Population, Migration, Urbanisation and Human Geography

Introduction

Population geography stands at the intersection of physical space and human society. It asks the fundamental question: who lives where, why, and with what consequences? For CGPSC aspirants, this subtopic is not merely an abstract academic exercise — it is the lens through which the State Service Commission tests whether candidates understand the demographic realities that shape Chhattisgarh's governance challenges, its tribal populations, its rapid urban growth, and its place in India's larger demographic transition.

This chapter covers seven confirmed Previous Year Questions across four examination years — 2018, 2019, 2021, and 2024 — making it one of the moderately well-tested subtopics in the Geography paper. The questions span a wide arc: from the habitat of specific tribes in distant states (which tests comparative awareness), through the history of Indian Census, to the classification of urban centres, the distribution of Scheduled Tribe populations, migration patterns, urbanisation levels, and sex ratios. This diversity tells you something important: CGPSC does not restrict population geography to Chhattisgarh alone. The examiner expects you to know India-level demographic statistics and Chhattisgarh's position within them.

The difficulty level is moderate to high. A few questions are deceptively simple — for instance, knowing the sex ratio of Union Territories requires rote recall of Census 2011 figures. But the question on census history (Statement-I, II, III format in 2021) and the urban classification categories (2024) demand conceptual clarity. The examiner uses assertion-reason and statement-based formats, which means you cannot bluff with rough knowledge; you need to know exact dates, thresholds, and categories.

Chhattisgarh's relevance is pronounced throughout this subtopic. The state is home to one of India's highest proportions of Scheduled Tribe populations — tribes like Gond, Baiga, Halba, Kamar, Abujhmaria, Muria, Bhunjia, Pando, and Oraon constitute roughly 30–32 percent of the state's population. Chhattisgarh is also experiencing one of the country's most complex migration patterns: net out-migration from forested and southern districts toward cities like Raipur and Bhilai, as well as seasonal labour migration to brick kilns and construction sites in other states. Urbanisation, too, is accelerating — Raipur's emergence as a fast-growing tier-2 city, the industrial corridor around Bhilai, and the government's urban development programmes all make urban geography intensely relevant to this exam.

By the end of this chapter you will understand: (a) the foundations of demographic measurement — census history, population growth models, and vital statistics; (b) India's spatial distribution of population and the role of physiography; (c) the detailed distribution and characteristics of Scheduled Tribes in India and Chhattisgarh; (d) India's urban classification system and urbanisation trends; (e) migration typology and the dominant rural-to-rural pattern; and (f) sex ratio, literacy, and human development geography. All of these are live examination areas. Mastery here will reliably earn you marks not only in Geography but also in intersecting questions in Indian Polity (census provisions) and Economy (demographic dividend).

Core Concepts & Foundations

Population Geography: The branch of human geography that studies the spatial distribution, composition, growth, and movement of human populations, and how these dynamics relate to the physical environment, economic activity, and social structure.

Census: A complete enumeration of all individuals in a defined territory at a specific point in time, conducted by government authority. India's census collects data on population size, age-sex structure, literacy, occupation, migration status, religion, language, caste, and housing conditions, making it the single most comprehensive demographic dataset for the country.

Demographic Transition: A model describing how a country moves from high birth rates and high death rates (low growth, pre-industrial) through an intermediate phase of high birth rates and falling death rates (rapid growth) to low birth rates and low death rates (slow growth, post-industrial). India is currently in the third stage for most of its territory, though some northern and tribal areas remain in the second.

Sex Ratio: Defined in India as the number of females per 1,000 males. A value above 1,000 means more women than men; below 1,000 means the reverse. India's overall sex ratio (Census 2011) is 943. The child sex ratio (0–6 years) at 918 is a sharper indicator of gender-biased sex selection.

Urban Agglomeration (UA): A continuous urban spread comprising a city or town and its adjoining urban outgrowths, or two or more physically contiguous towns with their outgrowths. UAs are used when actual urban limits spill across administrative boundaries. Mumbai Urban Agglomeration, for instance, includes the Municipal Corporation of Greater Mumbai along with several satellite towns.

Scheduled Tribe (ST): Communities notified under Article 342 of the Constitution of India as Scheduled Tribes for a specified state or union territory. The criteria include geographical isolation, distinctive culture, primitive traits, shyness of contact with the wider community, and backwardness. India has over 700 scheduled tribes; Chhattisgarh has 42 notified tribes.

Migration: The movement of a person or group from one place (origin) to another (destination) involving a change of usual residence. Migration is classified by duration (temporary/permanent), direction (internal/international), distance (short-range/long-range), and type (voluntary/forced).

Rural-to-Rural Migration: Movement of people from one rural area to another. Despite urbanisation, this remains the dominant stream of internal migration in India (Census 2011), driven primarily by marriage (especially among women in north India and tribal regions), agricultural labour, and family reasons.

Urbanisation: The process by which an increasing proportion of a population comes to live in towns and cities, accompanied by the social and economic transformation that accompanies this shift from agrarian to industrial and service-based economies.

Town / Urban Area (India's definition): A settlement is classified urban in India if it meets one of two criteria. The first is the statutory criterion — any place notified as a municipality, corporation, cantonment board, or notified area committee. The second is the census criterion (Census Town) — a settlement with (i) a minimum population of 5,000, (ii) at least 75 percent of the male working population engaged in non-agricultural activities, and (iii) a population density of at least 400 persons per square kilometre.

