The data vault of the 2011 Indian Census

20140304 – Major update – Extensive new data tables have been made available for public use by the Census of India. These include: (1) Primary Census Abstract tables to the village and ward level, (2) consolidated top level datasheets for Population Enumeration Data, population living in villages, age data, and data on disability.

Here they are:

[Set 1] Primary Census Abstract Data (Final Population); Primary Census Abstract Data for Houseless (India & States/UTs – District Level) ; Primary Census Abstract Data for Scheduled Castes (SC) (India & States/UTs – District Level) ; Primary Census Abstract Data for Scheduled Tribes (ST) (India & States/UTs – District Level) ; Primary Census Abstract Data for Slum (India & States/UTs – Town Level) ; Primary Census Abstract Data Highlights – 2011 (India & States/UTs) ; Primary Census Abstract Data Tables (India & States/UTs – District Level) ; Primary Census Abstract Data Tables (India & States/UTs – Town/Village/Ward Level).

[Set 2] Villages By Population ; Village population Tables ; Percentage of population living in villages of various population size with reference to the total rural population: 2011 ; Percentage of villages and population by class of villages in 2001 and 2011 ; Statement showing the number of Villages of population 10,000 and above with their population: 2001-2011 ; Distribution of 10,000 villages of each class in All India and 10,000 population in each class of villages All India among the States and Union Territories.

[Set 3] Single Year Age Data – (India/States/UTs) ; Single Year Age Data for Scheduled Castes (SC) ; Single Year Age Data for Scheduled Tribes (ST) ; Five Year Age Group Data ; Five Year Age Data for Scheduled Castes (SC) ; Five Year Age Data for Scheduled Castes (ST).

[Set 4] Disabled Population by type of Disability, Age and Sex (India & States/UTs – District Level) ; Disabled Population by type of Disability, Age and Sex For Scheduled Castes (India & States/UTs – District Level) ; Disabled Population by type of Disability, Age and Sex For Scheduled Tribes (India & States/UTs – District Level).

20130903 – The Census 2011 as a data source is now two years old for the first indicators and preliminary estimates were released in 2011 June and July. Since then we have had regular releases from the world’s most detailed very large-scale enumeration of people.

The ‘primary census abstract’ is the most important record for a settlement, whether a rural hamlet or an urban town ward. This contains the population, gender ratio, literacy rate, proportion of children, the numbers of scheduled tribe and caste members, and also contains the four-fold break-up of the working population.

The Census of India has released the primary census abstract (PCA) to the district level for all states and union territories. On the website, you can get the tables for individual districts through a series of menus. Here, I have posted the xls data sheets for every state and union territory, and each sheet contains the PCA for all that state’s districts.

In alphabetical order (and with the state census code) they are: Andaman and Nicobar Islands (35), Andhra Pradesh (28), Arunachal Pradesh (12), Assam (18), Bihar (10), Chandigarh (04), Chhattisgarh (22), Dadra and Nagar Haveli (26), Daman and Diu (25), Delhi (07), Goa (30), Gujarat (24), Haryana (06), Himachal Pradesh (02), Jammu and Kashmir (01), Jharkhand (20), Karnataka (29), Kerala (32), Lakshadweep (31), Madhya Pradesh (23), Maharashtra (27), Manipur (14), Meghalaya (17), Mizoram (15), Nagaland (13), Odisha (21), Puducherry (34), Punjab (03), Rajasthan (08), Sikkim (11), Tamil Nadu (33), Tripura (16), Uttar Pradesh (09), Uttarakhand (05), West Bengal (19).

Census 2011, the first big numbers release

The Census of India has released the first batch of the primary census abstract. This is the heart of the gigantic matrix of numbers that describes India’s population (to be correct technically, India’s population as it was in 2011 March). The PCA, as it is fondly known amongst the tribe that speak its arcane language, is the final and corrected set of numbers of the populations of India’s states, districts, blocks and villages – this corrects, if such correction was required, the data used in the Census 2011 releases between 2011 and now, which were officially called provisional results.

