Assessing household solid fuel use: multiple implications for the Millennium Development Goals.

OBJECTIVE: The World Health Organization is the agency responsible for reporting the Millennium Development Goal (MDG) indicator "percentage of population using solid fuels." In this article, we present the results of a comprehensive assessment of solid fuel use, conducted in 2005, and discuss the implications of our findings in the context of achieving the MDGs.

METHODS: For 93 countries, solid fuel use data were compiled from recent national censuses or household surveys. For the 36 countries where no data were available, the indicator was modeled. For 52 upper-middle or high-income countries, the indicator was assumed to be < 5%.

RESULTS: According to our assessment, 52% of the world's population uses solid fuels. This percentage varies widely between countries and regions, ranging from 77%, 74%, and 74% in Sub-Saharan Africa, Southeast Asia, and the Western Pacific Region, respectively, to 36% in the Eastern Mediterranean Region, 16% in Latin America and the Caribbean and in Central and Eastern Europe. In most industrialized countries, solid fuel use falls to the < 5% mark.

DISCUSSION: Although the "percentage of population using solid fuels" is classified as an indicator to measure progress towards MDG 7, reliance on traditional household energy practices has distinct implications for most of the MDGs, notably MDGs 4 and 5. There is an urgent need for development agendas to recognize the fundamental role that household energy plays in improving child and maternal health and fostering economic and social development.

KEY WORDS: child health, environment, indoor air pollution, maternal health, Millennium Development Goals, poverty, solid fuels. Environ Health Perspect 114:373-378 (2006). doi: 10.1289/ehp.8603 available via http://dx.doi.org/[Online 26 January 2006]

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In September 2000, the largest-ever gathering of heads of state at the United Nations in New York committed themselves in the Millennium Development Declaration (United Nations 2000) to making the right to development a reality for everyone by the year 2015. The objective of this declaration is to promote a comprehensive approach and a coordinated strategy, tackling many problems simultaneously across a broad front. All 191 member states of the United Nations affirmed that they would "... spare no effort to free our fellow men, women and children from the abject and dehumanizing conditions of extreme poverty, to which more than a billion of them are currently subjected." (United Nations 2000). To help track progress, a set of eight time-bound and measurable goals for combating poverty, hunger, disease, illiteracy, environmental degradation and discrimination against women were defined (United Nations 2005a):

* Goal 1, eradicate extreme poverty and hunger

* Goal 2, achieve universal primary education

* Goal 3, promote gender equality and empower women

* Goal 4, reduce child mortality

* Goal 5, improve maternal health

* Goal 6, combat HIV/AIDS, malaria and other diseases

* Goal 7, ensure environmental sustainability

* Goal 8, develop a global partnership for development.

Millennium Development Goal (MDG) 7 aims to ensure environmental sustainability, based on the notion that human survival and prosperity critically depend on the sensible use of natural resources and the protection of complex ecosystems. Yet this foundation of our existence is threatened by alarming rates of land degradation and a changing climate. Environmental degradation has disproportionate impacts on the poor, who often rely on the natural resources in their immediate surroundings for their day-to-day subsistence and livelihood.

Worldwide, 2.4 billion people continue to depend on biomass fuels (wood, dung, agricultural residues) to be able to meet their basic energy needs for cooking, boiling water, lighting and, depending on climatic conditions, space-heating [International Energy Agency (IEA) and Organisation for Economic Cooperation and Development (OECD) 2004]. The reliance on wood for fuel can put considerable pressure on forests, particularly in areas where biomass is scarce and the demand for wood outweighs natural regrowth. Depending on the environmental context, deforestation is a driving force for land degradation and desertification. During the 1990s, forest plantations rendered unproductive because of illegal cutting of wood for cooking use were a common sight in China and among the main driving forces for the establishment of the Chinese National Improved Stoves Programme (Energy Sector Management Assistance Programme 1996).

