Change PART XIII begins with demography because the contemporary economy of Mithila, Vajji and Anga is built on population structure: the number of people, their age distribution, household organisation, sex composition, education, mobility and settlement pattern. High population density can intensify pressure on agricultural land and public services, but it can also create deep labour markets, dense commercial networks and large consumer demand. A young population may offer a demographic dividend only when education, health and productive employment expand at comparable speed. Migration may remove workers from local labour markets while simultaneously sustaining households through remittances. Demography therefore belongs inside economic history rather than in a statistical appendix. The central methodological difficulty is geographical. Modern censuses enumerate states, provinces, districts, sub-districts, municipalities, villages and households; they do not enumerate a single administrative unit called ‘Mithila–Vajji–Anga’. The historical-cultural regions overlap present-day Bihar and Nepal and have changed in meaning and boundary over time. This chapter consequently works with layered evidence rather than pretending that a fixed modern boundary can be projected backwards. For India, the last completed population census remains Census 2011 while Census 2027 is under way with a reference date of 1 March 2027. For Nepal, the 2021 census provides a more recent complete enumeration. Surveys such as NFHS add fertility, health and household indicators, but they are samples, not substitutes for a census. 117.1 Demography as the first infrastructure of the contemporary economy Population is both a stock and a set of relationships. The number of residents determines the scale of food demand, housing, transport, schooling and health care, but economic consequences depend on composition. Ten million children create a different demand profile from ten million working-age adults; a district with large out-migration can have a high registered population but a thinner resident labour force during peak construction seasons; a village with many older adults and children may depend on earnings generated hundreds of kilometres away. Contemporary economic analysis must therefore move from headcounts to age, gender, household, work and migration structures. In Mithila, Vajji and Anga, dense agrarian settlement, recurrent migration and uneven urban growth make this relational approach especially important. 117.2 A region without a single census boundary Mithila, Vajji and Anga are historical-cultural regions, not current census districts. Any demographic total for them is therefore constructed by the historian. Modern district boundaries cut across older political and linguistic geographies, while district reorganisation changes the units between censuses. A serious reconstruction must state which districts or sub-districts are included, for what date, and why. Language maps add another layer because Maithili, Bajjika and Angika speech zones do not coincide perfectly with administrative lines. Nepal adds a separate national statistical system with provinces, districts and municipalities. The correct method is to overlay these sources and keep uncertainty visible, not to manufacture one timeless demographic polygon. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II 117.3 The Indian census baseline and the long gap after 2011 India’s 2011 Census remains the last completed decennial population census available for Bihar as a whole. Its Primary Census Abstract provides population, sex, age-group, Scheduled Caste and Scheduled Tribe, work and rural–urban indicators down to district, sub-district, town and village levels. For the present chapter, this remains the firm base for spatial comparison inside the Indian side of the study region. Later surveys and administrative records can update selected dimensions, but they use different sampling frames and definitions. The long interval after 2011 is itself historically significant: policy has had to operate for more than a decade using projections, enrolment records, electoral rolls, health surveys and scheme databases in place of a new complete enumeration. 117.4 Census 2027 and the problem of an unfinished present As of September 2026, India is preparing and conducting Census 2027 rather than publishing a completed post-2011 population census. The official reference date for most of India is 1 March 2027, and the exercise is being conducted digitally with a self-enumeration option; caste enumeration is also scheduled for the population-enumeration phase. This creates an unusual documentary moment. Scholars can describe the organisation and questions of the new census, but they cannot treat future 2027 results as already known. Any ‘current population’ for Bihar or its districts before those results must therefore be labelled as a projection or administrative estimate. This distinction prevents false precision and protects the chronology of evidence. Figure 464 — Demography and the contemporary economy: a feedback system. 117.5 Nepal’s 2021 census and the cross-border demographic field Nepal offers a contrasting statistical chronology because its National Population and Housing Census 2021 has already produced detailed provincial and district results. Madhesh Province recorded 6,114,600 people in 2021, an annual average growth rate of 1.19 percent over the preceding decade, and a density of 633 persons per square kilometre. The province’s age structure was still young: 33.2 percent of residents were aged fourteen or below, 57.7 percent were 15–59, and 9.1 percent were 60 or above. These figures illuminate the northern cross-border demographic field, but Madhesh Province should not be treated as identical with historical Mithila. Its eight districts contain Maithili, Bajjika, Bhojpuri and other linguistic populations and have their own administrative history. 