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Posts Tagged ‘mobile phone

India Census 2011 – what they use in 330 million homes for light, cooking, drainage and phones

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The overview of the ‘Houselisting and Housing Census’ has been released by the Census of India 2011. Here are the main points and highlights, in mostly the language and with the focus given by the Census office:

The Census of India 2011 was conducted in two phases. The first phase, called the “Houselisting and Housing Census”, was undertaken a few months prior to the second phase termed as “Population Enumeration”.

The objective of the Houselisting and Housing Census Operations is to identify each building/census house and also to ascertain the quality of the census house, amenities accessible to it and assets available to the households living in those census houses.

The enumerators collected the information by visiting each and every household and canvassing a written questionnaire called the Houselist and Housing Schedule. In Census 2011, a period of 45 days was allotted for this purpose, between April 2010 to September 2010. Approximately 2.5 million enumerators and 200,000 supervisors were engaged for this operation. What made the exercise even more challenging was the fact that the information was collected on 35 items and 15 million Census Schedules were canvassed in 16 Indian languages.

The Houselisting and Housing Census shows that the census houses increased from 250 million to 330 million. There is an increase of 60 million census houses for residential and partly residential purposes. The data indicates that the housing gap has reduced. There is an improvement in the construction material used for roof, wall and floor. Thus there is a substantial improvement in the quality of housing both in rural and urban areas.

[You can get the xls file here.]

* Amenities available with the households – 87% of households are using tap, tube well, hand pump and covered well as the main source of drinking water while 43.5 percent use tap water. Only 47% of households have source of water within the premises while 36% of households have to fetch water from a source located within 500 m in rural areas/100 m in urban areas and 17% still fetch drinking water from a source located more than 500 m away in rural areas or 100 m in urban area.
* Main source of lighting – 67% households use electricity which shows an increase of 11pt over 2001. The rural-urban gap has reduced by 7 percentage points from 44% in 2001 to 37%.
* 58% of the households have a bathing facility within the premises, showing an increase of 22 pts over 2001.
* Around half the households have drainage connectivity with two-third have the open drainage and one-third have the closed drainage.
* 47% of the households have a latrine within premises, with 36% households having a water closet (WC) and 9% households having a pit latrine. There is an 11 pt decline in households having no latrine from 64% to 53% in 2011.
* 61% households have a kitchen with 55% having the kitchen within the premises and 6% outside. Two-third of the households are using firewood/crop residue, cow dung cake/coal etc. and 3% households use kerosene. There is an increase of 11 pts in use of LPG from 18% in 2001 to 29% in 2011.
* Communication – there is an increase of 16% in television and a corresponding decline of about 15 pt in use of radios/transistors. Less than 1 out of 10 households have a computer/laptop with only 3% having access to internet. The penetration of internet is 8% in urban as compared to less than 1% in rural area. 63% households have a telephone/mobile with 82% in urban and 54% in rural area. The penetration of mobile phone is 59% and landline is 10%.
* Transport – 45% of the household have a bicycle, 21% two wheelers and 5% four wheelers. There is an increase of 9 pt in two wheeler and 2 pt in four wheelers, with bicycle showing increase of 1 pt only. 59% of the households use banking facilities with 68% in urban and 54% in rural areas. The rural urban difference has reduced from 19 to 13 pt.
* 18% of the household do not have any of the specified assets.

Low-tech cellphones spread climate and jobs news

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I’ve been quoted on DailyClimate.org’s weekly feature about new and noteworthy developments on climate change. Editor Douglas Fischer wrote this in his 9 August despatch:

FM radio and cellular phones are fostering a rising awareness of climate impacts and mitigation in some of the globe’s remotest and most undeveloped regions. In Nepal, community radio has long been used to spread news about social issues. But lately the focus has shifted to climate change, said Pitambar Sigdel, a senior reporter for Annapurna Post, the national daily newspaper.

“They are playing some interesting roles,” she said via e-mail. “Local people are so much (more) conscious about the importance of forestry and natural resources” and are sharing information about reforestation and planting as a result. It also serves as an early warning system of sorts about landslides and other natural disasters, she said.

In rural Uganda, farmers use mobile telephones to pass along information about the impacts and control of climate change. In Malawi, Mudziwathu Community Radio finds listeners rely on text messages and laptops connected via Zain modems to communicate climate and environmental questions.

Of course, these informal networks are not just spreading environmental news. In India, particularly in urban settlements, the phone can be seen as an indicator of the uncertainty and fluidity of the modern job market. Rahul Goswami, who works with India’s National Agriculture Innovation Programme, said the spread of cheap mobile service has facilitated the creation of a cheap alert system for “tens of thousands of informal workers in towns and cities” that points those seeking work to spots where the next 50 or 100 rupees can be earned. “For South Asia, mobile phone usage shows how the informal worker tries to do her best to adapt to increasing uncertainty about both work and wage,” he said.