In addition, because biomass fuels are most commonly burnt in open fires or inefficient traditional stoves, a large percentage of the fuel energy is lost as products of incomplete combustion. These include potent greenhouse gases, such as carbon dioxide, methane, and nitrogen dioxide (Edwards et al. 2004; Smith et al. 2000b). In addition, coal use for cooking and heating is still widespread in some countries, China in particular. Consequently, the proportion of the population using solid fuels for cooking is one of the indicators reported to assess progress towards MDG 7.

The World Health Organization (WHO) is the agency responsible for reporting this indicator. In this article, we present the results of the first comprehensive assessment of household solid-fuel use on a country-by-country basis, and we argue that curbing indoor air pollution from solid fuels can make a substantial contribution to reducing child mortality (MDG 4) and improving maternal health (MDG 5). We also discuss the implications of our findings in the context of achieving the MDGs at large.

Methods

Country data on solid fuel use were estimated for 181 countries. Of these, 93 were compiled from various surveys. The data for 36 countries were modeled based on the proportion of people living in rural areas and the gross national income (GNI) for the year corresponding to the survey data. For 52 upper-middle or high-income countries with a GNI of > US$ 10,500 per capita in 2003, the proportion of population using solid fuels was assumed to be < 5%.

Indicator definition. The MDG indicator is defined as the "percentage of population using solid fuels" (United Nations 2005b). Solid fuels include coal, charcoal, wood, crops or other agricultural waste, dung, shrubs, grass, straw, and others (WHO 2005a).

Data sources. We compiled data on household solid fuel use from the most recent Demographic and Health Surveys (DHS 2004), the World Health Survey (WHS; WHO 2005b), national censuses, and other sources, such as the World Bank's Living Standards Measurement Study (LSMS) (World Bank 2006).

DHS surveys are nationally representative household surveys with large sample sizes, ranging from 5,000 to 30,000 households, depending on the size of the country. These surveys are conducted in > 70 countries and are typically repeated every 5 years. Since 1999, the core DHS survey questionnaire asks about the main fuel used for cooking (DHS 2004). The DHS contributed 16 data points to the 2005 assessment.

The WHS, a nationally representative survey with sample sizes of between 1,000 and 10,000 households, was carried out in 2003-2004, and 50 countries collected information on the main fuel used for cooking (WHO 2005b). The 49 WHS data points used in this assessment are early release data and final estimates may change from those repotted here.

Modeling. A statistical model was used to predict household solid fuel use for those countries where no data were available. This model was originally developed to obtain global and regional estimates of solid fuel use in the context of WHO's comparative risk assessment (CRA) (Smith et al. 2004; WHO 2002). Model parameters were defined by explaining data on household solid fuel use obtained from surveys. The model was then applied to countries for which no household solid fuel--use data were available.

The model was built using stepwise linear regression and testing a wide range of parameters. Missing values were replaced with mean values for each variable. The following variables were not significant: petroleum use per capita, adult female literacy, average annual growth rate, dummy variables for all WHO Regions (with the exception of the Eastern Mediterranean Region), electricity consumption per capita, fuel wood production, and traditional fuel use at the national level (vs. at the household level). The final model parameters were identified as a country's gross national income (GNI), percentage of the rural population, and location or nonlocation within the Eastern Mediterranean region.

An [R.sup.2] value of 0.78 suggests that the model performs reasonably well. With a beta coefficient of 0.891 [95% confidence interval (CI), 0.651-1.131), the percentage of the rural population appears to have the highest explanatory power, followed by GNI (-0.184; 95% CI, -0.237 to -0.131) and location within the Eastern Mediterranean region (-0.169; 95% CI, -0.280 to-0.058). The latter is likely to be important because several of the countries in this region have substantial oil and gas resources. We used SPSS, version 8.0 (SPSS, Chicago, IL, USA) and STATA 7.0 (StataCorp, College Station, TX, USA) for analyses. The model has been described in detail elsewhere (Mehta et al., in press; Smith et al. 2004).

Results

The resulting country data for percentage of population using solid fuels are listed in Table 1. These represent the most recent data available for all developing and industrializing countries, dating from 1990 to 2004. Data for industrialized countries, as well as years for individual countries, are available from the website of the United Nations Statistics Division (United Nations 2005b).