11811181 GAJENDRA THAKUR 117.6 Long-run population growth in Bihar Bihar’s 2011 population was about 104.1 million. Between 2001 and 2011 it grew by roughly 25.1 percent, substantially faster than India as a whole during that decade. Earlier census series show that this high growth emerged from the interaction of declining mortality with fertility that fell later and more slowly than in many southern and western states. The result was not simply ‘too many people’ but large successive cohorts entering school, marriage, labour markets and migration networks. In the districts of north Bihar and the eastern Gangetic plain, population growth intensified subdivision of holdings and demand for non-farm work. Long-run demographic growth therefore helps explain why migration, educational competition and the search for salaried employment became central features of household strategy. 117.7 Density, land pressure and the settlement mosaic Bihar’s population density reached 1,106 persons per square kilometre in 2011, among the highest levels for a major Indian state. Density is especially consequential in the alluvial plains, where settlements, roads, fields, embankments, ponds and market centres are packed into a landscape repeatedly reorganised by rivers. High density does not mechanically imply poverty: fertile land, proximity to markets and dense social networks can support intensive agriculture and commerce. The problem arises when population growth outpaces productivity, infrastructure and the creation of non-farm employment. Land fragmentation, homestead congestion and conflict over commons then become demographic-economic questions. Density must therefore be read together with land quality, flood risk, tenure and access to transport rather than used as a stand-alone indicator. 117.8 Rurality, towns and incompatible definitions of urbanisation The language of ‘urbanisation’ requires unusual care in cross-border comparison. Bihar’s 2011 census urban share was only 11.3 percent under Indian census definitions, reflecting the predominance of village settlement and a relatively small network of statutory and census towns. Nepal’s 2021 report states that 73 percent of Madhesh Province’s population lived in urban municipalities, but Nepal’s municipal classification expanded administratively and is not equivalent to India’s census-urban definition or to continuous built-up settlement. A municipality may contain extensive rural landscapes. The useful historical question is therefore not which side is ‘more urban’ from these percentages. It is how settlement functions are changing: market access, commuting, educational institutions, real-estate conversion, road-front growth and municipal service obligations. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II Figure 465 — Two official demographic baselines across the border; categories are not directly interchangeable. 117.9 Fertility transition and the changing size of birth cohorts Fertility is one of the most important moving variables in the region’s demographic transition. NFHS-5 for Bihar, conducted in 2019–21, estimated a total fertility rate of about 3.0 children per woman, lower than earlier rounds but still above the replacement level. The survey also showed a clear urban–rural difference, with fertility lower in urban areas. Declining fertility eventually reduces the relative size of child cohorts, but its economic effects arrive with delay: schools may face changing enrolment patterns first, labour-force growth changes later, and population ageing follows decades after that. District and social-group differences matter greatly, so a state average should not be projected mechanically onto Mithila, Vajji or Anga subregions. 117.10 Age structure and the demographic dividend question A young age structure can create a temporary demographic dividend when the share of working-age people rises relative to dependants. Madhesh Province in 2021, with 57.7 percent of its population aged 15– 59 and one-third under fifteen, illustrates both opportunity and obligation. The younger cohorts represent future workers, but they first require nutrition, schooling, health care and skills. In Bihar, successive large youth cohorts have entered labour markets that cannot be understood only within state boundaries because migration is a major employment mechanism. A demographic dividend is therefore not automatic. Without productive jobs, education and health, the same age structure can produce underemployment, delayed household formation, competitive examinations as a mass social phenomenon, and intensified migration. 117.11 Household size, domestic economies and intergenerational support Households translate population structure into everyday economic behaviour. Nepal’s Madhesh Province had an average household size of 5.29 in 2021, down from 5.80 in 2011, indicating gradual change even within a region associated with large family households. On the Indian side, household size varies by caste, class, migration status, urban residence and life-cycle stage. The apparent joint family may operate as a multi-local economic unit: some members remain in the village, others work in Delhi, Punjab, Gujarat, the Gulf or Kathmandu, and money and care move between sites. Census household definitions capture co- residence at one moment; economic history must also reconstruct these distributed family systems. Falling household size can therefore coexist with strong kin-based transfers and obligations. 11831183 GAJENDRA THAKUR 117.12 Sex composition, gender and the limits of a single ratio Sex ratios are often treated as a single measure of gender relations, but demographic interpretation requires several ratios: total population, children, sex at birth, age-specific survival and migrant populations. Male-selective labour migration can raise the female share among those actually present in a village even when other forms of gender inequality remain severe. Conversely, female migration associated with marriage can alter district residence patterns without representing labour mobility. Gendered demography must therefore connect enumeration with work, property, education, marriage and care. The economic importance of women’s unpaid agricultural and household labour is especially easy to undercount when census categories privilege a single ‘main’ activity. Population composition is thus partly a statistical question about how work and residence are defined. 