Decennial Census: A census conducted every ten years. India has maintained a decennial census cycle with unbroken regularity since 1881, making it one of the world's longest continuous census traditions.

Population Indices and Their Computation

Population density is total population divided by total area (persons per sq km). Growth rate can be expressed as arithmetic growth (absolute number added per decade) or geometric/exponential growth (percentage rate). India's population growth rate has been declining since the 1980s, a sign of fertility transition, though the absolute annual increment remains large because the base population is enormous.

Age-dependency ratio measures the burden on the working-age population (15–64 years) of supporting the young (0–14) and old (65+). A falling dependency ratio creates the demographic dividend — a period of higher economic output because a larger share of the population is of working age. India is in this window now, but Chhattisgarh's demographic dividend is complicated by the fact that large portions of the tribal population are young but lack market-ready skills, creating a potential demographic risk rather than dividend.

Literacy rate is the percentage of persons aged 7 years and above who can read and write in any language. India's literacy rate was 74.04 percent in 2011. Chhattisgarh's literacy rate in 2011 was approximately 71 percent — slightly below the national average, with pronounced gender and tribal-region gaps.

History and Administration of the Indian Census

Origins and Early Attempts

The systematic counting of population in British India began in the 1860s. The first all-India census was attempted in 1871–72, though it was non-synchronous — different provinces enumerated their populations at different times over roughly a year, making direct comparison imperfect. This was tested directly in CGPSC 2021. The question asked whether Statement-I (first all-India census attempted in 1871), Statement-II (decennial censuses became regular from 1881), and Statement-III (urban population rose from 10 percent to 18 percent between 1900 and 1940) were all true. All three statements are accurate.

The 1881 Benchmark

From 1881 onwards, the Indian census became a true decennial enterprise — conducted simultaneously across the country in a single reference night (now called Census Night). The 1881 census was superintended by W.C. Plowden and for the first time provided synchronous, comparable data across provinces. Every census from 1881 to 2011 (i.e., every decade) has been conducted without interruption — a remarkable administrative achievement even through Partition, World Wars, and complex reorganisations of states.

Census and the Constitution

Article 246 (Seventh Schedule, Union List, Entry 69) places census on the Union List, making it exclusively a central government function. The Census Act, 1948 gives legal authority for the enumeration and makes it mandatory for individuals to provide information to census enumerators. The Registrar General and Census Commissioner of India, under the Union Home Ministry, administers the census.

Post-Independence Census Milestones

Urban Population Growth Trajectory

The statement tested in 2021 — that urban population grew from 10 percent of total population in 1900 to 18 percent in 1940 — reflects the modest but real urbanisation during British colonial rule. Industrial towns around textile mills (Ahmedabad, Bombay) and administrative centres (Calcutta, Madras, Lahore) were the primary drivers. Post-1947, urbanisation accelerated dramatically: by 2011 India's urban share had reached approximately 31.2 percent, and by population count urban India comprised about 377 million persons.

India's Population: Spatial Distribution and Demographic Transition

The Scale of India's Population

India's population crossed one billion before the turn of the millennium and stood at approximately 1.21 billion at the time of Census 2011. By 2023, India surpassed China to become the world's most populous country. This scale is not uniform — it is concentrated in specific regions, creating a geography of density that has profound implications for resource allocation, governance, and development planning.

Population density at the national level was approximately 382 persons per square kilometre in 2011. But this national figure masks enormous variation. The Gangetic Plains — Uttar Pradesh, Bihar, West Bengal, Delhi — record densities of 800–1,100 persons per sq km, some of the highest rural densities in the world. By contrast, the Himalayan districts of Jammu & Kashmir, Himachal Pradesh, and Arunachal Pradesh record fewer than 20 persons per sq km.

Chhattisgarh's population density in 2011 was approximately 189 persons per sq km — well below the national average. However, this aggregate conceals important internal variation: the northern Sarguja and Korea districts and the southern Bastar division have very low densities (sometimes 20–50 persons per sq km in forested blocks), while the Raipur–Durg–Bhilai corridor and the Bilaspur–Korba coal belt are far more densely settled.

The Demographic Transition in India

The demographic transition theory offers a framework for understanding how India's population grew so rapidly after independence and why growth is now moderating.

Stage 1 (Pre-transition, pre-1920): Both birth rates and death rates were high (roughly 45–50 per thousand each), producing low natural population growth. Periodic famines, epidemics, and wars kept mortality elevated.

Stage 2 (Early transition, 1920–1970): Death rates fell sharply due to control of epidemic diseases (malaria suppression, smallpox eradication, improved famine management under post-independence welfare state), while birth rates remained high. This produced the "population explosion" that alarmed planners in the 1950s–1970s.

Stage 3 (Late transition, 1970–present): Birth rates begin to fall as literacy improves (especially female literacy), urbanisation reduces desired family size, contraception becomes more accessible, and child survival improves (reducing the motivation for high fertility as insurance). India's Total Fertility Rate (TFR) has declined from over 5.0 in the 1960s to approximately 2.0–2.1 nationally by 2020, near the replacement level of 2.1.

Chhattisgarh's position: Chhattisgarh has a higher TFR than the national average, particularly in its tribal districts. Southern Bastar districts show TFRs of 3.0–3.5 — reflecting earlier-stage transition driven by lower female literacy, limited healthcare access, and cultural preferences for larger families as economic and social security. The northern districts (Sarguja, Jashpur) show similar patterns among tribal communities. The urban belt around Raipur approaches the national replacement-level fertility.