More than half of the world's population still uses solid fuels for cooking. Reliance on solid fuels varies widely between different world regions. In Sub-Saharan Africa, Southeast Asia, and the Western Pacific Region, the use of solid fuels prevails over cleaner fuel options, reaching 77%, 74%, and 74%, respectively. In the Eastern Mediterranean Region, traditional household energy practices are also significant, with 36% of the population using solid fuels for cooking. With only 16% prevalence, the use of solid fuels is less common in Latin America and the Caribbean and in Central and Eastern Europe.

Discussion

Trends and changes. Most national censuses, energy assessments, or household surveys have only recently integrated questions relating to solid fuel use. It is thus impossible to draw firm conclusions on trends in household energy use over the past decade.

We have, however, observed differences in the 2005 assessment (using data up to the year 2003) compared with the 2002 assessment of solid fuel use (using data up to the year 2000) (Smith et al. 2004). The 2002 assessment revealed that 57% of the world's population relied on solid fuels, whereas our recent estimates indicate that, globally, 52% of the population cook with solid fuels. In fact, the MDG indicator has seen a small decrease for most of the WHO epidemiologic subregions since the 2002 assessment (Smith et al. 2004) for example, from 73% to 70% in African countries with high child and adult mortality, 53% to 43% in countries of the Americas with high child and adult mortality, and 78% to 74% in countries of the Western Pacific Region with low child and high adult mortality. In selected countries and WHO regions, these changes may signal real improvements. In most cases, however, we believe that improvements in data availability and estimation methods are the main cause for the observed changes. The 2002 assessment (Smith et al. 2004) compiled data from surveys for only 52 countries, requiring the majority of data points to be modeled. In contrast, the 2005 assessment is based on survey data for 93 countries; therefore, solid fuel use was modeled for only 36 countries.

Implications for achieving MDGs 4 and 5. Three out of the eight MDGs directly address health (MDGs 4, 5, and 6). The widespread use of solid fuels to meet basic energy needs represents a major public health concern with important implications for MDGs 4 and 5.

Cooking and heating with solid fuels on open fires or traditional stoves in poorly ventilated indoor environments leads to high levels of indoor air pollution. Indoor air pollution comprises a variety of health-damaging pollutants including particles, carbon monoxide, nitrous oxides, sulfur oxides (mainly from coal), formaldehyde, and carcinogens, such as benzo[a]pyrene and benzene (Smith 1987). These pollutants mainly affect the lungs by causing inflammation, reduced ciliary clearance, and impaired immune response (Bruce et al. 2000). CO also results in systemic effects by reducing the oxygen-carrying capacity of the blood (Boy et al. 2002). Small particles, including particles with a diameter of [less than or equal to] 10 [micro]m ([PM.sub.10]), respirable particles ([PM.sub.3.5]), and particles with a diameter of [less than or equal to] 2.5 [micro]m ([PM.sub.2.5]), are able to penetrate deep into the lungs and appear to have the greatest health-damaging potential (Bruce et al., in press).

Studies from Asia, Africa, and the Americas have shown that indoor air pollution levels are extremely high in households that rely on biomass fuel or coal: for example, 24-hr mean levels for [PM.sub.10] in homes using biomass fuels range from 300 to 3,000 [micro]g/[m.sup.3] (WHO 2005c). By comparison, the U.S. Environmental Protection Agency (EPA) annual air pollution standard for [PM.sub.10] is 50 [micro]g/[m.sup.3] (U.S. EPA 1996). Thus, typical concentrations of indoor air pollutants exceed many times the generally accepted guideline limits for outdoor air pollution. Even in households using more fuel-efficient and less-polluting improved stoves, typical concentrations often exceed such guideline limits. For example, in a recent evaluation of the Chinese National Improved Stoves Programme, Simon et al. (2004) found [PM.sub.4] (the thoracic fraction of particulate matter) higher than the Chinese national indoor air standard of 150 [micro]g/[m.sup.3] for [PM.sub.10] in homes using improved biomass stoves; if their evaluation had measured [PM.sub.10], exceedance of the standard would have been even more pronounced. A person's exposure to indoor air pollution is determined by the concentration of pollutants in the indoor environment and by the amount of time spent in * this environment. Few studies have assessed personal exposure of women or children to small particles or CO, but Ezzari and Kammen (2001) found 24-hr exposures to [PM.sub.10] from cooking range from several hundred micrograms per cubic meter to > 1,000 [micro]g/[m.sup.3]. These findings imply that most of the 3.2 billion people using solid fuels for cooking (United Nations 2005b) are exposed to levels of indoor air pollution that exceed accepted guideline levels for outdoor air pollution on a daily basis with dramatic consequences for health.