This release of the PCA is detailed down to district level, and that means the block- and village-level releases are to follow. This gives us the rural and urban populations, the number of children between 0 and 6 years old and what gender they are, and it gives us the number of workers and dependents. Within workers, the PCA tells us who the ‘main’ and ‘marginal’ workers are (a distinction based on how much of the year they are employed). What is of great importance to our study of food and agriculture is that the data tell us how many cultivators and how many agricultural labourers there are.

Well then, without further ado, here is where you’ll find this new forest of numbers. First, there is a very good overview provided by the Office of the Registrar General and Census Commissioner of India (that’s the official title of the organisation that carries out the world’s largest census operation, yes yes, there is one larger enumeration but this is the most detailed census in the world) and you can download it here (a big ppt of about 9MB). Then there is the page on which the PCAs of the states and union territories can be found, which is here.

If you’ve hurried over to that last page you will have found that the xls files that correspond to each state and union territory are coded. That is the state code, and in my work I have found it far more useful to have a set of xls files that are named with both the state (or UT) 2 or 3 character forms and their Census codes. So, here they are, in alphabetical order:

Andaman and Nicobar Islands, Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chandigarh, Chhattisgarh, Dadra and Nagar Haveli, Daman and Diu, Delhi, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Jharkhand, Karnataka, Kerala, Lakshadweep, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram, Nagaland, Odisha, Puducherry, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, Uttarakhand, West Bengal. There, that’s all 35 – do let me know if any of these links are empty or pointing to the wrong file.

Will it or won’t it? India’s monsoon forecast gamble

Assam flood refugees. Photo: Alertnet

The India Meteorological Department (IMD) has released the long-awaited update of its long range forecast for the 2012 monsoon.

Stripped of its scientific jargon, this is what the update has said. There is a July model and an August model. For both months, there are three forecast categories: below normal in which rainfall in less than 94% of the long period average (LPA), normal in which the rainfall is between 94% and 106% of the LPA, and above normal in which rainfall is more than 106% of the LPA. Under the three categories, the forecast probabilities for July are (in the same order) 36%, 41% and 23% and for August they are 42%, 36% and 22%. Under any combination of probability therefore, this means that both July and August are going to be drier than usual, and coming on top of an unusually dry June, the scenarios for water availability and for agriculture come early September are all looking tough.

Arunachal Pradesh district rainfall for three weeks

The volatility of the 2012 monsoon over north-eastern India can be seen in the images of the district weekly rainfall deviations for those states. Please bear in mind that with the late beginning of the 2012 monsoon, the week of June from 07 to 13 was for all practical purposes the first monsoon week. The colours signify major deviations – red for 50% of the average and below, green for 150% of the average and above. In Arunachal Pradesh, for the first week the average rainfall in districts was around 45%, the second week it was 41% and the third week it shot up to 124% – red is evenly scattered through the districts in the first two weeks and green districts appear in the third week.

Assam districts rainfall for three weeks

In Assam, the first week’s average for all the state’s districts was 65% of the long period average, with red dominating. In the second week the average was 103%, with ‘red’ districts declining and a few greens appearing. In the third week the average zoomed to 184% with most districts being ‘green’. In neighbouring Meghalaya, the average for the districts in the three weeks was 63%, then 51% and then a steep rise to 225% in the third week. In stark contrast Nagaland and Manipur have for the duration of these three weeks seen a combined district rainfall average of 33% and if we remove the ‘green’ districts from both states of the third week, we get a dismal 15% average – it is of course quite likely that there are data anomalies in the numbers that IMD has collected from the north-east region, as automated weather stations that actually work are likely to be fewer in number than in ‘mainland’ India. (There is a spreadsheet for this data. If you want the data till date please write to me here: makanaka at pobox dot com.)