Age Structure and Dependency

India's population pyramid remains broadly triangular — wide at the base (large young population) and narrowing toward older age groups. The youth bulge (15–29 age group) is at historically unprecedented scale, creating the conditions for the demographic dividend: a period when the working-age population is large relative to dependents.

The IMF and World Bank estimate that India's demographic dividend could add 1–2 percentage points to annual GDP growth if the working-age population can be productively employed. The challenge is that the dividend requires commensurate investment in education and job creation. For Chhattisgarh, this means that the large young tribal population in southern districts represents either a development opportunity (if skilling and employment programmes succeed) or a social risk (if aspirations outpace economic opportunities, especially in Naxal-affected districts).

Population Growth: Decade-by-Decade

The decade 2001–2011 recorded the sharpest drop in decadal growth rate — from 21.5 percent to 17.6 percent — signalling that India's demographic transition is genuinely accelerating. Southern states (Tamil Nadu, Kerala, Karnataka, Andhra) have already achieved replacement-level fertility; northern states (UP, Bihar, Rajasthan) are still well above replacement, sustaining national population growth.

India's Urban Classification System

The Six-Tier City Classification

CGPSC 2024 tested knowledge of how many categories India uses to classify cities based on population size. The correct answer is six categories, often called Class I through Class VI towns. This classification is used by the Census of India and reflects the enormous variation in Indian urban settlements, from mega-metropolises to tiny market towns.

Class I towns (100,000+) can be further divided into million-plus cities (over 10 lakh population) and metropolitan cities (over 40 lakh), and mega-cities (over 1 crore). As of Census 2011, India had 53 million-plus cities — a significant jump from 35 in 2001.

Census Towns vs. Statutory Towns

A distinction often tested is between statutory towns (places with urban local bodies — Municipal Corporations, Municipalities, Town Panchayats, Cantonment Boards, Notified Area Committees) and census towns (settlements meeting the demographic-density-occupational criteria without a statutory urban body). Between 2001 and 2011, the number of census towns in India jumped dramatically — from around 1,362 to 3,894 — suggesting that urbanisation is racing ahead of formal administrative recognition.

This has governance implications: census towns lack elected urban bodies, so residents cannot access funds under urban schemes (JNNURM, Smart Cities Mission, AMRUT). Chhattisgarh has seen a parallel phenomenon in its peri-urban zones around Raipur, Durg-Bhilai, and Korba, where industrial and residential expansion is converting villages into urban clusters faster than municipal limits are redrawn.

Urbanisation in India: State-wise Patterns

The state with the highest percentage of urban population in Census 2011 is Goa, with approximately 62 percent of its population living in urban areas — a fact tested directly in CGPSC 2019. This surprises many candidates who assume it would be Maharashtra or Tamil Nadu (both highly urbanised large states). Goa's small size and predominantly service-based economy (tourism, fisheries, services) explain this high urban proportion.

Other highly urbanised states include Mizoram (~52%), Tamil Nadu (~49%), Kerala (~48%), Maharashtra (~45%). It is notable that Mizoram appears among the top five — the Northeast, despite its perceived remoteness, has high urbanisation due to the concentration of population in state capitals and district headquarters with limited agricultural land.

Chhattisgarh's urbanisation rate in 2011 was approximately 23.2 percent — below the national average of 31.2 percent, reflecting its predominantly rural and tribal character. However, growth poles like Raipur (now the state capital), Bhilai (steel city), Korba (power hub), and Bilaspur (railway and commercial centre) are driving rapid urbanisation in specific corridors.

Urbanisation Policy: From JNNURM to Smart Cities

The acceleration of Indian urbanisation after 1991 compelled the government to develop structured urban development policies. Several major programmes have shaped Indian cities.

Jawaharlal Nehru National Urban Renewal Mission (JNNURM), launched in 2005, was India's first large-scale urban infrastructure investment programme. It focused on 63 selected cities (called mission cities) and provided central funding for water supply, sewerage, solid waste management, urban transport, and slum upgradation. Raipur was among the mission cities under JNNURM, which funded improvements to road connectivity, water distribution networks, and low-income housing in the state capital.

AMRUT (Atal Mission for Rejuvenation and Urban Transformation), launched in 2015, replaced the JNNURM focus on large cities with a more inclusive mandate covering 500 cities with populations above 1 lakh. The mission aims to ensure every household has access to a tap connection and a sewerage connection. Chhattisgarh's Class I towns — Raipur, Bhilai-Durg, Bilaspur, Korba, and Rajnandgaon — are covered under AMRUT.

Smart Cities Mission, also launched in 2015, selected 100 cities through a competitive challenge process for technology-driven urban transformation. Raipur was selected as one of the 100 Smart Cities, with proposals for Area-Based Development in the core city zone and pan-city solutions for intelligent traffic management, command-and-control centres, and digital citizen services.

Housing for All / PMAY-U (Pradhan Mantri Awas Yojana – Urban) targets slum rehabilitation and affordable housing construction for urban poor and Economically Weaker Sections (EWS). Raipur and Bhilai have active PMAY-U projects addressing the housing deficits created by in-migration from rural Chhattisgarh.

Scheduled Tribes: Distribution, Demography, and Chhattisgarh's Profile

National Distribution

Madhya Pradesh has the largest absolute number of Scheduled Tribe population in India according to Census 2011 — a fact tested in CGPSC 2018. This is one of the most commonly confused data points because students conflate absolute numbers with percentage shares. Mizoram has one of the highest ST percentages (~94% of its population), but absolute numbers in Mizoram are very small because the state's total population is only about 1.1 million. Madhya Pradesh, with a population of over 72 million and approximately 21 percent ST share, has the largest absolute tribal count — around 15.3 million ST persons.