Indoor air pollution has been associated with a wide range of health outcomes, and the evidence for these associations was classified as strong, moderate, or tentative in a recent systematic review (Smith et al. 2004). There is consistent evidence that exposure to indoor air pollution increases the risk of pneumonia and other acute lower respiratory infections (ALRIs) among children under 5 years of age (Bruce et al. 2000; Collings et al. 1990; de Francisco et al. 1993; Johnson and Aderele 1992; O'Dempsey et al. 1996; Pandey et al. 1989; Robin et al. 1996; Smith et al. 2000a), chronic obstructive pulmonary disease (COPD) (Dennis et al. 1996; Pandey 1984; Perez-Padilla et al. 1996), and lung cancer (in relation to coal use) among adults above 30 years of age (Dai et al. 1996; Liu et al. 1993; Wang et al. 1996; Wu-Williams et al. 1990). The evidence for a link with lung cancer from exposure to biomass smoke--and for a link with asthma, cataracts, and tuberculosis--was considered moderate. Given limited available studies to date, there is tentative evidence for an association between indoor air pollution and adverse pregnancy outcomes, in particular low birth weight, ischaemic heart disease, interstitial lung disease, and nasopharyngeal and laryngeal cancers.

The WHO, through the CRA, estimated the contribution of a range of risk factors to the global and regional burden of disease (WHO 2002). With respect to indoor air pollution, the assessment included only ALRI, COPD, and lung cancer (from coal use)--those health outcomes for which the evidence for indoor air pollution as a cause was classified as strong. Indoor air pollution was identified as the eighth most important risk factor and responsible for 2.7% of the global burden of disease. Globally, indoor air pollution from solid fuel use accounted for 1.6 million deaths and 39 million disability-adjusted life years (DALYs; a measure combining years of life lost due to disability and death) in the year 2000 (Smith et al. 2004). In developing countries with high-mortality, indoor air pollution was responsible for 3.7% of the overall disease burden, making it the most important risk factor after malnutrition, unsafe sex, and lack of safe water and adequate sanitation (WHO 2002).

The 2005 assessment indicates that global solid fuel use is slightly lower (52%) than estimated during the 2002 assessment (57%) (Smith et al. 2004) that formed the basis for estimating the burden of disease attributable to indoor air pollution from solid fuel use. However, when looking at absolute numbers that incorporate population growth, the differences between the 2002 and 2005 assessments become less substantial with 3.4 billion people in 2000 and 3.2 billion people in 2003 using solid fuels. This implies that the CRA may have slightly overestimated the global burden of disease caused by indoor air pollution-attributable ALRI, COPD, and lung cancer. On the other hand, the CRA followed a very conservative approach by including only those health outcomes for which the evidence was considered strong. We can expect that the global burden of disease caused by indoor air pollution will exceed the originally estimated 1.6 million deaths and 39 million DALYs as the evidence base for links between indoor air pollution and additional health outcomes (e.g., low birth weight, tuberculosis, and cataract) increases through new studies. For example, in a recent Nepalese study, Pokhrel et al. (2005) confirmed the findings of previous studies in identifying indoor air pollution as a risk factor for cataract.