117.13 Children, schooling and the future labour force Large child cohorts create immediate demands for schools, teachers, vaccination, nutrition and safe transport. Their future economic effect depends on whether schooling produces literacy, numeracy and transferable skills rather than only enrolment. In Bihar, educational expansion after the 2000s brought many more children, including girls and historically excluded groups, into formal schooling. Yet differences in school quality, completion and access to higher education continue to shape migration and occupation. Demography makes these differences cumulative: a weak school system does not fail only one cohort; it alters the productivity and earnings of that cohort for decades. Conversely, improvements in girls’ education can influence fertility, age at marriage, labour participation and the health of the next generation. 117.14 Mortality decline, health transition and survival The twentieth-century decline of mortality transformed the population long before fertility reached low levels. Expanded vaccination, antibiotics, safer childbirth, public-health campaigns and improved food access increased survival, although gains were uneven and periodic epidemics, floods and poverty continued to produce vulnerability. The contemporary phase is marked by a double burden: infectious disease and maternal-child risks persist while non-communicable diseases become more important as people survive to older ages. Economic consequences include changing health expenditure, care needs and work capacity. Mortality decline also changes household expectations: families can invest differently when child survival is more secure, while longer adult survival creates a growing need for income security and chronic-disease care. 117.15 Marriage patterns and the timing of family formation Marriage remains a central demographic institution because it structures household formation, fertility, residence and many transfers between families. NFHS-5 showed that early marriage had declined in Bihar but remained significant, especially in rural areas. The timing of marriage interacts with girls’ education and fertility: later marriage generally shortens exposure to early childbearing and can increase the possibility of continued study or employment. Yet marriage migration also complicates population data because women frequently change residence across villages and districts. In borderland regions, marriage networks can cross linguistic and national boundaries, linking households economically even where labour and citizenship regimes differ. Demographic history must therefore treat marriage as mobility as well as family formation. 117.16 Literacy, education and demographic capability Literacy and years of schooling are demographic capabilities because they change how people use health services, migrate, enter occupations and interact with the state. NFHS-5 continued to show a substantial HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II gender gap in Bihar: literacy among women aged 15–49 was markedly below that among men, and internet use displayed an even wider divide. These differences affect who can access digital recruitment, banking, welfare applications and information. Education also changes the geography of aspiration. Students move to Darbhanga, Patna, Bhagalpur, Delhi, Kota or other educational centres; successful graduates may not return immediately. The resulting demographic circulation links the region to national labour markets and can simultaneously produce local skill shortages and remittance income. 117.17 Caste and social composition: evidence and caution Caste is indispensable to the social demography of Bihar, but the available datasets must be kept distinct. Census 2011 systematically enumerated Scheduled Castes and Scheduled Tribes but did not publish a full caste census for all communities. Bihar’s later caste-based survey belongs to a different administrative and methodological context, while Census 2027 is scheduled to include caste enumeration in its population phase. Historical analysis should therefore avoid merging these sources as if they were one continuous series. The key economic point is that caste shapes landholding, occupation, education, migration networks and access to public goods. Population shares matter, but the distribution of assets and opportunities within and between groups matters more than numerical weight alone. 117.18 Religion and demographic plurality The study region contains Hindu, Muslim, Buddhist, Jain, Christian and other religious histories, though contemporary population shares vary sharply by district and locality. Religious demography becomes economically relevant through settlement concentration, occupational networks, educational institutions, charitable organisations, marriage patterns and migration. It is also politically sensitive. Census categories record self-reported affiliation at a specific date; they do not measure belief, practice or social influence. For a regional history, the safest method is to use official counts where necessary while resisting the temptation to turn demographic plurality into a deterministic political narrative. Markets, schools, transport corridors and labour migration routinely cross religious boundaries even when public debate emphasises difference. 