Crude birth rates, age-specific fertility rates and total fertility rates (live births), 2000 to most recent year.

5,30 (per thousand population) in 2021. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

6.90 (per thousand population) in 2021. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

13,72 (per thousand population) in 2019. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

Background and Aims: Declining fertility is a key driver behind the rapid aging of populations worldwide. Finland has experienced a 25% decline in fertility from 2010 to date and ranks low even on the European and Nordic scales. This study aimed to address the association between sociodemographic indicators and birth rate (i.e., live births relative to total population) in Finland.Methods: Open data on 310 Finnish municipalities were retrieved from the public database of Statistics Finland. Several sociodemographic subdimensions (population structure, education and income, location and living, divorces, car ownership rate, and crime rate), each converted to standard deviation units, were modeled against birth rate at the municipality level using generalized estimating equations.Results: In this dataset, average annual birth rate was 8.8 per 1,000 individuals. Birth rate was positively associated with change in population size (rate ratio 1.06, 95% confidence interval 1.04−1.08), percentage of

Baby Formula Market Outlook

The global baby formula market size was valued at approximately $55 billion in 2023 and is projected to reach around $105 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.5%. This substantial growth can be attributed to the increasing awareness about infant nutrition and the rising number of working mothers worldwide. Furthermore, the market is driven by advancements in formula composition to closely mimic breast milk, which have significantly improved the nutritional benefits of baby formulas.

One of the key growth factors for the baby formula market is the rising birth rate in developing countries. Countries across Asia and Africa are witnessing a steady increase in their birth rates, which directly boosts the demand for baby formula products. Additionally, increased urbanization and changing lifestyles have led to a higher number of working mothers, who often rely on baby formula to ensure their infants receive adequate nutrition during their absence. This trend is particularly pronounced in regions like Asia Pacific and Latin America, where the combination of rising incomes and urbanization is driving market growth.

Another major growth factor is the rising consumer awareness about the importance of early childhood nutrition. Parents are becoming more conscious of the nutritional content of the food they provide to their infants. This has pushed manufacturers to innovate and develop formulas that are rich in essential nutrients, thereby closely replicating the benefits of breast milk. Moreover, advancements in biotechnology have allowed producers to include probiotics, prebiotics, and other beneficial compounds in baby formula, further enhancing its appeal to health-conscious parents.

The surge in online retailing has also played a crucial role in the expansion of the baby formula market. The convenience of online shopping, coupled with the availability of a wide range of products, has made it easier for parents to access high-quality baby formula. Additionally, online platforms often provide detailed information and customer reviews, which help parents make informed decisions. This shift towards e-commerce is particularly significant in developed regions like North America and Europe, where internet penetration is high, and consumers are accustomed to online shopping.

The importance of Baby Food and Formula in the early stages of an infant's life cannot be overstated. As parents become increasingly aware of the nutritional needs of their babies, the demand for high-quality baby food and formula has surged. These products are designed to provide essential nutrients that support growth and development, especially when breastfeeding is not an option. The market for baby food and formula has expanded significantly, driven by innovations that ensure these products are as close to natural nutrition as possible. This growth is also supported by the rising number of working mothers who seek convenient yet nutritious feeding options for their infants. As a result, manufacturers are continually enhancing their offerings to meet the evolving needs of parents and their babies.

Regionally, the Asia Pacific holds a prominent position in the baby formula market, driven by high birth rates and increasing disposable incomes. North America and Europe follow closely, with strong market growth fuelled by higher consumer spending on premium nutritional products. In contrast, regions like Latin America and the Middle East & Africa are emerging as new markets with considerable growth potential, thanks to improving economic conditions and rising awareness about infant nutrition.

Product Type Analysis

The baby formula market is segmented into various product types, including infant milk, follow-on milk, specialty baby milk, and growing-up milk. Infant milk is designed for newborns and is considered a complete substitute for breast milk during the first six months of life. This segment holds a significant market share due to its necessity for newborns whose mothers cannot breastfeed. The demand for infant milk is particularly strong in regions with higher birth rates and where breastfeeding might not be feasible due to lifestyle or health reasons.