MDG 4 strives to reduce mortality in children < 5 years of age. Globally, pneumonia represents the single most important cause of death in children under 5 years of age and is responsible for approximately 2 million deaths every year (WHO 2005d). Young children are often carried on their mother's back during cooking or kept close to the warm hearth. Consequently, children spend many hours breathing indoor air pollution during their first year of life, when their developing airways and immature immune systems make them particularly vulnerable to hazardous pollutants. In their meta-analysis, Smith et al. (2004) found a relative ALRI risk of 2.3 (95% CI, 1.9-2.7) among children exposed to indoor air pollution. Consequently, indoor air pollution is responsible for > 900,000 annual deaths (56% of all indoor air pollution-attributable deaths) due to ALRI in children < 5 years of age. As illustrated in Figure 1, these deaths are not equally distributed across the globe: More than one-third of all child deaths caused by indoor air pollution (i.e. 350,000 deaths) occur on the African continent, and another 374,000 occur in Southeast Asia (Smith et al. 2004; WHO 2005e).

[FIGURE 1 OMITTED]

Most users of solid fuels are poor and, especially in rural areas, are unlikely to live in the vicinity of primary health care facilities or hospitals; their ability in afford medical treatment and seek medical care for their sick children at an early stage is limited. Consequently, reducing pneumonia deaths through treatment may not reach the poorest of the poor. Even if a child is successfully treated for pneumonia, he or she will return to a home where high levels of indoor air pollution prevail in combination with other risk factors for pneumonia, such as overcrowding and an inadequate diet. In contrast, reducing exposure to indoor air pollution can reduce the risk of pneumonia for all children in the household on a long-term basis and thus make a significant contribution to reducing child morbidity and mortality.

Improvements in household energy practices, in particular, the use of improved stoves or the use of cleaner fuels, can bring about additional benefits to children's health. Exposure of the developing embryo to indoor air pollution may contribute to perinatal mortality and low birth weight, a major risk factor for a variety of diseases during childhood (Boy et al. 2002; Bruce et al. 2000; Mavlankar et al. 1991; Mishra et al. 2004, 2005). Improved access to household energy can facilitate boiling of water and thus help reduce the incidence of waterborne diseases (United Nations Millennium Project 2005); it can also increase the number of hot meals per day and thus improve food safety. Moreover, among infants and toddlers, open fires in the kitchen and kerosene lamps are a major cause of burns and scalds; as a result of children falling into open fires or knocking over pots of hot liquid or kerosene lamps (Courtright et al. 1993; Onuba and Udoidiok 1987).

MDG 5 aims to improve maternal health. In most societies, women are in charge of cooking and thus are more at risk of the health impacts of indoor air pollution than men. Women exposed to indoor smoke are 3.2 times (95% CI, 2.3-4.8) more likely to suffer from COPD, such as chronic bronchitis and emphysema, than women who cook and heat with electricity, gas, or other cleaner fuels. Indoor air pollution is responsible for 522,000 of the 1.3 million global deaths from COPD among women (independent of the effects of smoking). In contrast, only 171,000 of a total of 1.4 million COPD deaths among men are attributable to indoor air pollution exposure (Smith et al. 2004; WHO 2005e).

Tobacco smoking is the principal risk factor for lung cancer worldwide, but smoking rates among women in most developing countries tend to be very low. In China and some Central Asian countries, exposure to indoor air pollution from coal fires is associated with a 1.9-fold increased risk of lung cancer among women (95% CI, 1.1-3.5). With 9,000 annual deaths attributable to indoor air pollution due to lung cancer, bronchus cancer, and tracheal cancer among women, the Western Pacific Region is the most affected.

Curbing indoor air pollution can thus make an important contribution to improving respiratory health among women, in particular, among young mothers who, in many societies, tend to spend much time close to the warm hearth after giving birth. In Asia alone, > 460,000 deaths due to chronic respiratory disease among women could be prevented every year (Figure 2). Easier access to other fuels and higher fuel efficiency are likely to bring about additional health improvements in pregnant women and mothers. For example, some studies suggest that carrying heavy loads (e.g., biomass fuels) may be associated with an increased risk of prolapse (Pandey 1997).

[FIGURE 2 OMITTED]

Implications for achieving MDGs 1 and 3. Going beyond health, the fact that half of the world's population relies on solid fuels has many consequences for economic development.

