume 58 2003/2

2003 Population Vietnam: Issues of Inequality, Gender and Health - Short Paper

Income and Health Dynamics in Vietnam: Poverty Reduction, Increased Health Inequality

Thang Minh Nguyen  [*] Thang Minh Nguyen, Carolina Population Center, CB #8120 University Square, University of North Carolina, Chapel Hill, NC 27516-3997, U.S.A. Barry M. Popkin  [*]
For the last 15 years or so, the government of Vietnam, like that of China, has been engaged on a deliberate course to modernize its economy and emulate a capitalistic model of development. The result is a political system that continues to be directed by the communist party and a decentralized economy in which desired behaviour is promoted through a free market approach rather than through state planning or subsidies. The transformation of Vietnam’s economic and health care systems is well documented (General Statistical Office, 2000b; World Bank, 2000a; Do, 1999a; World Bank, 1993). An official study that focused on the inequality in education and health care was also conducted by the Asian Development Bank’s consultants using the Vietnam Living Standards Surveys (VLSSs) conducted in 1992-1993 and 1997-1998 (Bhushan et al., 2001). However, the previous studies gave little attention to the changes in inequality during Vietnam’s economic transformation. In addition, historical precedents to guide our understanding of the types of changes to expect are few (Do, 1999b).
Within a very short time period, many countries in Eastern Europe including the former Soviet Union were forced by restructuring (perestroika) to remove state subsidies, and adopt, at least partially, a capitalistic model of development. The few systematic studies done in these countries have shown enormous increases in income inequality and poverty, coupled with significant deteriorations in health and welfare for many segments of the population (Lokshin and Popkin, 1999; Mroz and Popkin, 1995). The sharp fall in adult male life expectancy in Russia is clearly the worst example of a negative impact on welfare.
The literature describing the health and welfare situation in China is less clear. China has one of the world’s fastest growing economies, with a relatively high annual average growth rate of 8.5% of real Gross Domestic Product per capita between 1978 and 1997 (International Monetary Fund, 1999). In less than a generation, China has achieved major advances in living standards for its 1.26 billion inhabitants. During the 1980s, improved economic performance led to significant poverty reduction, from 20% of the population below the poverty line, to less than 10% (World Bank, 2000b). Nevertheless, some of China’s western and south-central provinces face extensive poverty, in contrast to the eastern provinces, where economic deprivation appears far less widespread (World Bank, 1997).
The present study examines the inequality effects and trends associated with the Doi Moi transformation of the Socialist Republic of Vietnam’s economy, focusing on health care issues during the five-year period between the two Vietnam Living Standards Surveys (1993-1998). The Doi Moi resulted in achievements not only in the overall economic situation in Vietnam but in other areas including health, culture, and education. Three dramatic changes that affected the entire population, and especially the poor, are examined here: 1) the official introduction of private-sector participation in the provision of health and pharmaceutical services in 1987; 2) the introduction of user fees at public health facilities in 1989; and 3) the establishment of mandatory health insurance for workers in 1991.
 
I. Survey data
 
 
This study uses data from the two Vietnam Living Standards Surveys (VLSSs) within the framework of the World Bank’s Living Standard Measurement Surveys (LSMSs). These surveys were conducted by the General Statistical Office and are nationally representative in both urban and rural sectors (General Statistical Office, 2000a).
The 1992-1993 survey was conducted on 4,800 households in 240 rural villages and 60 urban blocks located in 150 communities across the country. The total sample size of the 1992-1993 VLSS was 23,839 individuals (General Statistical Office, 1994). The 1997-1998 survey was conducted on 6,002 households, of which 4,305 were followed up from the 1992-1993 survey; the total sample size was 28,509 individuals (General Statistical Office, 2000a). The analyses in this study use each survey as an independent cross-section.
Both of the VLSSs had multipurpose household and community components. Although the 1997-1998 survey contains more questions than the 1992-1993 survey, its organization is similar. The household component included questions on household composition, characteristics of the dwelling, education, health, labour force participation, fertility, participation in agriculture and fishery, household enterprises, income, credit, and household expenditures. The community component provided a wealth of information on the characteristics of the community, with detailed information on the operation and use of social services (particularly health and education providers), health insurance coverage, as well as more general information about services available in the community, the community’s physical and economic infrastructure, government health expenditures, and a complete list of costs.
 