The states with significant absolute ST populations are: Madhya Pradesh (largest), Maharashtra, Odisha, Rajasthan, Gujarat, Jharkhand, and Chhattisgarh. Chhattisgarh ranks among the top six in absolute ST count, with approximately 7.8 million ST persons (roughly 30–32% of the state's population).

States with the highest ST percentage include: Mizoram (~94%), Lakshadweep (~94%), Meghalaya (~86%), Arunachal Pradesh (~68%), Nagaland (~86%).

The Halam and Notiya Tribes Question

CGPSC 2018 tested a specific knowledge point about the Halam and Notiya tribes — both are primarily found in Tripura. This is a comparative awareness question, and it illustrates an important examination strategy: CGPSC occasionally tests tribal geography of other states to see if candidates have read standard reference material. The Halam are a group of tribal communities in Tripura including sub-groups such as Bongcher, Chorei, Korbong, Molsom, Ranglong, and Rupini. The Notiya are also a Tripura tribe. Neither community has a significant presence in Maharashtra, Kerala, or Chhattisgarh.

Chhattisgarh's Tribal Landscape

Chhattisgarh was carved out of Madhya Pradesh in November 2000 specifically because its southern and central districts were predominantly tribal and had historically felt marginalised by the Madhya Pradesh administration. The state's 42 notified Scheduled Tribes can be grouped broadly:

Forest-dwelling tribes of Bastar and South Chhattisgarh: Gond (the largest group), Baiga, Abujhmaria, Muria, Dorla, Bhattra, Halba, Bhatra, Madia. These communities live in the districts of Bastar, Narayanpur, Bijapur, Sukma, Dantewada, and Kanker.

Tribes of central Chhattisgarh: Kamar, Pando, Korwa, Bhunjia — smaller communities found in Kabirdham, Baloda Bazar, and Gariaband districts.

Tribes of north Chhattisgarh (Sarguja division): Oraon (Kurukh), Munda, Kanwar, Agaria, Korba — these communities migrated from Jharkhand over generations and maintain strong connections to the Jharkhand tribal belt.

Five tribes in Chhattisgarh are classified as Particularly Vulnerable Tribal Groups (PVTGs): Baiga, Kamar, Abujhmaria (also called Hill Korwa), Birhor, and Pahari Korwa. PVTGs are communities with declining or stagnant population, low literacy, pre-agricultural technology, and economic backwardness. The Government of India provides special development packages for PVTGs under tribal sub-plans.

The Baiga tribe of central Chhattisgarh (and adjacent MP) is one of the most studied PVTG communities. Baiga women traditionally practice bewar (shifting cultivation) and are known for elaborate body tattooing. Their declining numbers and habitat loss due to forest regulations have made them subjects of both academic study and policy debate.

Government Policies for Scheduled Tribes in Chhattisgarh

The Fifth Schedule of the Constitution applies to Chhattisgarh and creates special governance mechanisms for tribal areas: the Tribal Advisory Council (TAC) advises the Governor on matters concerning ST welfare, and the Governor has the power to disallow laws that adversely affect tribal rights. Chhattisgarh's Fifth Schedule areas encompass the Bastar division and parts of Sarguja and north Chhattisgarh.

Panchayats (Extension to Scheduled Areas) Act, 1996 (PESA) grants tribal communities in Scheduled Areas the authority to manage natural resources — forests, minor water bodies, minor minerals, and minor forest produce — through gram sabhas. PESA implementation in Chhattisgarh has been contentious: mining companies and infrastructure projects have sometimes proceeded without adequate gram sabha consultation, generating both legal battles and support for Maoist movements.

Van Adhikar Adhiniyam / Forest Rights Act, 2006 recognises the rights of forest-dwelling tribal communities over forest land and forest produce. In Chhattisgarh, implementation of the Forest Rights Act was initially slow but has since progressed — several thousand individual forest rights titles and community forest rights titles have been distributed, particularly in Bastar. However, large numbers of claims remain contested or pending.

Eklavya Model Residential Schools (EMRS) are central government-funded residential schools for ST students in tribal areas, modelled on Jawahar Navodaya Vidyalayas but specifically targeting tribal populations. Chhattisgarh has a network of EMRS schools in the Bastar and Sarguja divisions, which have improved secondary and senior secondary enrolment among tribal students.

Tribal Research and Training Institute (TRI), Chhattisgarh — based in Raipur — conducts research on tribal communities, assists in documentation of traditional knowledge, and trains government functionaries working in tribal areas. It publishes ethnographic surveys and assists in census classification of tribal communities.

Migration Patterns: India and Chhattisgarh

Typology of Migration

Rural-to-rural migration is the largest stream of internal migration in India, accounting for the majority of all recorded migrants in Census 2011. This was tested in CGPSC 2018. The dominance of rural-to-rural migration is explained primarily by marriage migration among women in Hindu-majority and tribal communities. The custom of village exogamy — marrying outside one's birth village — means that virtually every married woman in rural India is counted as a migrant from her natal village to her husband's village, even if both villages are within the same district. This creates an enormous statistical base for rural-to-rural migration.

