Directorate of Economics and Statistics is engaged in the collection, compilation, tabulation and publication of the socio economic data related to the state of Andhra Pradesh.
Agricultural Statistics covers Rainfall Statistics, Area Statistics comprising the data on Land Use, Area & Production and Yield Statistics of various crops produced in the state. For boosting the output of food grains, the Government of Andhra Pradesh is adopting a promising multi-pronged strategy.
The objective of the strategy is to make Andhra Pradesh self-sufficient in food grains and eventually the export possibilities. Directorate of Economics and Statistics is declared as State Agriculture Statistical Authority since ages.
The Director, Directorate of Economics and Statistics is designated by the Government as the Rainfall Registration Authority in the State. The state has a rain gauge in every mandal covering an area of 250 sq.kms. as against the IMD's requirement of a gauge per 500 sq.kms The daily rainfall report/ weekly rainfall report for week ending Wednesday of all mandals are computerized and are being submitted to the State Government everyday / Thursday.
The Directorate of Economics and Statistics is the State Agricultural Statistics Authority (SASA). The Agricultural Statistics system comprises census enumeration of each piece of land in the state and aggregating the area statistics (of all kinds) at various levels from village to the state. The Directorate has computerized the Agricultural Census Abstract to facilitate fast processing and retrieval of data at mandal level. Data on land use is being collected on nine-fold classification i) Forest, ii) Barren and Uncultivable Land, iii) Land put to non agricultural uses, iv) Permanent Pastures and other grazing lands, v) Miscellaneous tree crops groves not included in the Net Area Sown, vi) Cultivable Waste, vii) Other Fallow Lands, viii) Current Fallows and ix) Net Area Sown. Data on these uses of land are finalized at the end of the Rabi season every year. Data is also collected through the scheme of ' Timely Reporting of Agricultural Statistics' (TRAS) using sampling techniques and the forecast report indicates area and production of the important crops. The forecast are made on certain important crops according to a prescribed calendar.
To obtain objective estimates of average productivity per hectare and production of important food and non-food crops, crop estimation surveys are being carried out in A.P. in both Kharif and Rabi seasons. At present these surveys are being conducted to cover eleven principal food crops viz., Rice, Jowar, Bajra, Maize. Ragi, Korra, Red gram, Green gram, Black gram, Horse gram & Bengal gram and ten principal non-food crops viz., Groundnut, Sesamum, Castor, Sunflower, Chilies (red), Sugarcane, Cotton, Tobacco, Mesta and Soya been. A multistage stratified random sampling procedure with the mandal as the stratum, villages within the stratum as first stage units, the field in the selected village as the secondary unit of sampling and the plot of the specified size within the field as the ultimate unit of sampling has been adopted for carrying out these surveys. The sample size i.e. the total number of villages for each crop is so fixed at the state level as to give estimates of average productivity with a desired degree of precision at the state level. For conducting these surveys two Departments, viz., Statistical and Agriculture are involved and the experiments are shared by Statistical and Agriculture Departments by 50:50 basis.
The comprehensive crop insurance scheme is being implemented in Andhra Pradesh from 1985-86 onwards to provide financial support to the loanee farmers in the event of crop failure due to natural calamities. The Scheme is renamed as National Agriculture Insurance Scheme (NAIS) to include non-loanee farmers also from 2000-2001 onwards. The crops covered under the scheme are Rice, Jowar, Bajra, Maize, Red gram, Green gram, Black gram, Groundnut, Castor, Sunflower, Cotton, Chilies, Sugarcane and Onion. Mandal or group of mandals (in contiguity) having a minimum area of 5000 acres under a crop is constituted as an insurance unit and 12 or 18 experiments are planned respectively on each crop in these units. Unit wise estimates of average productivity of crops are supplied to General Insurance Corporation as per the cut off dates for each season. With the introduction of the crop insurance scheme the number of experiments has been increased to 28000 per annum, there by the precision of the estimates of average productivity at district/state level has also been increased.