II. Definitions
 
 
The terms poor and non-poor, expenditure quintiles, and poverty are used often in this paper. The definitions for these terms follow:
Poor is used to indicate households with total expenditures below the overall poverty line.
Non-poor is used to indicate households with total expenditures above the overall poverty line.
Expenditure quintiles: detailed data on food and non-food expenditures were collected from each household. These total expenditures divided by total family size are used to create the per capita measures used in the expenditure quintiles for each survey. Expenditure quintiles were formed by ranging five groups, each representing 20% of the households, in ascending order of total expenditures; quintile 1 is the poorest and quintile 5 the richest. In this study, the expenditure quintiles are used to show the trend of dependent variables from the poorest to the richest households.
Food poverty, overall poverty: the food poverty line was calculated on the basis of the cost of purchasing a minimum requirement of 2,100 calories per person per day for an adequate diet. Below this line, total household expenditures are insufficient to purchase the minimum requirement. To determine the overall poverty line (enough expenditure for food but not enough for normal living), an additional factor was included for non-food items. The overall inflation rate was used to calculate the poverty lines in 1997-1998 on the basis of the increase in prices (22.5%) from January 1993 to December 1998. In Vietnam, the food poverty line was approximately 750,000 Dong in 1993 and 1,287,000 in 1998. The overall poverty line was set at 1,160,000 Dong in 1993 and 1,790,000 in 1998. (At the time of the 1997-1998 survey, the exchange rate was US$1 = 12,000 Vietnam Dong).
 
III. Measurement of key parameters
 
 
The following key parameters from the two Vietnam Living Standards Surveys are examined in this study:
Infant Mortality Rate (IMR): infant mortality is a particularly sensitive health indicator. Infant deaths are relatively rare in Vietnam, and estimates of infant mortality for small populations have large random variation. Due to the small number of observations, the IMR has to be estimated by combining several years’ data based on self-reported birth histories. In this study, infant mortalities were directly estimated for five years prior to each survey. Because of the time lag between experiencing and reporting, especially for families with a large number of children, the data may not be completely reliable. Despite these problems, it should be possible to compare the IMR in the two VLSS surveys, since the same biases existed in both.
Body Mass Index (BMI): we use the Body Mass Index to examine maternal nutritional status, calculated as BMI = weight (in kg)/height squared (in m). Following international recommendations, we define underweight as BMI <18.5; and we define overweight/obese (combined category) as BMI >25 (International Obesity Task Force, 1997).
Nutritional status reference measures: we use the recent updates of the US National Center for Health Statistics (NCHS) references to weight-for-height measures and the current undernutrition cut-off for chronic malnutrition (Kuczmarski et al., 2000). In this paper, the results presented in Z-scores express the variable in terms of standard deviations from the mean value of the healthy population. Z-scores were calculated with the following formula:
where X is the value for an individual, M is the value of the mean for the healthy population, L is a transformation factor calculated from the raw data, and S is the standard deviation of the healthy population.
Total expenditures: we calculate total expenditures for each household from the detailed collection of purchases (e.g., food, clothing, housing, consumer durables) and services along with savings.
 
IV. Results
 
 
1. Household and individual changes
Economic changes
Vietnam has experienced dramatic economic growth. Since the 1990s, growth in gross domestic product (GDP) has averaged 8-9% a year; even during regional economic crises, the GDP continued to grow at over 4% per year. Evidence from numerous sources shows that poverty rates have dropped significantly, especially in the past ten years. The percentage of the population that is poor has decreased from an estimated 75% in the mid-1980s, to 58% in 1993, and to 37% in 1998 (Dollar and Litvack, 1998). This decline in poverty is among the fastest ever experienced in the world. Despite these successes, however, a significant proportion of the population remains poor.
Figure 1 shows the distribution of household expenditures per head in Vietnam. On average, households are consuming more, and many have moved out of poverty; yet there is growing inequality in the distribution of expenditure. In 1993 the bulk of the population’s expenditures were concentrated around 1,500,000 Dong per year. By 1998 the distribution was much less equal and less clustered, with the bulk of household expenditures being concentrated around 2,000,000 Dong per year.
Figure 1
Distribution of total household expenditures per capita, 1993 and 1998
IMGIMGDistribution of total household expenditures per c...IMGIMF
Source: 1992-1993 VLSS and 1997-1998 VLSS.
Even some of the non-poor slipped into poverty (Bhushan et al., 2001). Table 1 shows the distribution of households by poverty level in 1993 and 1998, and transitions between these dates. In 1993 more than half of the households were poor. By 1998 a third of the population was living below the poverty line, and more than 10% of non-poor households in 1993 had become poor.