Beyond marriage, rural-to-rural migration also includes:

• Agricultural labour migration within and between districts (harvest-season workers)
• Movement of tribal communities following forest produce cycles
• Displacement due to dam construction, wildlife sanctuary creation, and mining

Rural-to-urban migration is the second-largest stream and the one that draws the most policy attention because it drives urban growth, creates slum formation, and generates remittance flows. This stream is dominated by young men seeking employment in construction, manufacturing, and services.

Urban-to-urban migration involves movement between cities — typically skilled migrants seeking better employment, or inter-city transfers of government and corporate employees.

Urban-to-rural migration (reverse migration) is the smallest stream under normal conditions, but the COVID-19 pandemic demonstrated its potential scale: millions of urban migrants returned to their native villages in 2020.

Classification of Migration by Duration

Chhattisgarh's Migration Reality

Chhattisgarh is a net out-migration state. The dominant flow is from southern and forested districts (Bastar, Dantewada, Sukma, Bijapur) toward the state's urban industrial belt and toward other states including Maharashtra, Telangana, and Odisha.

Several factors drive out-migration from tribal Chhattisgarh:

Land alienation and displacement — large infrastructure projects (Bodhghat dam proposals, Indravati basin developments, mining in Hasdeo Arand coalfields) have generated displacement pressure on tribal communities, forcing migration.

Seasonal agricultural labour — many tribal households supplement subsistence farming with 3–6 months of labour migration to brick kilns, construction sites, sugar cane farms, and fish processing units in other states. Bilaspur, Janjgir-Champa, and Raigarh districts send particularly large numbers of seasonal migrants.

Naxal conflict — the prolonged Maoist insurgency in south Bastar has generated forced displacement, creating internal refugees within Chhattisgarh (in relief camps) and pushing some families to permanently relocate to urban centres.

Remittances — for many tribal households, remittances from migrant family members provide 30–50 percent of household income, making migration an integral livelihood strategy rather than a last resort.

Labour Migration and Bonded Labour Concerns

One of the most troubling aspects of Chhattisgarh's migration pattern is the prevalence of debt bondage and bonded labour in the seasonal migration circuits. Tribal labourers from Bastar, Kanker, Balod, and Dhamtari districts are recruited by middlemen (thekedars or contractors) for work in brick kilns in Telangana, Karnataka, and Andhra Pradesh, or in paddy mills and sugarcane crushing units in Maharashtra. The recruitment typically involves an advance payment that effectively traps the worker in obligation to the contractor for the entire season.

The National Human Rights Commission (NHRC) and state labour departments have periodically investigated conditions of CG migrant workers in other states and found cases of wage theft, physical confinement, and denial of return passage. The state government's Mukhyamantri Shramik Seva Yojana and the Labour Department's tracking of registered migrant workers are among the administrative responses, though enforcement remains weak.

The e-Shram portal (central government), which registers unorganised workers including migrant labourers, has enrolled significant numbers from Chhattisgarh. Registration provides access to accident insurance and is intended as a gateway to other social security benefits. However, coverage among the most vulnerable seasonal migrants — those who lack smartphones or documentation — remains incomplete.

Push and Pull Factors in CG Migration

Understanding migration requires distinguishing between factors that drive people away from their origin (push factors) and factors that attract them to the destination (pull factors).

Push factors in Chhattisgarh:

• Insufficient agricultural income during off-season (most tribal farming is rain-fed and limited to kharif season)
• Landlessness among lower-caste and tribal agricultural labourers
• Displacement from forest lands (wildlife sanctuaries, mining, dams)
• Conflict-related insecurity in south Bastar
• Drought years in the less-irrigated northern and central plateau zones

Pull factors at destinations:

• Higher wages at construction sites (₹400–600/day for unskilled labour vs. ₹200–250 in rural CG)
• Advance payment covering family's seasonal food needs
• Social networks (earlier migrants providing information and contacts)
• Urban amenities, education opportunities for children at destination

Sex Ratio, Literacy, and Human Development Geography

Sex Ratio: India's Data Landscape

India's overall sex ratio improved from 933 (Census 2001) to 943 (Census 2011), suggesting modest progress but still indicating a deficit of women relative to men. The child sex ratio (0–6 years) worsened from 927 to 918, a deeply concerning counter-trend explained by increased access to prenatal sex-determination technology and selective abortion of female foetuses.

States with highest sex ratios (2011):

• Kerala: 1,084 — the only major state where women significantly outnumber men; explained by male out-migration and high female life expectancy.
• Pondicherry: 1,037
• Tamil Nadu: 996

States/UTs with lowest sex ratios (2011):

The Union Territory with the lowest sex ratio is Daman and Diu, with a sex ratio of just 618 — the lowest in the country — tested in CGPSC 2024. This extremely skewed ratio results from the massive influx of male industrial and construction workers to the tiny UT's export processing zones and industrial estates, without a corresponding female population.

Other low sex ratio UTs: Dadra and Nagar Haveli (~774), Chandigarh (~818), Andaman and Nicobar Islands (~878), Delhi (~868).

Among states, Haryana (877) and Punjab (895) have the lowest sex ratios, driven by strong son preference, dowry practices, and female foeticide.

Gender Development Index and Women's Empowerment

Beyond the sex ratio, the condition of women in demographic terms can be assessed through the Gender Development Index (GDI) and the Gender Inequality Index (GII) published by UNDP. India's GII reflects gaps in reproductive health, empowerment (parliamentary seats, secondary education), and labour force participation between men and women. At the state level, Kerala consistently scores highest on women's empowerment indicators; northern states like Bihar, UP, and Rajasthan rank lowest.