Follow-on milk is targeted at babies aged six months and above and is designed to complement weaning foods. This segment is growing steadily as parents look for formulas that provide additional nutrients during the critical

6,49 (per thousand population) in 2021. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

2,08 (per thousand population) in 2019. Natural Growth Rate of Population refers to the ratio of natural increase in population (number of births minus number of deaths) in a certain period of time (usually a year) to the average population (or mid-period population) of the same period, expressed in ‰. The following formula is applied: (Number of births - NUmber of deaths)/(Annual average population)*1000‰. Natural Growth Rate of Population = Birth Rate-Death Rate.

The Global Infant Formula market is expected to be more than USD 49.42 Billion in 2023. The demand for infant formula is driven by factors such as birth rates, population demograph

4.99 (per thousand population) in 2019. Natural Growth Rate of Population refers to the ratio of natural increase in population (number of births minus number of deaths) in a certain period of time (usually a year) to the average population (or mid-period population) of the same period, expressed in ‰. The following formula is applied: (Number of births - NUmber of deaths)/(Annual average population)*1000‰. Natural Growth Rate of Population = Birth Rate-Death Rate.

Market Size and Growth: The global baby infant formula market is projected to reach a value of $95.37 billion by 2033, exhibiting a CAGR of 6.73% during the forecast period 2025-2033. This growth is driven by factors such as rising birth rates in developing countries, increasing awareness about the nutritional benefits of infant formula, and urbanization leading to changes in feeding practices. Drivers, Trends, and Restraints: Key drivers of the market include the growing adoption of formula-feeding due to the convenience and affordability, as well as the increasing prevalence of food allergies and digestive issues among infants. Industry trends such as the rise of organic and hypoallergenic formulas and the integration of advanced technologies in formula production are expected to shape the market's future. However, factors such as concerns about the safety of infant formula and the economic downturn in some regions may hinder growth. Recent developments include: , The baby infant formula market size was valued at USD 65.92 billion in 2023 and is projected to reach USD 125.7 billion by 2032, exhibiting a CAGR of 6.73% during the forecast period. The rising demand for convenient and nutritious food options for infants, growing awareness about the benefits of infant formula, and increasing disposable incomes in developing countries are major factors driving market growth. Additionally, the expansion of e-commerce platforms and the introduction of innovative products, such as organic and fortified formulas, are further contributing to market growth. Key industry participants are focusing on strategic partnerships, product launches, and acquisitions to strengthen their market position. For instance, in 2023, Danone acquired the infant formula business of Synutra International, Inc., to expand its presence in China.. Key drivers for this market are: Growing health awareness Rising disposable income Increasing demand for organic and specialized formulas e-commerce expansion.. Potential restraints include: Demand for Special Formula Rise in Birth Rate Government Regulations Increasing Awareness Growing Disposable Income..

The crude birth rate in the Philippines saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 16.02 live births per 1,000 inhabitants. Yet 2023 saw the lowest rate in the Philippines with 16.02 live births per 1,000 inhabitants. The crude birth rate is the annual number of live births divided by the total population, expressed per 1,000 people.Find more statistics on other topics about the Philippines with key insights such as male smoking rate, death rate, and total fertility rate.

Baby Formula Fat Market Outlook

The global baby formula fat market size is experiencing a significant expansion, with a projected increase from USD 15 billion in 2023 to approximately USD 25 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 6.5%. This remarkable growth trajectory is driven by a multitude of factors, chief among them being the rising awareness about infant nutrition and the increasing consumer inclination towards high-quality baby food products. The demand for baby formula fat is bolstered by the necessity to provide essential nutrients that mimic the nutritional profile of breast milk, which is critical during the early stages of an infant's development. The marketÂ’s expansion is also augmented by technological advancements in food science, enabling the production of more sophisticated formula compositions that cater to the diverse dietary needs of infants around the globe.