Yield estimation surveys on Fruits and Vegetable Crops and perennial and orchard crops are being conducted by adopting the multistage stratified random sampling with two stage yield estimation procedure viz., the density of bearing trees per hectare and yield per bearing tree. The crops covered under the procedure are Mango, Coconut, Banana, Guava, Lemon, Batavia and Cashew nut. In addition to these orchard crops, yield estimation surveys are also conducted by following the procedures of general crop estimation surveys, on tomato, onion, turmeric, bhendi and brinjal crops. These surveys are shared by Statistical and Horticulture functionaries at primary level on 50:50 ratio. The Directorate releases agricultural statistics through two annual publications viz., an Outline of Agricultural Situation in A.P. and Season and Crop Report of A.P.
The Industrial Statistics are presented under two parts, viz.
The Annual Survey of Industries is being conducted in the country since 1959 under the provisions of collection of Statistics Act, 1953 and the Rules framed there under in 1959 by National Sample Survey Organization (FOD) under the guidance of Central Statistical Organization (IS Wing), Government of India through comprehensive schedules covering information on location, registration, fixed capital, invested capital, outstanding loans, number of workers, emoluments fuel consumed, total inputs, total output, depreciation, value added and net income. All the Factories registered under Sections 2m(i) and 2m(ii) of Factories Act, 1948 Bidi and Cigar Units employing 10 or more without Power registered under Bidi and Cigar Workers ( Condition of Employment) Act,1966 are covered on Sample basis every year. The main objective of the Annual Survey of Industries is to estimate the contribution of registered manufacturing industry to the "National Income" and also to build up a principal source of Industrial Statistics in the country. The data pertaining to selected factories is being supplied by the Central Statistical Organization (IS Wing), Kolkata to the Directorate of Economics and Statistics, Andhra Pradesh state for further verification and processing to generate the results as per the state requirement. Also the Directorate is publishing a report based on the processed results every year. The Directorate of Economics & Statistics brings out a report based on summary block at 2-digit level of industry classification for the state as well as for the districts. The Directorate of Economics & Statistics releases state level data on selected characteristics of the factories, viz., type of organization, type of ownership, initial year of production, size of capital and size of employment etc. The Directorate of Economics and Statistics has taken up Annual Survey of Industries, 2002-03 for the first time in the state on par with the Government of India by canvassing the same schedules of National Sample Survey Organization to arrive at the District level estimates.
Previously, the Directorate of Economics & Statistics used to collect monthly production data from 156 selected factories every month and work out monthly index of industrial production with base year, 1970. In view of the change in the industrial scenario during the last two decades, the 1970 base year has become not relevant to the present context. The Central Statistical Organization has advised the states to shift the base year to 1993-94 in line with the All India I.I.P. As per the guidelines of Central Statistical Organization, the Directorate of Economics & Statistics has selected the item basket and also the weighting diagram for the selected items as well as for the industrial groups and ultimately for the three sectors namely, 1) Mining and quarrying, 2) Manufacturing sector and 3) Electricity. The item basket for manufacturing sector contains 82 item groups. A total of 84 groups including Mining and Electricity sector factories have been selected for getting monthly production data for the purpose of I.I.P. The Directorate is working out I.I.P. with base year, 1993-94 from April, 1999 onwards and it is proposed to shift the base year from 1993-94 to 1999-2000 keeping in view of the guidelines to be received from the Government of India.
A Price is defined as the amount of money that has to be given up in a exchange for a certain quantity of goods and services. Data on movements of prices of a very important of the economic policy and they have great importance in the overall development of the economy in the country. The Price Statistics are extremely useful in a number of ways. It will be cleared in the following points.
1. Price Statistics are useful to the Government and the Private employees for adjusting wages and salaries of the employees.