The first three weeks of monsoon 2012 in district averages for Nagaland, Manipur, Mizoram and Meghalaya

In the update, there is also a separate set of forecasts and probabilities for four major regions of India – North-West India, Central India, South Peninsula and North-East India. There are small variations for each of these in the definitions of below normal, normal and above normal. Here are the forecast probabilities for the regions:

The list of states in each of these four geographical regions is:
Northwest India: Jammu and Kashmir, Himachal Pradesh, Punjab, Rajasthan, Haryana, Chandigarh, Delhi, Uttaranchal and Uttar Pradesh.
Northeast India: Arunachal Pradesh, Meghalaya, Assam, Nagaland, Manipur, Mizoram, Tripura, Sikkim, West Bengal, Bihar and Jharkhand.
Central India: Gujarat, Madhya Pradesh, Chattisgarh, Maharashtra, Goa and Orissa.
South Peninsula: Andhra Pradesh, Karnataka, Tamil Nadu, Kerala, Lakshadweep and Andaman and Nicobar Islands.

Alarming reds and yellows over southern, central and northern India, threatening blues in north-eastern India (Bangladesh has been hit hard by floods). Graphic: IMD

The first stage forecast for the nation-wide season rainfall was issued on 2012 April 26 and this update was issued on 2012 June 22. The summary of the first stage forecast is:

“Southwest monsoon seasonal rainfall for the country as a whole is most likely to be Normal (96-104% of Long Period Average (LPA)) with the probability of 47%. The probability (24%) of season rainfall to be below normal (90-96% of LPA) is also higher than its climatological value. However, the probability of season rainfall to be deficient (below 90% of LPA) or excess (above 110% of LPA) is relatively low (less than 10%). Quantitatively, monsoon season rainfall is likely to be 99% of the LPA with a model error of ± 5%. The LPA of the season rainfall over the country as a whole for the period 1951-2000 is 89 cm.”

The IMD has said that it has taken into account the experimental forecasts prepared by the national institutes like Space Applications Centre, Ahmedabad, Centre for Mathematical Modeling and Computer Simulation, Bangalore, Center for Development of Advanced Computing, Pune and Indian Institute of Tropical Meteorology, Pune. Operational/experimental forecasts prepared by international institutes like the National Centers for Environmental Prediction, USA, International Research Institute for Climate and Society, USA, Meteorological Office, UK, Meteo France, the European Center for Medium Range Weather Forecasts, UK, Japan Meteorological Agency, Japan Agency for Marine-Earth Science and Technology, Asian-Pacific Economic Cooperation (APEC) Climate Centre, Korea and World Meteorological Organization’s Lead Centre for Long Range Forecasting – Multi-Model Ensemble have also been taken into account.

Quiet numbers tell district tales – rural and urban India, part 6

In north-east Mumbai (Bombay), open land under high-tension cables becomes a place for many cricket games on a Sunday afternoon.

Census 2011 also informs both the incumbent ‘sirkar’ and us that there are 22 districts in which literacy rates for the rural female population are above 74% (all 14 of Kerala’s districts are included). However, it is in the next 10% range of literacy rates – 74% to 64% – that gains since the 2001 census must be protected and this set includes 82 districts. It is a widely dispersed set, comprising districts from 21 states and union territories.

There are 11 from Maharashtra (including Sangli, Bhandara and Gondiya), 9 from Punjab (including Kapurthala, Gurdaspur and Sahibzada), 7 from Orissa (including Jagatsinghpur, Kendrapara and Bhadrak), 7 also from Himachal Pradesh (including Una, Kangra and Solan), 6 from Tamil Nadu (including Thoothukkudi and Nagapattinam) and 5 from Gujarat (including Navsari and Mahesana).

In the background, some of the most expensive office space in the world, Mumbai's Nariman Point business district. In the foreground, temporary shanties on the beach.

The Office of the Registrar General of India, which administers the Census, has cautioned that all the data releases so far are still provisional figures. However, the implications are now plain to see, and give rise to a set of socio-economic questions which demographic and field research over the 12th Plan Period (2012-17) will enlarge and expand upon. Is there for example a correlation between districts whose rural populations have unfavourable female to male gender ratios and districts in which female literacy ratios are low? Comparing the bottom 100 districts under both conditions shows that there are only 12 districts in which both conditions are present (5 in Uttar Pradesh, 2 in Rajasthan, and 2 in Jammu & Kashmir).