A significant growth factor for the baby formula fat market is the increasing global birth rates in developing regions. Countries in Asia and Africa, for instance, are experiencing demographic booms that are contributing to a higher demand for infant nutrition products. Moreover, the growing number of working mothers worldwide is necessitating the use of convenient and reliable alternatives to breastfeeding, further propelling the demand for high-quality baby formula. As urbanization and modernization sweep across various parts of the globe, families are increasingly seeking nutritionally complete, convenient solutions that cater to the evolving needs of their infants. This shift towards formula feeding is not solely driven by necessity but also by the rising disposable income, allowing parents to invest in premium baby formula products.

Another crucial factor contributing to the market growth is the increasing number of product innovations and investments in research and development. Manufacturers are focusing on enhancing the nutritional content of baby formulas by incorporating beneficial fats that are vital for brain development and overall health. This includes fortifying formulas with omega-3 and omega-6 fatty acids, which are critical for the development of the central nervous system. Furthermore, the market is also witnessing a surge in organic and non-GMO baby formula fat products, aligning with the global trend towards healthier and more sustainable food choices. These innovations are not only catering to the nutritional needs of infants but also addressing parental concerns regarding food safety and quality.

Regionally, Asia Pacific holds a substantial share in the baby formula fat market, driven by high birth rates and a burgeoning middle class. Countries like China and India are at the forefront, with increased consumer spending on infant nutrition products. North America and Europe also represent significant markets, with a steady demand for premium and specialized baby nutrition solutions. The demand in these regions is fueled by a well-informed consumer base that values nutritional content and quality. Meanwhile, markets in Latin America and the Middle East & Africa are emerging, with improving economic conditions and growing awareness about infant health advancing market growth in these regions.

In recent years, the role of Transfat in baby formula has been a topic of considerable discussion among nutritionists and health experts. Transfats, which are often found in processed foods, have been scrutinized for their potential negative health impacts. However, in the context of baby formula, manufacturers are increasingly focused on eliminating or significantly reducing Transfats to ensure the health and safety of infants. This shift aligns with the broader industry trend towards healthier, more natural ingredients. By minimizing Transfats, baby formula producers aim to provide a product that supports optimal infant growth and development, while also addressing parental concerns about food safety and nutrition.

Product Type Analysis

The baby formula fat market is segmented into various product types, including cow milk-based, soy-based, protein hydrolysate-based, and other formulations. Cow milk-based formulas are the most dominant segment, traditionally favored due to their close resemblance to human milk in terms of nutrient profile. This segment benefits from decades of research and development that have fine-tuned the formulation to support infant growth effectively. However, the cow milk-based segment is facing increasing competition from alternative formul

Abstract

The JPFHS is part of the worldwide Demographic and Health Surveys (DHS) program, which is designed to collect data on fertility, family planning, and maternal and child health.

The 1990 Jordan Population and Family Health Survey (JPFHS) was carried out as part of the Demographic and Health Survey (DHS) program. The Demographic and Health Surveys is assisting governments and private agencies in the implementation of household surveys in developing countries.

The JPFIS was designed to provide information on levels and trends of fertility, infant and child mortality, and family planning. The survey also gathered information on breastfeeding, matemal and child health cam, the nutritional status of children under five, as well as the characteristics of households and household members.

The main objectives of the project include: a) Providing decision makers with a data base and analyses useful for informed policy choices, b) Expanding the international population and health data base, c) Advancing survey methodology, and d) Developing skills and resources necessary to conduct high quality demographic and health surveys in the participating countries.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

The sample for the JPFHS survey was selected to be representative of the major geographical regions, as well as the nation as a whole. The survey adopted a stratified, multi-stage sampling design. In each governorate, localities were classified into 9 strata according to the estimated population size in 1989. The sampling design also allowed for the survey results to be presented according to major cities (Amman, Irbid and Zarqa), other urban localities, and the rural areas. Localities with fewer than 5,000 people were considered rural.