MDG 1 to eradicate extreme poverty and hunger represents the essence of the Millennium Declaration and plays an overarching role for achieving the MDGs overall. The security of household livelihoods rests on the health of its members. Being ill as a result of exposure to indoor air pollution (MDG 5) or having to care for sick children (MDG 4) reduces earning capacities and leads to additional expenses for health care and medication.

One of the targets established to measure progress towards achieving MDG 1 is halving the proportion of the world's people living on < $1 (purchasing power parities)/day by 2015. Based on the strong link between income and access to energy services, whether at the global or national level, the IEA and OECD (2004) predicted that this goal can only be met if "governments act decisively to accelerate the transition to modern fuels and to break the vicious cycle of energy poverty and human underdevelopment in the world's poorest countries." More specifically, to achieve the poverty-reduction target, the number of people relying almost entirely on traditional biomass for cooking and heating must be reduced to < 1.85 billion. Yet, according to the IEA's reference scenario (IEA and OECD 2004), this number will increase from 2.40 billion in 2002 to 2.55 billion in 2015 and, even further, to 2.63 billion in 2030. Therefore, to accomplish the poverty-reduction target in the light of population growth, governments will need to extend the use of modern cooking and heating fuels to an additional 700 million people by 2015.

MDG 3 is dedicated to women. We have dicsussed the unequal impacts of exposure to indoor air pollution on women's health in relation to MDG 5, yet reliance on traditional cooking and heating practices has additional implications for female household members.

Women and children tend to be in charge of fuel collection in those areas where household energy needs are met through fuel collection rather than purchase. The Energy Sector Management Assistance Programme (2004) revealed that women cooks in rural India spend an average of 40 min/day on fuel collection in addition to an average 3 hr/day spent on cooking and serving food. Collection time varies depending on local fuel wood availability. A study in rural Malawi demonstrated that women, assisted by young girls, spent between 4 hr (short distance from woodland) and 15 hr (long distance from woodland) per week on fuel collection (Brouwer 1998). In rural India, daily fuel collection time ranged from only 20 min/day in Andhra Pradesh to more than 1 hr/day in Rajasthan, which is mostly covered by desert (Energy Sector Management Assistance Programme 2004). To date, there is no systematic quantitative assessment of injury (e.g., due to backache, broken bones, or snake bites) or assault endured during fuel collection, yet girls and women are at particular risk, even more so in war zones or refugee camps (Intermediate Technology Development Group 2004; United Nations High Commissioner for Refugees 2001).

Alleviating the drudgery of fuel collection far from home and reducing cooking time through more efficient devices can free women's time for productive endeavours (MDG 1), adult education, and child care, and will reduce the risk of assault and injury for women and girls. Moreover, involving women in household energy decisions contributes to promoting gender equality and empowering women. Owning a less-polluting stove can raise a woman's prestige, both as a sign of wealth and, indirectly, through a soot-free kitchen environment.

Outlook

What does the current indicator actually tell us? From an environmental point of view, widespread use of solid fuels could mistakenly be interpreted as a positive development, given that most biomass fuels--the major share of solid fuels--constitute a source of renewable energy. From a public health point of view, widespread use of solid fuels is, of course, interpreted as a negative development because of the health risks associated with indoor air pollution. Yet, solid fuel use is a poor proxy for indoor air pollution levels as the concentrations of small particles, CO, and other pollutants vary markedly between different types of solid fuels and between the same fuel being burnt in a traditional open fire versus in a well-maintained improved stove. In light of population growth and given the current lack of political commitment, it seems unlikely that the coming decade will witness a large reduction in solid furl use. In most of the developing world, improved stoves are likely to remain the most feasible and cost-effective intervention to reduce indoor air pollution in the short-term (Mehta and Shapar 2004), and the current indicator alone will not allow us to demonstrate such progress.