A valley in the western hills of Maharashtra state in summer, exhibiting denuded hillsides and scant grazing for shepherds. From villages such as this one, youth and families make their way to the cities.

Most encouraging is that there are 40 districts in which the ratio of the number of literate females to literate males (this is a different ratio from literacy rate), is 0.90 or better, ie there are 900 or more literate females to 1,000 literate males. In this set are all Kerala’s 14 districts but also 13 districts from the Northeast (from Arunachal Pradesh, Meghalaya, Mizoram and Nagaland).

The remainder are from island Union Territories, from the southern states (3 from Karnataka, 2 from Andhra Pradesh and one each from Tamil Nadu and the Union Territory of Puducherry), from hill states (2 from Uttarakhand, 2 from Himachal Pradesh) and one from Maharashtra. It is these districts that provide abundant reason for the allocation of a minimum 6% of GDP allocation for education – a long-standing commitment – which must begin to be fulfilled in the 2012-17 Plan period.

Thane district, north of the Mumbai metropolitan region, has experienced one of the fastest growths in population in India over the last decade.

How will the Government of India consider these early indicators from Census 2011? How will India’s civil society and the great breadth of organisations – voluntary groups, people’s movements, rural foundations and the like – which have been delivering development ‘outcomes’, year after year, without the benefit of budgetary support but motivated by the plain fact that inequity still exists, how will this group see these indicators?

The Government of India revels in presenting contradiction as a substitute for careful, evidence-based and inter-generational planning. When downward trends – such as those seen in female illiteracy and in the gender ratios of the 0-6 age-group – have been slow over the last 25 years, there is a need to set long-term objectives that are not tied to the end of the next available Plan period, but which use a Plan direction to help achieve them. In this, the Approach Paper to the 12th Five-Year Plan has failed quite signally, because its authors have not drawn the only possible conclusions from the Census 2011 data presented till date. Yet others have done so, notably India’s civil society and its more responsive group of academics. Hence the abundance of contradictions in all major documents – the Approach Paper being the most important, annual Economic Surveys being another type – which seek to reassure one section while in fact underwriting the ambitions of another.

Rural labour pitches camp. Mobile populations such as this one move from more disadvantaged districts to less, as even intermittent agricultural wages and harsh living conditions are better than debt.

So we see that a state which must ensure provision of Right to Education to every child up to the age of 14 years, because it is constitutionally bound to do so, complains in the planning phase itself that scarce resources constrain it from carrying out its duties and therefore advises its citizens that measures like public-private partnership (PPP) should be resorted to. How will such cunning better the lives and present culturally relevant opportunities for the rural populations in the remaining 591 districts which are under the 0.90 ratio for literate females to literate males? What will the emphasis on vocational training (for the urban job pools) instead of people’s empowerment mean for the rural populations in 403 districts where this ratio is less than 0.75 – which means the number of literate rural females is under three-fourths the number of literate males – and in 69 of these districts it is even under 0.60 (25 in Rajasthan, 14 in Uttar Pradesh, 9 in Madhya Pradesh, 6 in Jammu and Kashmir)?

[This is the sixth of a small series of postings on rural and urban India, which reproduces material from my analysis of Census 2011 data on India’s rural and urban populations, published by Infochange India. See the first in the series here; see the second in the series here; see the third in the series here; see the fourth in the series here; see the fifth in the series here.]

Quiet numbers tell district tales – rural and urban India, part 5

Teenager on a bicycle in rural Maharashtra, western India. At the current rate of migration from rural districts to urban centres, this youth may not stay in the farm labour pool for much longer.