For this survey, 349 sample units were drawn, containing 10,708 housing units for the individual interview. Since the survey used a separate household questionnaire, the Department of Statistics doubled the household sample size and added a few questions on labor force, while keeping the original individual sample intact. This yielded 21,172 housing units. During fieldwork for the household interview, it was found that 4,359 household units were ineligible either because the dwelling was vacant or destroyed, the household was absent during the team visit, or some other reason. There were 16,296 completed household interviews out of 16,813 eligible households, producing a response rate of 96.9 percent.

The completed household interviews yielded 7,246 women eligible for the individual interview, of which 6,461 were successfully interviewed, producing a response rate of 89.2 percent.

Note: See detailed description of sample design in APPENDIX A of the survey report.

Mode of data collection

Face-to-face

Research instrument

The 1990 JPFIS utilized two questionnaires, one for the household interview and the other for individual women. Both questionnaires were developed first in English and then translated into Arabic. The household questionnaire was used to list all members of the sample households, including usual residents as well as visitors. For each member of the household, basic demographic and socioeconomic characteristics were recorded and women eligible for the individual interview were identified. To be eligible for individual interview, a woman had to be a usual member of the household (part of the de jure population), ever-married, and between 15 and 49 years of age. The household questionnaire was expanded from the standard DHS-II model questionnaire to facilitate the estimation of adult mortality using the orphanhood and widowhood techniques. In addition, the questionnaire obtained information on polygamy, economic activity of persons 15 years of age and over, family type, type of insurance covering the household members, country of work in the summer of 1990 which coincided with the Gulf crisis, and basic data for the calculation of the crude birth rate and the crude death rate. Additional questions were asked about deceased women if they were ever-married and age 15-49, in order to obtain information for the calculation of materoal mortality indices.

The individual questionnaire is a modified version of the standard DHS-II model "A" questionnaire. Experience gained from previous surveys, in particular the 1983 Jordan Fertility and Family Health Survey, and the questionnaire developed by the Pan Arab Project for Child Development (PAPCHILD), were useful in the discussions on the content of the JPFHS questionnaire. A major change from the DHS-II model questionnaire was the rearrangement of the sections so that the marriage section came before reproduction; this allowed the interview to flow more smoothly. Questions on children's cause of death based on verbal autopsy were added to the section on health, which, due to its size, was split into two parts. The first part focused on antenatal care and breastfeeding; the second part examined measures for prevention of childhood diseases and information on the morbidity and mortality of children loom since January 1985. As questions on sexual relations were considered too sensitive, they were replaced by questions about the husband's presence in the household during the specified time period; this served as a proxy for recent sexual activity.

The JPFHS individual questionnaire consists of nine sections: - Respondent's background and household characteristics - Marriage - Reproduction - Contraception - Breastfeeding and health - Immunization, morbidity, and child mortality - Fertility preferences - Husband's background, residence, and woman's work - Height and weight of children

Response rate

For the individual interview, the number of eligible women found in the selected households and the number of women successfully interviewed are presented. The data indicate a high response rate for the household interview (96.9 percent), and a lower rate for the individual interview (89.2 percent). Women in large cities have a slightly lower response rate (88.6 percent) than those in other areas. Most of the non-response for the individual interview was due to the absence of respondents and the postponement of interviews which were incomplete.

Note: See summarized response rates by place of residence in Table 1.1 of the survey report.

Sampling error estimates

The results from sample surveys are affected by two types of errors, non-sampling error and sampling error. Nonsampling error is due to mistakes made in carrying out field activities, such as failure to locate and interview the correct household, errors in the way the questions are asked, misunderstanding on the part of either the interviewer or the respondent, data entry errors, etc. Although efforts were made during the design and implementation of the JPFHS to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically

Sampling errors, on the other hand, can be measured statistically. The sample of women selected in the JPFHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each one would have yielded results that differed somewhat from the actual sample selected. The sampling error is a measure of the variability between all possible samples; although it is not known exactly, it can be estimated from the survey results.

Sampling error is usually measured in terms of standard error of a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which one can reasonably assured that, apart from nonsampling errors, the true value of the variable for the whole population falls. For example, for any given statistic calculated from a sample survey, the value of that same statistic as measured in 95 percent of all possible samples with the same design (and expected size) will fall within a range of plus or minus two times the standard error of that statistic.