To improve accuracy in estimating health and other impacts and to provide a better basis for designing interventions, current limitations in the definition and reporting of the indicator should be overcome. To date, lack of comparable data on a country-by-country basis has prevented us from reporting household energy practices in more detail. Efforts are under way to improve regular data collection through international surveys, such as the DHS, the LSMS and UNICEF's Multiple Indicator Cluster Survey by integrating additional questions on type of cooking stove and kitchen characteristics within the harmonized questionnaires. Furthermore, given stark differences between urban and rural populations, we propose to disaggregate household energy practices according to place of residence.

By drawing on the classification of "the proportion of the population relying on solid fuels" as an indicator to measure progress towards achieving MDG 7, we have outlined how exposure to indoor air pollution from solid fuels has distinct implications for achieving MDG 4 to reduce child mortality and MDG 5 to improve maternal health. Moreover, overcoming energy poverty will play a key role in attaining MDG 1 to eradicate extreme poverty and hunger and MDG 3 to promote gender equality and empower women. Development agendas and partnerships must recognize the fundamental role that household energy plays in improving child and maternal health and in fostering economic and social development.

An important step in this direction is the recent report Investing in Development: A Practical Plan to Achieve the Millennium Development Goals (United Nations Millennium Project 2005). The report recommends that countries adopt the specific target to reduce the number of people without effective access to modern cooking fuels by 50% and make improved cookstoves widely available by 2015. Can this ambitious goal be achieved over the course of the coming decade? Success stories, such as the Chinese National Improved Cookstoves Programme and the Brazilian efforts to increase use of liquid petroleum gas and other modern fuels (Modi et al. 2005), indicate that rapid progress is possible. Yet, the world will need to embrace safe cooking fuels and other essential energy services as "... vital to enabling and facilitating the achievement of the Millennium Development Goals" (United Nations Millennium Project 2005). With a sense of urgency, we must act in concert to make the necessary policy changes and implement technical solutions that can improve the lives of > 3 billion fellow humans.

Received 23 August 2005; accepted 26 January 2006.

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Eva Rehfuess, (1) Sumi Mehta, (2) and Annette Pruss-Ustun (1)

(1) Department of Protection of the Human Environment, World Health Organization, Geneva, Switzerland; (2) Health Effects Institute, Boston, Massachusetts, USA

Address correspondence to E. Rehfuess, Department of Protection of the Human Environment, World Health Organization, 1211 Geneva 27, Switzerland. Telephone: [phone]. Fax: [phone]. E-mail. [e-mail]

We thank F. Gore (WHO) and D. Barnes (World Bank) for their essential contributions to compiling the most up-to-date data on solid fuel use. We also thank S. Chatterji and N. Naidoo (WHO), who provided us with preliminary World Health Survey data and assistance in analyzing them, and L. Tzala (Imperial College London) for her analysis of the World Health Survey solid fuel use data. We are grateful to them and to C. Corvalan (WHO) for comments on the draft article.

The views expressed in this article are those of the authors and do not necessarily reflect the position of the World Health Organization or the Health Effects Institute.

The authors declare they have no competing financial interests.

Table 1. Percentage of population using solid fuels,
by country and WHO region.

Region/country                               Percentage

Africa                                           77
  Algeria                                        <5
  Angola                                        >95
  Benin                                          95
  Botswana                                       65
  Burkina Faso                                  >95
  Burundi                                       >95
  Cameroon                                       83
  Cape Verde                                     36
  Central African Republic                      >95
  Chad                                          >95
  Comoros                                        76
  Congo                                          84
  Cote d'Ivoire                                  74
  Democratic Republic of the Congo              >95
  Equatorial Guinea                              ND
  Eritrea                                        80
  Ethiopia                                      >95
  Gabon                                          28
  Gambia                                        >95
  Ghana                                          88
  Guinea                                        >95
  Guinea-Bissau                                  95
  Kenya                                          81
  Lesotho                                        83
  Liberia                                        ND
  Madagascar                                    >95
  Malawi                                        >95
  Mali                                          >95
  Mauritania                                     65
  Mauritius                                      <5
  Mozambique                                     80
  Namibia                                        63
  Niger                                         >95
  Nigeria                                        67
  Rwanda                                        >95
  Sao Tome and Principe                          ND
  Senegal                                        41
  Seychelles                                     <5
  Sierra Leone                                   92
  South Africa                                   18
  Swaziland                                      68
  Togo                                           76
  United Republic of Tanzania                   >95
  Uganda                                        >95
  Zambia                                         85
  Zimbabwe                                       73