117.19 Language demography across Mithila, Vajji and Anga Language demography is particularly important because the project’s regions are partly defined through linguistic history. Census of India language tables show strong Maithili reporting across north Bihar districts, while Angika is associated with the eastern Bhagalpur–Banka–Munger zone and Bajjika with the west/north- western field, though census classification and self-reporting complicate neat maps. Nepal’s 2021 language analysis reported Maithili as the largest mother tongue in Madhesh Province at 41.7 percent, while Bajjika also had a major presence and was overwhelmingly concentrated in the province. Language counts should not be mistaken for fixed ethnic boundaries. Schooling, migration, census nomenclature, multilingual households and political recognition all influence what people report as a mother tongue. 117.20 Internal migration as a structural population process Migration is not an exceptional response to crisis; it is a structural component of the region’s population economy. Census 2011 migration tables capture place of birth and previous residence, while labour surveys and field studies reveal the importance of seasonal and circular migration that can be missed by residence- based enumeration. Workers from Bihar move to Punjab and Haryana agriculture, metropolitan construction, factories, services and transport across India. Better-connected households may send students, professionals and public-sector employees. Out-migration changes the age and sex composition of origin 11851185 GAJENDRA THAKUR villages, affects wage bargaining and creates new consumption patterns. Population ‘loss’ through migration may therefore coexist with economic gain through remittances and skills, although the costs of family separation can be substantial. Figure 466 — How fertility, mortality and migration become economic change through population structure. 117.21 Male-selective migration and the reorganisation of households Migration from rural Bihar has historically been disproportionately male, especially in manual and seasonal work. This can transfer day-to-day farm management, elder care, child education and dealings with local institutions to women who remain at home. Such ‘feminisation’ of responsibility does not automatically mean greater control over land or household income: remittance decisions and property rights may remain male-dominated. Demographically, male absence also distorts simple resident sex ratios and labour-force measures. For economic history, the household must be analysed as a unit spread across places, with labour supplied in one region and reproduction, care and part of consumption located in another. This multi-locality is one of the defining social forms of the contemporary eastern Gangetic economy. 117.22 Nepal, overseas labour and transnational household strategies On the Nepal side, foreign labour migration adds another scale of demographic absence. Large numbers of Nepali workers have sought employment in the Gulf, Malaysia, India and other destinations, and Madhesh households participate in these circuits alongside internal migration to Kathmandu and other urban centres. Census categories for ‘absent population’ and household-headship help show how migration reshapes residence. The economic impact depends on destination, recruitment cost, contract conditions and the use of earnings. Overseas migration can finance housing, education and debt repayment while also exposing workers to injury, wage theft and prolonged separation. Cross-border regional history must therefore connect population data with labour regimes that lie far beyond Mithila itself. 117.23 Remittances, consumption and demographic dependence Remittances convert demographic mobility into local purchasing power. They support food consumption, education, health care, house construction, ceremonies, debt service and sometimes land purchase or small enterprise. This can sustain villages whose resident employment base appears weak. At the same time, dependence on remittances can make households vulnerable to recessions, border closures, HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II recruitment shocks or illness at the destination. The COVID-19 return migration of 2020 demonstrated how quickly a labour-exporting region can experience a sudden reversal of population flows. Remittances should therefore be treated as part of household income architecture, not as a separate financial topic. Their demographic counterpart is the absence, return and circulation of working-age members. 117.24 District towns, corridors and emerging settlement concentration Population concentration increasingly follows roads, district headquarters, educational centres and market corridors rather than only traditional town boundaries. Darbhanga, Muzaffarpur, Bhagalpur, Janakpur and numerous smaller municipalities function as nodes for health care, higher education, wholesale trade, transport, administration and real estate. Growth frequently appears as ribbon development, peri- urban subdivision and conversion of agricultural land rather than a compact metropolitan form. Such settlement change can be missed if analysis relies only on a binary rural/urban variable. The contemporary economy requires a functional geography of commuting, market access and service catchments. Demographic concentration around transport nodes also changes land values and the social composition of nearby villages. 117.25 Floods, erosion and environmentally induced mobility Floods and river erosion produce mobility that does not fit neatly into the categories of permanent migration. The Kosi, Bagmati, Kamla, Gandak and Ganga systems can destroy crops, homes and roads, force temporary evacuation, erode land and shift channels. Some households return after water recedes; others relocate to embankments, roadside land, towns or distant labour markets. Repeated displacement can turn seasonal coping into long-term migration. Demographic evidence must therefore be read alongside disaster records and local histories. A village’s population decline may reflect erosion or administrative reclassification rather than ordinary economic migration. Environmental mobility is especially important for understanding why households diversify livelihoods across several locations. 