If the sample of women had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the JPFI-IS sample design depended on stratification, stages and clusters. Consequently, it was necessary to utilize more complex formulas. The computer package CLUSTERS, developed by the International Statistical Institute for the World Fertility Survey, was used to assist in computing the sampling errors with the proper statistical methodology.

Note: See detailed estimate of sampling error calculation in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women - Completeness of reporting - Births by calendar year since birth - Reporting of age at death in days - Reporting of age at death in months

Note: See detailed tables in APPENDIX C of the report which is presented in this documentation.

2.91 (per thousand population) in 2019. Natural Growth Rate of Population refers to the ratio of natural increase in population (number of births minus number of deaths) in a certain period of time (usually a year) to the average population (or mid-period population) of the same period, expressed in ‰. The following formula is applied: (Number of births - NUmber of deaths)/(Annual average population)*1000‰. Natural Growth Rate of Population = Birth Rate-Death Rate.

Abstract

The 1995 Uganda Demographic and Health Survey (UDHS-II) is a nationally-representative survey of 7,070 women age 15-49 and 1,996 men age 15-54. The UDHS was designed to provide information on levels and trends of fertility, family planning knowledge and use, infant and child mortality, and maternal and child health. Fieldwork for the UDHS took place from late-March to mid-August 1995. The survey was similar in scope and design to the 1988-89 UDHS. Survey data show that fertility levels may be declining, contraceptive use is increasing, and childhood mortality is declining; however, data also point to several remaining areas of challenge.

The 1995 UDHS was a follow-up to a similar survey conducted in 1988-89. In addition to including most of the same questions included in the 1988-89 UDHS, the 1995 UDHS added more detailed questions on AIDS and maternal mortality, as well as incorporating a survey of men. The general objectives of the 1995 UDHS are to: - provide national level data which will allow the calculation of demographic rates, particularly fertility and childhood mortality rates; - analyse the direct and indirect factors which determine the level and trends of fertility; - measure the level of contraceptive knowledge and practice (of both women and men) by method, by urban-rural residence, and by region; - collect reliable data on maternal and child health indicators; immunisation, prevalence, and treatment of diarrhoea and other diseases among children under age four; antenatal visits; assistance at delivery; and breastfeeding; - assess the nutritional status of children under age four and their mothers by means of anthropometric measurements (weight and height), and also child feeding practices; and - assess among women and men the prevailing level of specific knowledge and attitudes regarding AIDS and to evaluate patterns of recent behaviour regarding condom use.

MAIN RESULTS

• Fertility:

Fertility Trends. UDHS data indicate that fertility in Uganda may be starting to decline. The total fertility rate has declined from the level of 7.1 births per woman that prevailed over the last 2 decades to 6.9 births for the period 1992-94. The crude birth rate for the period 1992-94 was 48 live births per I000 population, slightly lower than the level of 52 observed from the 1991 Population and Housing Census. For the roughly 80 percent of the country that was covered in the 1988-89 UDHS, fertility has declined from 7.3 to 6.8 births per woman, a drop of 7 percent over a six and a half year period.

Birth Intervals. The majority of Ugandan children (72 percent) are born after a "safe" birth interval (24 or more months apart), with 30 percent born at least 36 months after a prior birth. Nevertheless, 28 percent of non-first births occur less than 24 months after the preceding birth, with 10 percent occurring less than 18 months since the previous birth. The overall median birth interval is 29 months. Fertility Preferences. Survey data indicate that there is a strong desire for children and a preference for large families in Ugandan society. Among those with six or more children, 18 percent of married women want to have more children compared to 48 percent of married men. Both men and women desire large families.

• Family planning:

Knowledge of Contraceptive Methods. Knowledge of contraceptive methods is nearly universal with 92 percent of all women age 15-49 and 96 percent of all men age 15-54 knowing at least one method of family planning. Increasing Use of Contraception. The contraceptive prevalence rate in Uganda has tripled over a six-year period, rising from about 5 percent in approximately 80 percent of the country surveyed in 1988-89 to 15 percent in 1995.