What effect has this imbalanced ratio, so common in the rural populations of districts, on literacy and education? Census 2011 has told us so far that there are 55 districts in which the rural literacy rate is 74% or higher — this is the national effective literacy rate (for the population that is seven years old and above) which is a figure derived from rural and urban, male and female literacy rates. The literacy rates in these 55 districts are for all persons, female and male together. They range from 74% to 89%. All 14 of Kerala’s districts are among the 55, there are 7 districts from Maharashtra, 5 from Tamil Nadu, and 4 each from Mizoram, Orissa and Himachal Pradesh.

A lorry driver poses with his cargo, new tractors. The depletion of agricultural labour has turned agricultural machinery a fast-growing industrial sector. Worryingly for India, government planners see capital used for machinery and industrial agriculture as evidence of 'growth'. But food security remains uncertain for many rural communities.

The top 10 districts in this set are all from Kerala save one, East Delhi. But these 55 districts have returned literacy rates that will form the basis of study and analysis in the years to come, they are outnumbered, by a factor of more than 11 to 1, by districts whose rural populations lie under the 74% national mark, and this too will serve as an early indicator, continually updated, of the commitment of the Indian state to its implementation of the Right to Education (RTE) Act of 2009, and of the results of the first 10 years of the Sarva Shiksha Abhiyan.

Since its inception in 2001-02 the Sarva Shiksha Abhiyan (SSA) has been treated by the Government of India and the states as the main vehicle for providing elementary education to all children in the 6-14 age-group. Its outcome — this is how the annual and Plan period results of India’s ‘flagship’ national programmes are now described — is the universalisation of elementary education. The Right to Education Act (RTE) of 2009 gives all children the fundamental right to demand eight years of quality elementary education. For the planners in the Ministry of Human Resource Development, the effective enforcement of this right requires what they like to call ‘alignment’ with the vision, strategies and norms of the SSA. In so doing, they immediately run into a thicket of problems for, to begin with, there are half-a-million vacancies of teachers in the country, another half-million teachers are required to meet the RTE norms on pupil-teacher ratios, and moreover 0.6 million teachers in the public school system are untrained.

This is the creaking administrative set-up against which the total literacy rates of the 585 districts whose rural populations are under the 74% mark must be viewed. Of these, 209 districts have literacy rates for their rural populations which are between 50% and 60%. This set of districts includes 33 from Uttar Pradesh, 30 from Madhya Pradesh, 20 from Bihar, 18 from Jharkhand, 17 from Rajasthan, 13 each from Assam and Andhra Pradesh, and 9 from Karnataka. And finally, there are 95 districts whose literacy rates of the rural population are under 50%.

Low-cost housing in north Mumbai (Bombay). Colonies such as this are typical: unclean surroundings caused by an absence of civic services, minimal water and sanitation for residents, no route to remedy because of political and social barriers.

This set of districts at the bottom of the table includes 17 from Bihar, 14 from Rajasthan, 9 each from Uttar Pradesh and Jammu & Kashmir, 7 from Madhya Pradesh and 6 each from Orissa, Jharkhand, Chhattisgarh and Arunachal Pradesh. The districts of Yadgir (Karnataka), Purnia (Bihar), Shrawasti (Uttar Pradesh), Pakur (Jharkhand), Malkangiri, Rayagada, Nabarangapur, Koraput (all Orissa), Tirap (Arunchal Pradesh), Barwani, Jhabua, Alirajpur (all Madhya Pradesh), and Narayanpur, Bijapur and Dakshin Bastar Dantewada (all Chhattisgarh) are the 15 districts at the very base of the table with literacy rates of the rural population at under 40%.

Over 11 Plan periods there have been some cumulative gains in a few sectors. Today, in rural areas, seven major flagship programmes are being administered, with less overall coordination between them than is looked for – a contrast against the ease with which the central government’s major ministries collaborate on advancing the cause of the urban elite — but which nonetheless have given us evidence that their combined impact has improved the conditions of some.

A man transports an LPG cylinder, to be used as cooking fuel, to his home in a shanty colony in north Mumbai (Bombay). Already burdened by the high cost of petroleum products, slum-dwellers are forced to pay a premium for cooking fuels and water.