Chhattisgarh occupies a middle position. Tribal women in Chhattisgarh have relatively high workforce participation rates — they engage in forest produce collection, agricultural labour, and small-scale trading — but they face lower literacy, higher maternal mortality (especially in remote Bastar), and limited access to financial services and legal protections. The state's Sakhi One-Stop Centres provide support to women facing violence, and the Noni Sashaktikaran Sahayata Yojana provides financial assistance for the education and welfare of girl children in labour migrant families.

Chhattisgarh's Sex Ratio

Chhattisgarh's sex ratio in 2011 was approximately 991 — significantly higher than the national average of 943. This is explained by the state's large tribal population: tribal communities in Chhattisgarh generally have more balanced sex ratios than caste Hindu communities in north India, because female foeticide is less prevalent and women are economically valued as agricultural labourers. The Bastar division, with its high tribal density, shows sex ratios above 1,000 in several blocks.

Literacy Distribution

India's literacy rate (2011): 74.04 percent. Male: 82.14 percent, Female: 65.46 percent. The gender literacy gap is approximately 16 percentage points.

Highest literacy states: Kerala (94%), Lakshadweep (92%), Mizoram (91%).

Lowest literacy states: Bihar (64%), Arunachal Pradesh (67%), Rajasthan (67%).

Chhattisgarh: approximately 71 percent overall (male ~81%, female ~60%). The tribal districts of south Chhattisgarh show significantly lower rates — Bastar district around 59–62 percent, with female literacy in some sub-divisions even lower.

Human Development and Tribal Deprivation

The Human Development Index (HDI) combines life expectancy, education, and income. India's national HDI value has improved over decades but remains in the medium human development category. At the subnational level, there is stark variation: Kerala, Himachal Pradesh, and Punjab rank at the top; Chhattisgarh, Jharkhand, and UP rank lower.

Within Chhattisgarh, the Bastar–Abujhmarh belt has some of the lowest human development indicators in India — comparable to sub-Saharan Africa levels in some metrics. Life expectancy in PVTGs like the Baiga and Abujhmaria is significantly below national norms due to malnutrition, lack of healthcare access, malaria, and sickle cell anaemia (which has high prevalence in tribal communities).

The Tribal Sub-Plan (now rechristened Schedule Tribe Component) mandates that states allocate budget funds to tribal areas in proportion to their ST population share. Chhattisgarh's tribal sub-plan notionally covers districts with concentrated ST populations, though the effective utilisation and targeting of these funds remain subjects of academic and activist scrutiny.

Worked Examples & Applications

Working Through the Census History Question (CGPSC 2021)

The question asked candidates to evaluate three statements and identify whether all, some, or only one were correct.

The first statement — that the first all-India census was attempted in 1871 — is true. This non-synchronous enumeration, while imperfect by modern standards, was the first systematic effort to count the population of British India as a single administrative unit. It was attempted in 1871–72.

The second statement — that from 1881 onwards decennial censuses became a regular feature — is also true. The 1881 census, conducted under a single reference date across British India, established the decennial tradition that has been maintained without interruption to this day.

The third statement — that in the forty years from 1900 to 1940, urban population increased from 10 percent to 18 percent — is true. This reflects the gradual industrialisation and commercial expansion under colonial rule, which concentrated population in mill towns, port cities, and administrative centres. The pace was slow by post-independence standards, but the doubling of urban share from 10 percent to roughly 18 percent over four decades was nonetheless a significant structural shift.

Since all three statements are accurate, the correct answer to the question is that Statement-I, Statement-II, and Statement-III are all true. The trap in this question is Statement-I: students who confuse 1871 (attempted) with 1881 (regularised) might wrongly declare Statement-I false. The key is understanding that 1871 was the attempt and 1881 was the regularisation — both facts are correct.

Working Through the Urban Classification Question (CGPSC 2024)

The question asked how many categories India uses to classify cities based on population size. The options were three, four, five, or six categories.

India uses six categories — Class I through Class VI — as established by the Census of India. Many students select five, possibly because they are thinking of the five tiers in some urban administrative frameworks, or because they conflate size classes with the categories of urban local bodies. The Census classification is specifically based on population size, and it recognises six distinct tiers from the village-sized settlements just crossing the 5,000-person threshold to the million-plus metropolitan cities. The correct answer is six categories.

Working Through the Largest ST Population State (CGPSC 2018)

The question asked which state has the largest Scheduled Tribe population in India per Census 2011. The options included Madhya Pradesh, Mizoram, Gujarat, and Maharashtra.

The answer is Madhya Pradesh. The critical thinking required here is to distinguish between absolute numbers and percentage share. Mizoram has the highest ST percentage (~94%) but its total population is tiny (~1.1 million), so its absolute ST count is modest. Maharashtra also has a significant tribal population but a smaller share percentage-wise. Madhya Pradesh, with approximately 21 percent of its 72 million population being ST, yields approximately 15 million ST persons — the highest absolute count in the country.

Note that this answer reflects Census 2011 data. Jharkhand and Chhattisgarh, both carved out of larger states that previously topped these lists, now rank among the top states but have not displaced Madhya Pradesh at the top.

Working Through the Migration Stream Question (CGPSC 2018)

The question asked which type of migration contributed most to population movement in India in 2011.

The correct answer is rural-to-rural migration, which is counterintuitive for most students who associate migration primarily with urbanisation (rural-to-urban). The explanation lies in marriage migration: the Indian custom of village exogamy in Hindu and most tribal communities means that virtually every married woman in a rural area is counted as having migrated from her natal village. Since hundreds of millions of rural women follow this pattern, the rural-to-rural stream dwarfs all other streams combined. Rural-to-urban, while economically significant, represents a much smaller absolute count in Census data.