Source of Contraception. Half of current users (47 percent) obtain their methods from public sources, while 42 percent use non-governmental medical sources, and other private sources account for the remaining 11 percent.

• Maternal and child health:

High Childhood Mortality. Although childhood mortality in Uganda is still quite high in absolute terms, there is evidence of a significant decline in recent years. Currently, the direct estimate of the infant mortality rate is 81 deaths per 1,000 births and under five mortality is 147 per 1,000 births, a considerable decline from the rates of 101 and 180, respectively, that were derived for the roughly 80 percent of the country that was covered by the 1988-89 UDHS.

Childhood Vaccination Coverage. One possible reason for the declining mortality is improvement in childhood vaccination coverage. The UDHS results show that 47 percent of children age 12-23 months are fully vaccinated, and only 14 percent have not received any vaccinations.

Childhood Nutritional Status. Overall, 38 percent of Ugandan children under age four are classified as stunted (low height-for-age) and 15 percent as severely stunted. About 5 percent of children under four in Uganda are wasted (low weight-for-height); 1 percent are severely wasted. Comparison with other data sources shows little change in these measures over time.

• AIDS:

Virtually all women and men in Uganda are aware of AIDS. About 60 percent of respondents say that limiting the number of sexual partners or having only one partner can prevent the spread of disease. However, knowledge of ways to avoid AIDS is related to respondents' education. Safe patterns of sexual behaviour are less commonly reported by respondents who have little or no education than those with more education. Results show that 65 percent of women and 84 percent of men believe that they have little or no chance of being infected.

Availability of Health Services. Roughly half of women in Uganda live within 5 km of a facility providing antenatal care, delivery care, and immunisation services. However, the data show that children whose mothers receive both antenatal and delivery care are more likely to live within 5 km of a facility providing maternal and child health (MCH) services (70 percent) than either those whose mothers received only one of these services (46 percent) or those whose mothers received neither antenatal nor delivery care (39 percent).

Geographic coverage

The 1995 Uganda Demographic and Health Survey (UDHS-II) is a nationally-representative survey. For the purpose of the 1995 UDHS, the following domains were utilised: Uganda as a whole; urban and rural areas separately; each of the four regions: Central, Eastern, Northern, and Western; areas in the USAID-funded DISH project to permit calculation of contraceptive prevalence rates.

Analysis unit

• Household
• Women age 15-49
• Men age 15-54
• Children under four

Universe

The population covered by the 1995 UDHS is defined as the universe of all women age 15-49 in Uganda. But because of insecurity, eight EAs could not be surveyed (six in Kitgum District, one in Apac District, and one in Moyo District). An additional two EAs (one in Arua and one in Moroto) could not be surveyed, but substitute EAs were selected in their place.

Kind of data

Sample survey data

Sampling procedure

A sample of 303 primary sampling units (PSU) consisting of enumeration areas (EAs) was selected from a sampling frame of the 1991 Population and Housing Census. For the purpose of the 1995 UDHS, the following domains were utilised: Uganda as a whole; urban and rural areas separately; each of the four regions: Central, Eastern, Northern, and Western; areas in the USAID-funded DISH project to permit calculation of contraceptive prevalence rates.

Districts in the DISH project area were grouped by proximity into the following five reporting domains: - Kasese and Mbarara Districts - Masaka and Rakai Districts - Luwero and Masindi Districts - Jinja and Kamuli Districts - Kampala District

The sample for the 1995 UDHS was selected in two stages. In the first stage, 303 EAs were selected with probability proportional to size. Then, within each selected EA, a complete household listing and mapping exercise was conducted in December 1994 forming the basis for the second-stage sampling. For the listing exercise, 11 listers from the Statistics Department were trained. Institutional populations (army barracks, hospitals, police camps, etc.) were not listed.