Table 1
Transitions in and out of poverty from 1993 to 1998
IMGIMGNon-poor in 1998	Poor in 1998	Total	...IMGIMF
Non-poor in 1998 Poor in 1998 Total Non-poor in 1993 39.2% 4.7% 43.9% Poor in 1993 27.4% 28.7% 56.1% Total 66.6% 33.4% 100.0% Source: 1992-1993 VLSS and 1997-1998 VLSS. The computation is based on a panel of 4,305 households that were interviewed in both surveys.

Health status
The health care system in Vietnam is no longer a national tax-based system. The government basically manages the health care network, but the subsidization of health services is insufficient. As mentioned above, the health status of the majority of the Vietnamese people has improved substantially in recent years, but not for the poor (Pham et al., 2000). One result of the gap between rich and poor is inequity in the distribution of health status and services. Evidence from the Ministry of Health Household Surveys in 1995, 1996, 1997, and 1998 shows that the gap among income groups has increased. Despite economic growth, the conditions for Vietnamese people living in the relatively poor mountainous and remote areas have not improved as had been expected. The poor suffer a greater disease burden, have greater health needs, are less likely to seek health care services, and are less able to afford user fees. In 1996, 34 million poor people in Vietnam were unable to buy health insurance or to pay hospital fees. Use of hospital services is lower among people living in the mountainous area (3.4% of the population per year) than among those living in the delta area (25.9% of the population per year) (Do, 1999b; Ministry of Health, 1998). Although a number of health outcomes could be examined, the focus in this article is on selected major health status indicators such as infant mortality, malnutrition, and maternal nutrition.
Infant mortality is a particularly sensitive indicator of health since infants are greatly affected by many health factors including poor sanitary conditions, malnutrition, and lack of parental care. Concrete measures to reduce infant mortality will, in the long run, lead to better nutrition, education, and child health (Rosenzweig and Wolpin, 1982). Our analysis of the poor population shows that the infant mortality rate (IMR) was 34.4 per 1,000 births during the five years prior to the 1992-1993 survey and 33.6 per 1,000 during the five years prior to the 1997-1998 survey. The IMR values for the non-poor population were 39.4 and 24.5 per 1,000 births respectively. So although the reduction in infant mortality was real, it was substantially larger for the non-poor (14.9 points) than for the poor (0.8 points) Given the sensitivity of IMR to health, this trend is likely to be replicated throughout the general population, with the poor being more susceptible to illness and having a higher mortality rate.
Malnutrition: Nutrition has long been a concern in Vietnam. Improvement in nutritional status is lagging behind other health indicators despite the dramatic economic improvements. Our previous analysis (Nguyen M. Thang and Popkin, 2002) shows that poor nutritional health is explained by the inequalities in three key risk factor measurements: rural residence, low incomes, and ethnic minority status. Similarly, the 1997-1998 VLSS indicates that three factors account for the greater prevalence of stunting among children [1]: rural residence, household poverty, and membership of an ethnic minority group results respectively in 17.6%, 10.9%, and 14.1% more stunted children than among urban residents, non-poor households, and the majority Kinh populations. Despite the high malnutrition levels, the height of Vietnamese children improved for all expenditure groups between 1993 and 1998. The overall improvement in nutrition is a continuation of previous trends, since fewer children have stunted growth and nutrition levels are generally improving. The percentage of children who are stunted and severely stunted [2] has also fallen significantly, especially in better-off households; the poor also have fewer stunted children but not in the same proportion as the non-poor. Table 2 (columns 1 and 2) and Figure 2 present the reduction in the proportion of stunted and underweight children between the ages of 2 and 11 over a five-year period (1993-1998) by quintiles. During this period, the proportion of stunted children decreased by 12 percentage points among the poorest families and by 15.8 percentage points among the richest families.

