Archive for December 2016
As part of my continuing and long term study on the relation between populations both rural and urban, the land base upon which they depend for the growing of food, and the socio-economic changes taking place in our districts, I have begin an examination of how households are distributed in administrative regions, that is, districts and talukas. This graphed plot describes one kind of finding. (Click here for a full size plot that lets you explore each data point.)
States are administratively divided into districts (earlier the concept of a ‘division’, which was a group of districts, was more common – the ‘division’ is still used, for revenue determination but also for home affairs) and these are divided into talukas. How many talukas does the typical district have? Some have four, others as many as 12. There are talukas whose households are entirely rural as there is not a single census town, let alone a municipal council, within its precincts. The taluka contains villages and these can be numerous. Some talukas may have 50-60 villages whereas others may have 200 and more.
It is always an interesting matter to ponder. How did households in a small sub-region – at the confluence of a stream and a river for example or at the edge of a plain and at the margins of hills – become villages and what determined the distribution of such hamlets in a very local habitat? The factors were always environmental and there was often a strong cultural reason, such as proximity to a sacred site, a mandir or a venerated shrine, historical sites (such as those mentioned in the Ramayana and documented in detail thereafter in numerous local commentaries).
From the set of districts analysed so far a few guiding figures have emerged. The number of rural households in a taluka varies from 7,200 to 96,800; the number of villages in a taluka varies from 28 to 338; the average number of households in a village is 330; there is one urban household for every 3 rural households.
Where the agro-ecological conditions are favourable, there is to be found a denser gathering of villages and these will have larger populations. This can easily be understood. It is less clear how the toil of the households accommodated in a large number of villages are required to maintain, in many ways, urban households which are now clustered in a town or two of the same taluka. This dependence is what a study of not only the rural-urban population, but also how it is distributed within agro-ecological boundaries, can help uncover. The graphed plot included here is one step towards that understanding.
For the 21 larger states, this is the picture of how much average debt a cultivator household has incurred, and how many amongst cultivator households are in debt.
The data I have used for this chart are taken from the report, ‘Household Indebtedness in India’, which is based on the 70th Round of the National Sample Survey Office (NSSO), Ministry of Statistics and Programme Implementation, Government of India, and collected during January to December 2013.
The states are plotted on average debt of such households, in lakh rupees on the left scale, and the proportion of such households, as a percentage of all such households, on the horizontal scale. The size of the circles are relative and based on the amount of average debt.
The average amount of debt per cultivator household seen in this chart is for most of the 21 larger states, lower than the overall rural household average debt of Rs 1,03,457. However the cultivator household is one of six types of rural household (the categories are: self-employed in agriculture, self-employed in non-agriculture, regular wage/salary earning, casual labour in agriculture, casual labour in non-agriculture, others). About 31.4% of all rural households are in debt.
The chart shows that cultivator households in Punjab and Kerala carry the highest amounts of debt, and that a highest percentage of cultivator households carrying debt are in Telengana and Andhra Pradesh. There are two distinct groups. One group of nine states occupies the right and most of the vertical area of the chart. The second group is of 12 states clustered towards the lower left corner of the chart panel.
This difference describes regional variation. In the first group are all the southern states. In the second are all the eastern and central states. Madhya Pradesh, Gujarat, Uttar Pradesh and Uttarakhand cultivator households exhibit the greatest similarity, with average debt of under Rs 40,000 and with less than 35% of cultivator households carrying debt.
Bihar, West Bengal and Odisha are likewise similar, their average debt being less than Rs 20,000. Assam, Jammu and Kashmir, Chhattisgarh and Jharkhand cultivator households bear the lowest average debt and less than one in five of such households is in debt.
These are the broad brush strokes of debt amongst cultivator households in the 21 major states painted by the NSSO’s ‘Household Indebtedness in India’ report. A more detailed examination of such debt, and also the debt of the other kinds of rural households, will give us a deeper understanding of the subject.