The seven programmes are: the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), the National Rural Livelihood Mission (NRLM), Indira Awas Yojana (IAY), the National Rural Drinking Water Programme (NRDWP) and Total Sanitation Campaign (TSP), the Integrated Watershed Development Programme (IWDP), Pradhan Mantri Grameen Sadak Yojana (PMGSY), and rural electrification which includes separation of agricultural feeders and includes also the Rajiv Gandhi Grameen Vidyutikaran Yojana (RGGVY).

For the local administrator these present a bewildering array of reporting obligations. A hundred years ago, such an administrator’s lot was aptly described by J Chartres Molony, Superintendent of Census 1911 in (the then) Madras: “The Village Officer, source of all Indian information, is the recorder of his village, and it well may be that amid the toils of keeping accounts and collecting ‘mamuls’, he pays scant heed to what he and his friends consider the idle curiosity of an eccentric sirkar.”

[This is the fifth of a small series of postings on rural and urban India, which reproduces material from my analysis of Census 2011 data on India’s rural and urban populations, published by Infochange India. See the first in the series here; see the second in the series here; see the third in the series here; see the fourth in the series here.]

Quiet numbers tell district tales – rural and urban India, part 4

Dense colonies of low-rise apartment blocks in north-eastern Mumbai (Bombay). These date from the 1980s and despite their disrepair are out of reach for some 60% of the giant city's population which live in 'upgraded' slums.

Dr C Chandramouli, Registrar General and Census Commissioner of India, presaged the insights that would be provided by new census data in his introduction to the first provisional paper on the 2011 Census: “It provides valuable information for planning and formulation of policies by the government and is also used widely by national and international agencies, scholars, business persons, industrialists, and many more. In addition, the Census provides a basic frame for conduct of other surveys in the country. Any informed decisionmaking that is based on empirical data is dependent on the Census.”

When taken together with the 355 districts whose rural populations are all a million and above, the implications of such a concentration of the 0-6-year-old population in talukas and tehsils (more than those in town wards) become manifold. An immediate rendering of this concentration will take place in the health sector for it is there that imbalances in public expenditure and budget have been most severe.

The change in literacy rates for India's states from 2001 to 2011, with the 0-6 year olds excluded. The colours are: red (75% and below), ochre (75-80%), yellow (80-85%), lime green (85-90%) and green (90% and above). Maps: Census of India 2011

The Government of India has time and again claimed that the 11th Five-Year Plan (2007-12) has sought to raise the share of public expenditure on health (both central and in the states) from less than 1% of GDP in 2006-07 to 2% and then 3%. For this, the National Rural Health Mission (launched in 2005) was intended to strengthen healthcare infrastructure in rural areas, provide more sub-centres, better staff and equip primary health and community health centres.

Census 2011 will, over the months to come, indicate the degree to which these lofty aims — often held up as evidence of the government’s commitment to social equity — have been met. To do this, the ratios will be layered between study outputs that bring out the insights of correlating large demographic data sets — district health services, the national family health survey, planned rounds of the National Sample Survey and, despite the defensible criticism levelled against it, the 2011 BPL survey. Within this dauntingly complex data framework will need to be placed the Plan targets relating to infant mortality rate, maternal mortality rate, total fertility rate, under-nutrition among children, anaemia among women and girls, provision of clean drinking water for all, and raising child gender ratio for the age-group of 0-6.

Where do the 640 districts and their rural populations lie on a simple child gender ratio scale? Ranked by female to male ratio within the 0-6 years category of population, the top 10% of all districts (that is, 64 districts) register a gender ratio of at least 0.97 and up to 1.01. The districts with the 20 most favourable female to male ratios for the 0-6 population are Dakshin Bastar Dantewada, Bastar, Bijapur, Koriya, Rajnandgaon, Narayanpur and Korba (all Chhattisgarh); Tawang, Papum Pare and East Siang (all Arunachal Pradesh); Nabarangapur and Malkangiri (Orissa); Lahaul and Spiti (Himachal Pradesh), Nawada (Bihar), Chandauli (Uttar Pradesh), Mamit (Mizoram), Pashchimi Singhbhum (Jharkhand), Tinsukia (Assam), South Andaman, and West Garo Hills (Meghalaya).