Table 2
Level and changes in the malnutrition of children and women, by expenditure quintile
IMGIMGQuintile	Stunted children 2-11 years...IMGIMF
Quintile Stunted children 2-11 years old height/age < – 2 Z-score (%) Underweight children 2-11 years old weight/age < – 2 Z-score (%) Underweight in Body Mass Index, women 19-49 years old (%) Overweight in Body Mass Index, women 19-49 years old (%) (1) (2) (3) (4) 1992-1993 Quintile 1 72.5 73.1 34.7 1.1 Quintile 2 66.4 70.2 36.6 1.1 Quintile 3 60.9 66.9 38.3 1.6 Quintile 4 54.9 63.4 32.7 2.6 Quintile 5 40.0 49.7 28.0 6.5 1997-1998 Quintile 1 60.5 68.6 39.9 0.8 Quintile 2 52.1 63.4 35.2 2.0 Quintile 3 47.4 61.5 34.4 2.7 Quintile 4 40.4 55.6 31.6 5.0 Quintile 5 24.2 36.6 20.8 11.7 Change in percentage points Quintile 1 – 12.0 – 4.5 5.2 – 0.3 Quintile 2 – 14.3 – 6.8 – 1.4 0.9 Quintile 3 – 13.5 – 5.4 – 3.8 1.2 Quintile 4 – 14.5 – 7.8 – 1.1 2.4 Quintile 5 – 15.8 – 13.1 – 7.1 5.2 Relative change* Quintile 1 – 16.6 – 6.1 14.9 – 24.9 Quintile 2 – 21.5 – 9.7 – 3.7 85.6 Quintile 3 – 22.2 – 8.1 – 10.0 74.8 Quintile 4 – 26.4 – 12.3 – 3.5 94.4 Quintile 5 – 39.5 – 26.3 – 25.5 79.1 Source: 1992-1993 VLSS and 1997-1998 VLSS. * Relative change was calculated by dividing the 1998 value by the 1993 value and subtracting the result from 100%.

Figure 2
Change in the proportion of stunted and underweight children aged 2-11 classified by expenditure quintile, between 1993 and 1998 (percentage points)
IMGIMGChange in the proportion of stunted and underweigh...IMGIMF
Source: 1992-1993 VLSS and 1997-1998 VLSS.
The decline can be seen more clearly when the relative changes are examined, with the decline in the proportion of stunted children in the baseline (1992-1993 VLSS) ranging from 16.6 percentage points for the poorest to 39.5 percentage points for the richest families: a range of 22.9.
The relative changes are very similar for underweight status, with the decline in the proportion of underweight children in the baseline (1992-1993 VLSS) ranging from 6.1 percentage points for the poorest families to 26.3% for the richest families: a range of 20.2.
Maternal nutritional status: The Body Mass Index (BMI) is another important indicator of adults’ nutritional status and capacity to work. Table 2 (columns 3 and 4) and Figure 3 show the change distribution by expenditure quintile for the two VLSSs. The distribution of underweight in BMI among Vietnamese women aged 19-49 became substantially more inequitable between 1993 and 1998. Women in the poorest quintile experienced several factors of decrease in their nutritional status:
—In 1992-1993, the three lowest expenditure quintiles had almost the same average proportion underweight. In 1997-1998, the distribution data revealed that women in the poorest quintile experienced an increase in the percentage underweight, while the other expenditure quintiles showed some improvement. The decline was much greater for the fifth expenditure quintile than for the others.
—In contrast, levels of overweight in Vietnamese women aged 19-49 increased, and the largest changes were in the higher expenditure quintiles. Among the richest quintile in the 1992-1993 survey, 6.5% of women of childbearing age were overweight; by the 1997-1998 survey, the proportion had increased to 11.7%, while there was almost no change for the poorest group.
Figure 3
Change in the proportion of underweight and overweight women aged 19-49 classified by expenditure quintile, between 1993 and 1998 (percentage points)
IMGIMGChange in the proportion of underweight and overwe...IMGIMF
Source: 1992-1993 VLSS and 1997-1998 VLSS.
2. Community-level changes in health services
Health service availability
The quality of health services is of fundamental importance both to attract patients to health providers and to ensure that patients are able to recover their health. In the 1980s and early 1990s the quality of services declined, especially at Community Health Centres (CHCs), due to the lack of public subsidies and local health personnel (Gellert, 1995). By the 1990s, the quality of services available to the urban population had improved, since increased government spending and competition with private health providers led to more and better options for those unable to pay for quality. The community component of the 1997-1998 VLSS included detailed questions on the quality and services provided by the CHCs; lack of facilities and medications at CHCs were explicitly mentioned. These answers were incorporated in the individual files of members of the community. Table 3 documents the problems reported by leaders of the individual’s community, concerning the quality of local health facilities.