From these household lists, households to be included in the UDHS were selected with probability inversely proportional to size based on the household listing results. All women age 15-49 years in these households were eligible to be interviewed in the UDHS. In one-third of these selected households, all men age 15-54 years were eligible for individual interview as well. The overall target sample was 6,000 women and 2,000 men. Because of insecurity, eight EAs could not be surveyed (six in Kitgum District, one in Apac District, and one in Moyo District). An additional two EAs (one in Arua and one in Moroto) could not be surveyed, but substitute EAs were selected in their place.

Since one objective of the survey was to produce estimates of specific demographic and health indicators for the areas included in the DISH project, the sample design allowed for oversampling of households in these districts relative to their actual proportion in the population. Thus, the 1995 UDHS sample is not self-weighting at the national level; weights are required to estimate national-level indicators. Due to the weighting factor and rounding of estimates, figures may not add to totals. In addition, the percent total may not add to 100.0 due to rounding.

Mode of data collection

Face-to-face

Research instrument

Four questionnaires were used in the 1995 UDHS.

a) A Household Schedule was used to list the names and certain

Infant Formula Foods Market Outlook

In 2023, the global infant formula foods market size is valued at approximately USD 52 billion, with a robust compound annual growth rate (CAGR) of 6.5% projected to drive the market to an estimated value of USD 90 billion by 2032. The increasing market size can be attributed to several growth factors, including rising birth rates in various regions, urbanization, and an increasing number of working women who require convenient feeding options. Additionally, a growing awareness among parents regarding the nutritional needs of infants, coupled with the increasing capabilities of manufacturers to create formulas that closely mimic human breast milk, are propelling market growth.

One of the primary growth factors for the infant formula foods market is the rising global birth rate and the corresponding increase in the demand for infant nutrition products. As urbanization continues to accelerate, more families are shifting to urban centers where lifestyles demand greater convenience and time-efficiency. This shift has led to a higher reliance on infant formula as a practical solution for feeding infants, particularly in dual-income households. Additionally, improving economic conditions in emerging markets have allowed more families to afford premium infant nutrition products, further driving the market growth.

The evolving perceptions and attitudes towards infant feeding are also significantly contributing to the growth of this market. There has been a noticeable shift in parental preferences towards high-quality infant nutrition products that offer optimal health benefits. This shift is driven by an increasing awareness of the importance of early childhood nutrition, which is being heavily promoted by healthcare professionals and nutritionists worldwide. As a result, parents are more inclined to invest in premium infant formula products that are enriched with essential nutrients, vitamins, and minerals, ensuring the well-being of their infants.

Technological advancements in the production and formulation of infant formula foods are another critical growth driver. Manufacturers are increasingly investing in research and development to produce innovative formula options that can cater to specific dietary needs, such as lactose intolerance or allergies. These advancements have resulted in the development of specialized formulas that can mimic the nutritional profile of breast milk more accurately than ever before. This innovation is not only expanding product offerings but also allowing manufacturers to tap into niche markets, which is contributing positively to the overall market growth.

Regionally, the infant formula foods market is experiencing significant growth across several key areas, with Asia Pacific accounting for a substantial share of the market. The region's growth is largely driven by countries like China and India, where rising disposable incomes and increasing birth rates are contributing to heightened demand for infant formula. North America and Europe also constitute significant portions of the market, driven by high levels of product innovation and strong demand for organic and specialized infant nutrition products. Meanwhile, the Middle East & Africa and Latin America are witnessing moderate growth, propelled by urbanization and improved economic conditions.

The role of Infant Formula Fat Ingredient is pivotal in ensuring that infant formulas meet the nutritional requirements necessary for healthy growth and development. These ingredients are carefully selected to provide essential fatty acids, such as DHA and ARA, which are crucial for brain and eye development in infants. Manufacturers are increasingly focusing on optimizing the fat composition in formulas to closely resemble that of human breast milk. This involves using a blend of vegetable oils and other sources to deliver a balanced profile of saturated, monounsaturated, and polyunsaturated fats. The inclusion of these fats not only supports the infant's energy needs but also aids in the absorption of fat-soluble vitamins, contributing to overall health and well-being.