Vegetables being farmed on agricultural land between two city wards of Panaji (Goa). As the populations of smaller towns in India has risen, their footprint on cultivable land has grown.

Among the top 10% of districts with gender ratios for the 0-6 age group that are favourable to females, Chhattisgarh has 14 while Orissa, Meghalaya, Assam and Arunachal Pradesh have 6 each. These are considered, by their states and by the central government’s ministries and departments, to be ‘backward’ districts, tribal in character, lacking in infrastructure and below par in economic development (discounting for this index the proclivity of the state to steal natural resources in the commons, the better to convert it to GDP with). Yet the residents of these districts have proven, as the 2011 data so emphatically shows, that they practice an equality that is far closer to that enunciated in our Constitution than is to be found in the ranks of the million-plus cities.

Even so, the picture at the other end of the scale is a worrisome one. Within the 0-6 years category of the rural population of districts, there are 154 districts whose female to male ratio is less than 0.90, ie 9 girls or less for every 10 boys. In this large set of districts with unfavourable gender ratios amongst the rural population category of 0-6 years, the range of this ratio drops to 0.70 (the average gender ratio for this group of districts being 850 girls to 1,000 boys). There are 24 districts in UP in this set (out of the state’s 71 districts), 20 districts each in Punjab and Haryana (out of their totals of 20 and 21 respectively), 18 each in Rajasthan and Maharashtra (out of 33 and 35 respectively) and 14 in Jammu & Kashmir (out of 22).

[This is the fourth of a small series of postings on rural and urban India, which reproduces material from my analysis of Census 2011 data on India’s rural and urban populations, published by Infochange India. See the first in the series here; see the second in the series here; see the third in the series here.]

India’s unseen Niyamgiris

Cover, 'L'Inde - des tribus oubliées', photographed by Tiziana and Gianni Baldizzone

This remarkable book, ‘L’Inde – des tribus oubliées’, has been released in a 2008 edition, as I found in Paris, at a small book-seller’s near the Metro Opera.

Based on the work that went into the visually stunning 1993 edition by the photographer couple, Tiziana and Gianni Baldizzone, L’Inde – des tribus oubliées’ (‘India’s forgotten tribes’) contains rare photographs of the Dongria Kondh.

There’s more on the struggle of the Dongria Kondh here and here.

The Niyamgiri Hills form a mountain range in the Eastern Indian state of Orissa, and are home to more than 8,000 Dongria Kondh, whose lifestyle and religion have helped nurture the area’s dense forests and unusually rich wildlife.

At the centre of the struggle is the Dongria’s sacred mountain, Niyam Raja. The Dongrias worship the top of the mountain as the seat of their god and protect the forests there.

Medium de la tribu Kandha dans l'Orissa (montagnes Nimgiri)

Mining conglomerate Vedanta Resources wants to mine bauxite from the top of the same mountain.

If that is allowed by the government of India, the Dongria Kondh would lose their livelihood, their identity and the sanctity of their most religious site.

In common with other displaced tribal peoples worldwide, they would also lose their present good health, their self-sufficiency and their expert knowledge of the hills, forests and farming systems that they have nurtured.

‘L’Inde – des tribus oubliées’ with photographs by Tiziana and Gianni Baldizzone reminds us of the extraordinary richness of our tribal fabric and why no effort is too great to protect them and their ways of life.

The book contains a preface by Dominique Lapierre and the remarkable photographs rest upon authoritative text by Declan Quigley and Vinay Srivastava. See Éditions du Chêne for more on the book.

Jeunes filles bondas

Femme bonda parée de tous ses bijoux en perles, or et toile

Femme gadaba revenant du marché etportant un manteau de feuilles

Guerrier nishi (Arunachal Pradesh)