Table 3
Reported problems with local health care providers, by expenditure quintile
IMGIMGQuintile	1992-1993	1997-1998	Lack of...IMGIMF
Quintile 1992-1993 1997-1998 Lack of facilities (%) Lack of medications (%) Unclean (%) Lack of facilities (%) Lack of medications (%) Unclean (%) 1 (poorest) 67.6 37.7 34.3 85.3 60.6 13.3 2 69.4 32.0 35.9 84.3 47.9 18.4 3 72.4 28.9 37.9 84.3 44.8 17.1 4 74.7 28.8 40.1 81.6 44.8 14.2 5 (richest) 75.9 24.6 40.1 73.5 38.6 15.6 Total 71.7 30.8 37.5 82.1 47.3 15.7 Source: 1992-1993 VLSS and 1997-1998 VLSS. Note: Community variables were assigned to individuals when computing the proportions for the quintiles.

The private sector plays an important role in the provision of health services in Vietnam. Although private health providers operate throughout Vietnam, the private health sector is concentrated in areas with low poverty, as would be expected. The economic reforms introduced with Doi Moi have opened opportunities for earning income that have led to a higher standard of living for most of the population. The health sector was liberalized and resources were increasingly allocated through the market rather than through mandates. At the same time, the public providers at all levels were authorized to charge fees for services, and medications and health care became more expensive for everyone (Pham Ngoc Hung and Le Ngoc Trong, 1999; Nguyen Van Tuong et al., 1999).
Table 4 summarizes the percentage of average health expenditures that would be needed to receive the same quality of care across the population by quintile (in cost of visits to a health provider, divided by the per head non-food expenditure of the quintile). The cost of health care as a share of per head non-food expenditure has declined for all quintiles, and it appears that health care has become affordable for households in the first and second quintiles. For the poor, however, health care remains prohibitively expensive. Even one visit to a Community Health Centre or clinic is relatively costly as a percentage of expenditures (Nguyen Van Tuong et al., 1999; Bhushan et al., 2001), and the cost of a single hospital visit may be out of reach.

Table 4
Proportion of non-food expenditures that would be required for the same quality of health care, by expenditure quintile
IMGIMGService	Proportion of expenditures	1...IMGIMF
Service Proportion of expenditures 1992-1993 Quintile 1997-98 Quintile 1 (%) 2 (%) 3 (%) 4 (%) 5 (%) Total (%) 1 (%) 2 (%) 3 (%) 4 (%) 5 (%) Total (%) Hospital 73.0 43.7 29.7 18.8 7.0 17.8 44.4 26.7 19.0 12.3 4.7 12.3 Community Health Centre 21.2 12.7 8.6 5.5 2.1 5.2 4.7 2.8 2.0 1.3 0.5 1.3 Regional Clinic 27.7 16.6 11.3 7.1 2.7 6.8 7.9 4.7 3.4 2.2 0.8 2.2 Private Clinic 40.8 24.4 16.6 10.5 3.9 10.0 8.5 5.1 3.6 2.3 0.9 2.3 Source: 1992-1993 VLSS and 1997-1998 VLSS.