117.26 Work participation and the difference between population and labour force A large working-age population is not the same as a large employed population. Census work categories, labour-force surveys and household descriptions differ in reference periods and in how they classify unpaid family work, seasonal agriculture and women’s activities. Bihar has historically recorded relatively low work participation, especially for women, even though women contribute extensively to agriculture, livestock, household production and care. The contemporary economy must therefore distinguish labour availability from measured employment. Youth unemployment, underemployment and exam preparation can coexist with labour shortages in particular manual occupations when migration and aspiration redirect workers. Demographic structure sets the potential labour supply; institutions, wages, skills and social norms determine how much of that potential becomes recorded work. 117.27 Dependency, care work and population ageing Dependency ratios usually compare children and older people with the working-age population, but real dependency is mediated by income, health and care arrangements. A working-age adult without employment may depend economically on migrants or pensions, while an older person may continue farming or manage family assets. As fertility falls, child dependency can decline, creating fiscal space for better education per child. Later, ageing raises the need for chronic-health care, pensions and accessible housing. Madhesh 11871187 GAJENDRA THAKUR Province’s 2021 share of people aged 60 and above was 9.1 percent, already large enough to make ageing visible even in a young population. Planning for the demographic dividend and for ageing must occur simultaneously because infrastructure built today will serve tomorrow’s older cohorts. 117.28 Projections, administrative estimates and the danger of false precision Population projections are necessary when censuses are widely spaced, but they are not new enumerations. The Government of India’s state projections for 2011–2036 estimate future population using assumptions about fertility, mortality and migration. Administrative systems produce other counts: school enrolments, ration cards, health registries, electoral rolls, mobile connections and welfare databases. Each serves a purpose and each has coverage rules that differ from usual-resident census concepts. Combining them without methodological discipline can generate spurious precision. Until Census 2027 results are released, a responsible account should give exact 2011 census numbers where appropriate, use later survey indicators for specific processes, and label projected totals explicitly as projections. Figure 467 — Reconstructing regional demography without inventing a fixed census boundary. 117.29 What demographic structure means for economic planning Demographic structure affects nearly every policy field in Part XIII. Agriculture must absorb or release labour as holdings fragment; manufacturing and services need jobs for young cohorts; transport investment changes commuting and migration; urban policy must anticipate settlement growth outside old municipal cores; health systems must handle both maternal-child care and chronic disease; schools must adjust to changing cohort size; and social protection must reach migrants and older adults. Cross-border differences in census timing further complicate planning for the cultural region. The practical lesson is to design institutions for mobility and change rather than for a static village population. Portability of benefits, interoperable records and regional transport become demographic policies as much as administrative reforms. 117.30 From population pressure to population capability The phrase ‘population pressure’ captures only one side of the region’s demographic history. Dense settlement and rapid twentieth-century growth did intensify competition for land, education and formal jobs. Yet people are also the carriers of skills, networks, cultural knowledge, enterprise and remittance HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II connections. The economic question is whether institutions convert population into capability. Fertility decline, better survival, expanded schooling and wider mobility are already changing household strategies. The next chapters will show how agriculture, labour, industry, services and infrastructure respond to this changing population base. Demography therefore opens PART XIII not as a warning about numbers, but as the historical architecture within which the contemporary economy operates. 11891189 GAJENDRA THAKUR Table 117.1 — Evidence architecture for demographic reconstruction Evidence source Reference date / What it establishes Main caution period Census of India 2011 1 March 2011 complete population baseline to last completed Indian village/town level census; boundaries must be harmonised Census 2027 2026–27 new digital census framework and results are not yet available operations forthcoming enumeration in 2026 NFHS-5 Bihar 2019–21 fertility, health, marriage, sample survey; not a education, internet use district-complete census Population 2011–2036 modelled state totals and age-sex assumption-dependent; not projections structure observed counts Nepal NPHC 2021 25 Nov 2021 complete Nepal categories are not province/district/municipality identical to Indian demography categories Language census 2011 India / 2021 self-reported mother tongue reporting categories and tables Nepal distribution identities can change Migration tables / census-specific residence, birthplace, absence and seasonal/circular migration absent population mobility patterns can be under-recorded Administrative continuous service users, enrolments, designed for administration, records beneficiaries, voters not population enumeration