Latin America and the Caribbean                  16
  Antigua and Barbuda                            46
  Argentina                                      <5
  Bahamas                                        <5
  Barbados                                       <5
  Belize                                         43
  Bolivia                                        25
  Brazil                                         12
  Chile                                          <5
  Colombia                                       15
  Costa Rica                                     23
  Cuba                                           <5
  Dominican Republic                             14
  Ecuador                                        <5
  El Salvador                                    33
  Grenada                                        48
  Guatemala                                      62
  Guyana                                         59
  Haiti                                         >95
  Honduras                                       57
  Jamaica                                        45
  Mexico                                         12
  Nicaragua                                      58
  Panama                                         33
  Paraguay                                       58
  Peru                                           33
  Saint Kitts and Nevis                          <5
  Saint Lucia                                    63
  St Vincent and the Grenadines                  31
  Suriname                                       ND
  Trinidad and Tobago                             8
  Uruguay                                        <5
  Venezuela                                       5

Eastern Mediterranean                            36
  Afghanistan                                   >95
  Bahrain                                        <5
  Cyprus                                         <5
  Djibouti                                        6
  Egypt                                          <5
  Iran, Islamic Republic of                      <5
  Iraq                                           <5
  Jordan                                         <5
  Kuwait                                         <5
  Lebanon                                        <5
  Libyan Arab Jamahiriya                         <5
  Morocco                                         5
  Oman                                           <5
  Pakistan                                       72
  Qatar                                          <5
  Saudi Arabia                                   <5
  Somalia                                        ND
  Sudan                                         >95
  Syrian Arab Republic                           32
  Tunisia                                         5
  United Arab Emirates                           <5
  Yemen                                          42

Central and Eastern Europe                       16
  Albania                                        50
  Armenia                                        26
  Azerbaijan                                     49
  Belarus                                        19
  Bosnia and Herzegovina                         51
  Bulgaria                                       17
  Estonia                                        15
  Georgia                                        42
  Hungary                                        <5
  Kazakhstan                                      5
  Kyrgyzstan                                     76
  Latvia                                         10
  Lithuania                                      <5
  Poland                                         <5
  Republic of Moldova                            63
  Romania                                        23
  Serbia and Montenegro                          ND
  Slovakia                                       <5
  Tajikistan                                     75
  TFYR of Macedonia                              30
  Turkey                                         11
  Turkmenistan                                   <5
  Ukraine                                         6
  Uzbekistan                                     72
  Russian Federation                              7

Southeast Asia                                   74
  Indonesia                                      72
  Sri Lanka                                      67
  Thailand                                       72
  Bangladesh                                     88
  Bhutan                                         ND
  India                                          74
  Korea, Democratic People's Republic of         ND
  Maldives                                       ND
  Myanmar                                        95
  Nepal                                          80
  Timor-Leste                                    ND

Western Pacific                                  74
  Cambodia                                      >95
  China                                          80
  Cook Islands                                   ND
  Fiji                                           40
  Kiribati                                       ND
  Korea, Republic of                             <5
  Lao People's Democratic Republic              >95
  Malaysia                                       <5
  Marshall Islands                               ND
  Micronesia, Federated States of                ND
  Mongolia                                       51
  Nauru                                          ND
  Niue                                           ND
  Palau                                          ND
  Papua New Guinea                               90
  Philippines                                    47
  Samoa                                          70
  Singapore                                      <5
  Solomon Islands                                95
  Tonga                                          56
  Tuvalu                                         ND
  Vanuatu                                        79
  Viet Nam                                       70

World                                            52

ND, no data. Data from United Nations (2005b). For a more
detailed explanation of WHO regions and epidemiologic
subregions based on mortality strata, see WHO (2002).