Working Through the Highest Urban Population State (CGPSC 2019)

The question asked which state has the highest percentage of urban population in 2011.

The answer is Goa, with approximately 62 percent urban population. This surprises candidates who assume Maharashtra (highly industrialised, home to Mumbai) or Kerala (high literacy, development) would top the list. Goa's high urban share reflects its small geographical area (so even small settlements are classified urban), its tourism-driven economy (which concentrates population in coastal towns), and the limited extent of its agricultural hinterland. Maharashtra's urbanisation rate is also high (~45%) but does not match Goa's percentage.

Working Through the Lowest Sex Ratio UT (CGPSC 2024)

The question asked which Union Territory has the lowest sex ratio per Census 2011.

The answer is Daman and Diu with a sex ratio of approximately 618. The other options — Dadra and Nagar Haveli (~774), Andaman and Nicobar Islands (~878), and Chandigarh (~818) — all have low sex ratios but not as extreme as Daman and Diu. Daman and Diu's extreme skew results from its status as an industrial UT with massive male-dominated migrant labour in textiles, chemicals, and plastics manufacturing. The permanent resident female population is very small relative to the influx of male workers.

PYQ Trends & Patterns

What CGPSC Has Repeatedly Tested

Across seven confirmed questions from 2018 to 2024, CGPSC's population geography questions exhibit clear patterns that any serious aspirant must internalise.

Census statistics dominate. Four of the seven questions directly require knowledge of Census 2011 data: ST population by state, urban population percentages, sex ratio by UT, and migration streams. The examiner is testing whether candidates have gone beyond textbook concepts to actually absorb the statistical tables that appear in standard references like NCERT Geography and India Year Book.

Factual recall over analysis. Unlike some subtopics where the paper tests analytical reasoning, population geography questions are predominantly recall-based. You either know that Daman and Diu has the lowest sex ratio or you do not. This means the study strategy for this subtopic is primarily memorisation of a structured set of rankings and facts, not essay-writing practice.

Statement-based format for conceptual material. The census history question (2021) used a Statement-I, II, III format, which tests whether candidates know exact years and can evaluate multiple propositions simultaneously. This format will likely recur. Practice evaluating statements about census history, demographic definitions, and urbanisation thresholds.

Tribal geography specifically tested. The question about Halam and Notiya tribes (2018) shows that CGPSC expects candidates to know the tribal geography of states beyond Chhattisgarh. Standard reference sources list major tribes by state, and candidates should at minimum know the dominant tribes of the Northeastern states, Jharkhand, Odisha, and the Central Indian belt.

Year-by-year distribution. 2018 had the highest density of population geography questions (three in one year), while 2019 had one and 2021 had one. 2024 returned with two. This suggests approximately one to three questions per examination cycle, sometimes clustered. The pattern also suggests the examiner revisits this subtopic in roughly alternating years with higher and lower emphasis.

The 2021 Statement Question: Why It Mattered

The 2021 question about census history (all three statements true) is pedagogically important because it tested the often-confused timeline of 1871 vs. 1881 and the urban population trajectory in the colonial period. Future questions could extend this format to: the year the Census Act was enacted, the census year when women's data on workforce participation was first collected systematically, or the decade when the literacy rate first crossed 50 percent nationally.

Evolving Focus: Urban Classification in 2024

The 2024 question on the six-tier urban classification represents a shift toward definitional and procedural knowledge — the kind of systematic factual knowledge about how Indian institutions categorise and count. This suggests future questions may test: the definition of a census town (the three criteria), the distinction between UA and city, the Smart Cities Mission selection criteria, or the AMRUT scheme's target city size.

What Else Could Be Asked

Common Mistakes & Traps

Confusing Absolute Numbers with Percentages

The single most common error in population geography questions is conflating rankings based on absolute numbers with rankings based on percentage share. Madhya Pradesh has the most ST persons in absolute count, but Mizoram has the highest percentage of STs. Goa has the highest percentage urban but not the largest urban population. Maharashtra has India's largest urban population but not the highest urban percentage. Always read the question carefully for what it asks.

The 1871 vs. 1881 Confusion

Many candidates assume that the first Indian census was 1881 because that is the year when decennial regularity was established. In fact, 1871 was the first attempt — non-synchronous and imperfect but the first. The question in 2021 exploited exactly this confusion. Remember: 1871 = first attempt (non-synchronous); 1881 = first regular decennial (synchronous).

Assuming Rural-to-Urban is the Dominant Migration Stream

The intuitive assumption — that most migrants in India are moving from villages to cities — is factually wrong. Marriage migration makes rural-to-rural the dominant stream. This is a classic trap question and was tested in 2018. Always remember: India's migration data is heavily shaped by the cultural practice of female marriage migration across villages.

Mixing Up Low Sex Ratio UTs

Daman and Diu, Dadra and Nagar Haveli, Chandigarh, and Delhi all have low sex ratios. The question in 2024 specifically asked for the lowest, which is Daman and Diu (~618). Do not select Chandigarh or Dadra and Nagar Haveli by instinct. The extreme industrial male-labour influx to Daman and Diu produces a sex ratio far lower than any other UT.

Forgetting the Six-Tier Urban Classification

Candidates who memorise the definition of Class I towns (100,000+) sometimes forget that there are five more classes below it. The answer to "how many categories" is not one, not two, but six. This requires actually counting the classes in the table rather than just knowing the Class I threshold.