Low-tech approach spreads climate news in rural countries

Written by makanaka

August 17, 2010 at 19:55

India’s food price inflation in high gear

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There has been no shortage since November of news reports and analyses about the food inflation. The 19% annual rise in fact masks widespread individual urban centres’ price shocks and individual food item trends. I have tried to unpack the year-on-year ‘national’ food inflation number using data from the Ministry Of Consumer Affairs, Food and Public Distribution – Department Of Consumer Affairs (Price Monitoring Cell). My guess is that this data is an under-estimate but is useful for spotting trends.

I collected prices for the 36 cities tracked by the PM Cell, monthly from 2007 December. Based on a small basket of staples (rice, wheat, atta, tur dal, sugar, gud, tea, milk, potato, onion, salt) a crude index shows that in 33 out of 36 cities, the 24 month (07 Dec to 09 Dec) rise in prices of items in this basket is more than 24%, and that in 23 cities it is more than 50%.

Food inflation 2009 over 2007 in Indian cities

Food inflation 2009 over 2007 in Indian cities

About price increases in rural settlements I can find no organised information at all, although direct experience in western Maharashtra, Karnataka and Goa tells me that a staples basket can cost up to 2-3% more than in urban areas. (Agmarknet collects and maintains detailed mandi prices for farm produce but there is no comparable effort for rural retail food staples.)

The National Sample Survey 61st Round (2004 July-2005 June) on ‘Household Consumer Expenditure in India’ put down the finding that out of every rupee that the average rural Indian spent on household consumption, 55 paise was spent on food and mainly:
18 paise was spent on cereals
8 paise on milk & milk products
6 paise on vegetables
5 paise on sugar, salt & spices
5 paise on beverages, refreshments, processed food, purchased cooked meals, etc

Of the non-food expenditure 10 paise was spent on fuel for cooking and lighting.

I have tried to maintain this weightage in my calculation, but it is really no more than a crude reckoning because I haven’t been able to spend the time to clean up the publicly available data – querying the website database of Dacnet (Dept of Agriculture and Cooperation) or FCAMin returns report formats that are terribly messy, even though they contain useful data. (Although I think there may be differences even between these for the same foods and same date ranges.)

Based on what I have seen and heard on the field in Karnataka, Goa and western Maharashtra (and learnt about Gujarat and eastern UP from others) the available food basket seems to be shrinking (the so-called ‘coarse’ cereal group is conspicuously less), and where families have young and teenaged children there is pressure to buy processed and packaged snack foods (which is really a blight in our small rural markets). There are all sorts of oddities about the form that food takes in these markets – the price of a 50 gram pack of biscuits for example (Parle Glucose is the standard) has hardly moved in the last 3-4 years yet at the same point-of-purchase end, look at the way the prices of ground wheat have moved.

Then there’s fuel and transport to account for, more about which you’ll find here. This question needs much more work in 2010 to strengthen some of the reliable data we have with updates, and to try to build in what we see and hear and sense from conversations with those who live and work in all those tahsils and talukas and blocks and mandals. I feel very strongly that we are lacking in our data the presence and impact of the many linkages that connect and influence the rural farming/labour household. Many of the measures we have have served us well but I think need to be supplemented – how to integrate the lessons and findings from the comprehensive National Family Health Survey, the Sarva Shiksha Abhiyan, the many studies into the income-providing measures of NREGA.

Even though we worry about what the rural/urban poor household must spend on, the attraction to buy mobile phones amazes me. I have met young men who earn around Rs 4,000 a month but who have bought Samsung mobile phones costing Rs 5,000! Imagine spending more than a month’s income on a phone, I asked them, but they saw nothing worrying about their expenditure. Retailers who sell mobile phones used to keep the low cost and hardy Nokia phones which 3 years ago cost around Rs 1,700-1,800 (mine is still working), but not any longer, or they work at discouraging those who ask for the relatively cheaper phones. Much more than the hundred-dollar laptop we need the thousand-rupee mobile phone.

The image is of a chart I made for the project group I work with (part of the National Agricultural Innovation Project, it’s called Agropedia and you can read more about it here). This chart helps point to some patterns (you can download the hi-res image here). I’m curious for example about Gujarat, whose grain and commodity traders have a long and murky history of hoarding. The North-Eastern cities could be insulated to some extent from the regional transport subsidy (road and rail). Cities in the Deccan are relatively better off than North Indian cities. The big difference between Chandigarh and Mandi is puzzling.

In his hugely interesting paper, ‘India And The Great Divergence: Assessing The Efficiency Of Grain Markets In 18th and 19th Century India‘, Roman Studer (University of Oxford, Discussion Papers in Economic and Social History, Number 68, November 2007) has written: “Prior to the mid-nineteenth century, the grain trade in India was essentially local, while more distant markets remained fragmented. This is not to say that no grain was traded over longer distances, but the extent was very limited, as the prices from some 36 cities all over India still exhibited various characteristics of isolated markets.”

“First, annual price fluctuations were extremely high. Second, differences in price levels between markets were very pronounced and persisted until well into the nineteenth century. Third, apart from neighbouring villages or cities, price series from different markets did not show comovements at all.” Studer looked at century-old data, but we still have 36 cities to tell us about staple food retail prices! Also, the three characteristics he mentions can be seen today too.

Happy New Year!