Health insurance
Health insurance is mandatory for workers in enterprises with ten or more employees and is available on a voluntary basis for others since 1991. By 1998, 76.8% of the mandatory plan target population (public sector workers) was enrolled; 5.3% of the non-mandatory plan target population (independent workers, farmers, and students) was enrolled, with students in the majority. In all, 14% of the entire population was enrolled in the Health Insurance Programme. Figure 4 shows the distribution of health insurance by expenditure quintile in the 1997-1998 VLSS. People in the higher expenditure quintiles tend to enrol in the Health Insurance Programme, including students. The disparity in insurance coverage is probably contributing to the growing disparity in hospital use between the poor and the non-poor.
Figure 4
Percentage of the population covered by health insurance, by expenditure quintile, in 1997-98
IMGIMGPercentage of the population covered by health ins...IMGIMF
Source: 1997-1998 VLSS.
Government health expenditures
In 1991 government expenditures on health care were very low. During the following decade, expenditures increased rapidly, at a real rate of 12-14% annually. Given the low starting point, however, the amount spent is still relatively small. General government expenditures in that period rose from 1% to 2% of GDP. Although the health system remains largely in public ownership (hospitals, staff, equipment, essential drugs), 84% of health financing (payment for health care) in 1993 was private. Estimates show that in 1998, 80.5% of total health expenditures originated from households — compared with 14% from the provincial and national government budgets. The remaining 5.5% came from commune budgets, health insurance, and foreign donors. For public sector providers, the contribution from user fees has actually declined as a proportion of total spending on health care (World Bank, 2000a). However, this may be the result of more and more private health spending directed at the private health sector, particularly for the purchase of pharmaceutical products. Figure 5 presents a benefit analysis of government spending on health care, using a modified Lorenz curve. The graph shows the percentage of government (including communes) spending on health care that accrues to each quintile, and thus the percentage of the total public subsidies that reach the poorest 20%, the poorest 40%, and so on. In a society where there is perfect equity in the distribution of subsidies, the Lorenz curve is a straight diagonal line. When poorer households receive proportionally more of the subsidies than the richer households, the Lorenz curve will be above and to the left of the diagonal line. Correspondingly, when richer households receive more, the Lorenz curve will fall below and to the right of the diagonal line. The distribution of subsidies becomes less equal the farther the actual line is from the diagonal line.
Figure 5
Lorenz curve of the distribution of public subsidies for health care, by quintile
IMGIMGLorenz curve of the distribution of public subsidi...IMGIMF
Source: 1992-1993 VLSS and 1997-1998 VLSS.
In Figure 5 the distance between the VLSS lines increases below and to the right of equity, indicating a higher proportional share for richer households In 1992-1993, government spending on health generally favoured the richer quintiles; by 1997-1998 this bias had increased slightly, and subsidies were even more inequitable. The poor tend to use Community Health Centres more than the non-poor; the non-poor tend to use hospitals more than the poor. While the distribution of visits to CHCs has been relatively stable in the 1990s, hospitalization (as measured by inpatient days) has become increasingly less equitable (Nguyen Van Tuong et al., 1999).
 
Conclusion
 
 
In the past decade, Vietnam has experienced major improvements in the living standards of its population. The poverty rate has declined; both poor and non-poor families have much higher living standards and increased expenditures. Between 1993 and 1998, health levels were higher than in the early 1980s.
This study finds a strong association between poverty and health levels that matches results from several earlier studies in Vietnam and from studies in numerous other countries around the world (Lokshin and Popkin, 1999). Equity in health care in part means that the poor can receive care not from pity or as a favour, but as a right. Equity also means fair treatment of both the rich and the poor by doctors, whose medical ethics commit them to assuming a high degree of responsibility. Without government intervention, the poor in Vietnam are likely to remain poor and will benefit little from the country’s increased economic growth, especially in their health care. To offset the ever-increasing inequities in the health sector, new policies need to be established.
Government subsidies, at least in some sub-sectors, are becoming more regressive and are being disproportionately appropriated by the non-poor. Due to the limited availability of government resources in Vietnam, significant contributions from households are essential to ensure provision of health services to all economic levels. Given these constraints, government policies need to be targeted so that the poor benefit more from investments and subsidies for health care.
This study provides evidence of the link between poverty and low health status. The poor may not be able to escape the vicious circle of poverty without targeted assistance. When access to health care declines, health usually declines — leading to reduced ability to work; thus, the poor become poorer and have even less access to health care than before.
This study provides an early warning that the benefits of Doi Moi are not being distributed equitably, and that groups belonging to higher economic quintiles are reaping more benefits, while the others are paying a greater cost. Improving the quality of health and health services for the poor must be the major thrust of the country’s future poverty reduction strategy.
 
BIBLIOGRAPHIE
 
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NOTES
 
[*]Carolina Population Center, University of North Carolina at Chapel Hill, U.S.A.
[1]A child is classified as stunted if it is less than 2 standard deviations below the mean height for age.
[2]A child is severely stunted if it is less than 3 standard deviations below the mean height for age.
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Carolina Population Center, University of North Carolina at...
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[1]
A child is classified as stunted if it is less than 2 stand...
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A child is severely stunted if it is less than 3 standard d...
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Distribution of total household expenditures per capita, 1993 and 1998
Change in the proportion of stunted and underweight children aged 2-11 classified by expenditure qu...
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Change in the proportion of underweight and overweight women aged 19-49 classified by expenditure q...
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Percentage of the population covered by health insurance, by expenditure quintile, in 1997-98
Lorenz curve of the distribution of public subsidies for health care, by quintile