Product Type Analysis

The infant formula foods market is prominently segmented by product type, with cow milk-based formulas holding a significant share due to their nutritional profile and widespread consumer acceptance. Cow milk-based formulas are often preferred for their balance of nutrients and ease of availability. They are designed to mimic

Baby Formula Dispenser Market was valued at USD 73.87 Billion in 2023 and is projected to reach USD 178.81 Billion by 2031, growing at a CAGR of 11.2% during the forecasted period 2024 to 2031.

Global Baby Formula Dispenser Market Drivers

The market drivers for the Baby Formula Dispenser Market can be influenced by various factors. These may include:

Growing Birth Rates: As more people give birth in different parts of the world, there is a greater need for baby goods like formula dispensers. More parents are looking for easy ways to feed their babies. Growing Working Parent Population: Time-saving and easy-to-use feeding solutions, such as formula dispensers, are in greater demand as more parents go back to work. Technological Advancements in Products: As more consumers seek out contemporary, effective solutions, technological innovations in the form of automatic dispensing features and customisable settings draw in more customers.

Global Baby Formula Dispenser Market Restraints

Several factors can act as restraints or challenges for the Baby Formula Dispenser Market. These may include:

Expensive Initial Costs: High-tech components and automated functions can make advanced formula dispensers somewhat expensive at first. Price-conscious shoppers or those looking for less expensive solutions might be turned off by this. Consumer Education and Awareness: It's possible that many parents are unaware of all the features and advantages of formula dispensers. Adoption may be hampered by a lack of knowledge, particularly in areas where traditional formula preparation techniques are more common. Regulatory Obstacles: Tight guidelines and safety requirements for infant items may make it difficult for new companies to enter the market. These regulations require a substantial time and financial commitment to comply with.

The global standard milk formula market size was valued at USD 69.66 billion in 2025 and is projected to expand at a compound annual growth rate (CAGR) of 4.02% from 2025 to 2033. The rising birth rate, increasing awareness about the nutritional benefits of formula milk, and growing disposable income in emerging economies are the primary factors driving the market growth. Additionally, the increasing prevalence of lactose intolerance and cow's milk protein allergy is expected to boost the demand for specialized infant formula products. Key market trends include the growing popularity of organic and non-GMO formula milk, the increasing demand for fortified formula products, and the rising adoption of hypoallergenic and special dietary formula products. The market is highly competitive, with major players such as Nestlé, Danone, Fonterra, Beingmate, Morinaga Milk Industry, Mead Johnson, FrieslandCampina, Arla Foods, Abbott Laboratories, and Meiji Holdings holding significant market shares. Expansion into emerging markets, product innovation, and strategic acquisitions are among the key growth strategies adopted by these players. Recent developments include: The standard milk formula market is anticipated to witness steady growth in the coming years, driven by increasing birth rates, rising disposable income, and growing awareness about the importance of infant nutrition. In 2023, the market was valued at around USD 69.66 billion, and it is projected to reach USD 99.3 billion by 2032, exhibiting a CAGR of 4.02% during the forecast period. The market growth is primarily attributed to the increasing demand for fortified and organic milk formulas that cater to the specific nutritional needs of infants. Moreover, the rising prevalence of lactose intolerance and cow's milk allergies has led to a surge in demand for alternative milk formulas, such as soy-based and goat's milk formulas. Emerging markets, such as China and India, are expected to contribute significantly to the market growth due to their large population base and growing middle class with increased spending power.. Key drivers for this market are: Growing demand from emerging markets increasing awareness of nutritional benefits ongoing product innovation expanding ecommerce platforms and favorable government regulations. Potential restraints include: Rising Birth Rates Growing Disposable Income Health Consciousness Increasing Awareness of Formula Benefits Government Regulations.

1,23 (per thousand population) in 2021. Natural Growth Rate of Population refers to the ratio of natural increase in population (number of births minus number of deaths) in a certain period of time (usually a year) to the average population (or mid-period population) of the same period, expressed in ‰. The following formula is applied: (Number of births - NUmber of deaths)/(Annual average population)*1000‰. Natural Growth Rate of Population = Birth Rate-Death Rate.