Assuming Chhattisgarh Has Low Sex Ratio

Given its challenges (poverty, tribal marginalisation, Naxal conflict), candidates sometimes assume Chhattisgarh has a poor sex ratio. In fact, CG's sex ratio of approximately 991 is well above the national average, primarily because of the tribal population's cultural patterns. Do not let narrative bias override data.

Memory Aids & Mnemonics

Mnemonic 1: "GOAT KITES" — High Urban Percentage States

To remember states and UTs with notably high urbanisation percentages, use the mnemonic GOAT KITES:

• G — Goa (highest, ~62%)
• O — Other UTs: Delhi, Chandigarh (both highly urban)
• A — Andhra / Telangana belt (rapid urbanisation)
• T — Tamil Nadu (~49%)
• K — Kerala (~48%)
• I — (Industrial states like) Karnataka
• T — Tamil Nadu (repeat = high emphasis)
• E — (Entire) Maharashtra (~45%)
• S — (Small) Northeastern states — Mizoram, Manipur

The key anchor is G for Goa at the top. Once you fix Goa as number one, the rest follows more naturally.

Mnemonic 2: "1871 TRIED, 1881 TIED" — Census History

To remember the census timeline:

"1871 TRIED (first attempt, non-synchronous), 1881 TIED (first synchronous, decennial tradition established)"

The word tied evokes the idea of all provinces being tied together in a single reference night — the synchronous quality that made the 1881 census qualitatively different. Add one more anchor: 1948 LEGISLATED (the Census Act, 1948, the legal basis post-independence).

Mnemonic 3: "MP First, Mizoram Most" — ST Population

For the ST population question:

"MP First (largest absolute), Mizoram Most (highest percentage)"

This rhyme directly encodes the contrast between absolute count (MP) and percentage share (Mizoram) that causes the most confusion.

Mnemonic 4: "FIVE PVTG BEES in Chhattisgarh" — PVTGs

Chhattisgarh's five PVTGs are Baiga, Abujhmaria, Birhor, Bhunjia, Pahari Korwa (some lists include Kamar instead of Bhunjia; the official GoI list should be verified). The anchor phrase:

"FIVE BEES Are Bitten By Persistent Kamar"

• B — Baiga
• A — Abujhmaria
• Bi — Birhor
• B — Bhunjia
• P — Pahari Korwa
• K — Kamar

Mnemonic 5: Six Urban Class Sizes — "LFT SMV"

To remember the six urban class population thresholds in order from largest to smallest:

"Lakh Plus, Fifty, Twenty, Ten, Five, Micro Village"

• L = Class I: 1 Lakh (100,000)+
• F = Class II: 50,000–99,999
• T = Class III: 20,000–49,999
• S = Class IV: 10,000–19,999
• M = Class V: 5,000–9,999
• V = Class VI: Below 5,000

Quick Revision

Census Milestones:

• First attempt: 1871 (non-synchronous)
• First regular decennial: 1881 (synchronous reference night)
• Census Act enacted: 1948 (administered by Union Home Ministry)
• Urban population 1900: ~10%; by 1940: ~18% (slow colonial-era urbanisation)
• Census 2011 overall literacy: 74.04% (male 82.14%, female 65.46%)
• India urban population 2011: ~31.2% of total (~377 million persons)

Urban Classification (India, Census):

• Six classes: Class I (1 lakh+), Class II (50k–99,999), Class III (20k–49,999), Class IV (10k–19,999), Class V (5k–9,999), Class VI (below 5,000)
• Census town definition: ≥5,000 population + ≥75% male workers in non-agriculture + ≥400 persons/sq km density
• Goa: highest urban percentage state (~62%, Census 2011)

Migration:

• Dominant stream India 2011: Rural to Rural (marriage migration explains dominance)
• Chhattisgarh: net out-migration state; seasonal labour to brick kilns, construction, sugarcane

Scheduled Tribes:

• Largest absolute ST population: Madhya Pradesh (Census 2011)
• Highest ST percentage: Mizoram (~94%)
• Halam and Notiya tribes: Tripura
• Chhattisgarh ST share: ~30–32%, approximately 7.8 million persons
• CG has 42 notified STs; five PVTGs: Baiga, Abujhmaria, Birhor, Pahari Korwa, Kamar

Sex Ratio:

• National average 2011: 943 females per 1,000 males
• Child sex ratio: 918 (more alarming than overall — declining)
• Highest state: Kerala (1,084)
• Lowest sex ratio UT: Daman and Diu (~618, due to industrial male migrant labour)
• Lowest state: Haryana (~877)
• Chhattisgarh: ~991 (well above national average due to tribal demography)

Key Rankings (Census 2011):

• Highest literacy: Kerala (94%)
• Lowest literacy: Bihar (~64%)
• Largest urban population (absolute): Maharashtra
• Highest urban percentage: Goa
• Largest ST absolute: Madhya Pradesh
• Highest ST percentage: Mizoram

Chhattisgarh Quick Facts:

• Urban share 2011: ~23.2% (below national 31.2%)
• Major urban centres: Raipur (capital), Bhilai (steel), Korba (power), Bilaspur (commercial)
• Sex ratio: ~991 (above national average)
• Literacy: ~71% (below national average; south CG tribal districts lower still)
• Tribal concentration: highest in Bastar, Narayanpur, Bijapur, Sukma, Dantewada (southern CG) and Surguja, Koriya, Jashpur (northern CG)