2. Price data are needed to control prices of commodities.
3. Price data are needed in order to evaluate the terms of trade.
4. Price data reveal the inflationary and deflationary pressures and help in taking suitable corrective action.
5. These are useful in evolving a suitable price policy
The DES deals with collection, compilation and analysis of a wide variety of prices. These are
1) Daily Retail Prices of 6 Essential Commodities,
2) Weekly Retail Prices of 21 Essential Commodities,
3) Wholesale Prices of 40 Agricultural Commodities,
4) Agricultural Prices (Farm Harvest Prices)
5) Prices of Livestock & Livestock Products
6) Prices of Building Material
1) Wages of Agricultural and Non Agriculture Labour
2) Wages of Construction Labour
1) Consumer Price Index Numbers for Industrial Workers of both State & Central Series
Preparation of MANDAL GANANKA DARSHINI annually. It includes detail statistics on all important parameters of a MANDAL
Collection of Data relating to District Hand Book of Statistics from offices located in the Mandal.
Collection of Statistics relating to the core areas.
State domestic product popularly known as State Income is one of the important indicators of economic development. The estimates of the state domestic product at current and constant prices by industry of origin are prepared in four stages for every year. The four stages are advance estimates, quick estimates, provisional and revised estimates. These estimates are in constant demand for purposes of planning, assessment of the rate of development and determination of the share of central resources to be allocated to the State.
Economic classification of the state expenditure given in annual budgets of the state Government is made to classify State expenditures by their economic character (final outlays consisting of government consumption expenditure, wages and salaries, pensions and other consumption, and gross capital formation, transfer payments to the rest of the economy and financial investments and loans to the rest of the economy.) Functional classification of budgetary outlays is also made to show them according to the services or functions rendered. Income outlay account and also capital finance accounts are prepared every year in the section in respect of State Governments budgetary transactions, Zilla Parishads, Mandal parishads, grama panchayats, municipalities and state public sector undertakings separately as recommended by the Regional Accounts Committee set up by Government of India in 1976. Capital formation in all sectors of Andhra Pradesh economy is also estimated.
Related Macro Economic aggregates like, Capital Formation and Savings are also estimated. Estimates of Gross Fixed Capital Formation (GFCF) by type of industry, by type of institutions and by type of assets are compiled. It is one of the states in the country collecting the annual accounts from all the local bodies i.e., Zilla Parishads, Mandal Parishads, Muncipalities /Corporations, Grama Panchayats and analyzing annually to arrive Gross Value Added, Capital formation, consumption expenditure, savings etc., in the prescribed accounts of Income and outlay account & Capital Finance account. Annual accounts of Zilla Parishads and Municipalities are being analyzed at the state level by the Directorate of Economics and Statistics and Mandal Parishad and Gram Panchayat accounts are being finalized at district level by Chief Planning Officer District Panchayat Officer respectively
The National Sample Survey Office (NSSO) conducts large scale sample surveys since 1950 to fill up the data gaps required for computation of National Income and Macro Economic Aggregates at National and State Level. The A. P. state has been participating in Socio Economic Surveys on par with NSSO from NSS 14th round (1958) onwards to generate comparable estimates on matching sample basis. The surveys are carried out on Socio Economic subjects of national interest like Household consumer expenditure, Employment & Un-employment, Un-organized Manufacturing, Trade, & Other Services, Housing conditions, Disability, Morbidity and Health care and Education & IT etc. Every round covers normally of one year period, which will be divided in to 4 sub-rounds of 3 months duration.
The NSSO has been adopting a two stage stratified random sampling. The first stage units (FSU) are villages in rural sector and UFS blocks in urban sector, the Ultimate Stage Units are households/enterprises. The NSSO divided the state into regions by grouping contiguous districts based on population density and cropping pattern. In case of rural sector the district is bifurcated into two or more strata depending upon the size of population, where as for urban sector, strata are formed for each district for all Urban areas except for city/town having more than ten lakh population. Each city or town having more than ten lakh population will constitute separate strata.
Before taking up data collection work, multi-stage training programmes are conducted. All-India Training of Trainers (AITOT) is organized by NSSO to discuss the sampling design, schedules of enquiry and procedures for data collection. The officers who are trained at All-India Training in turn train the field functionaries at State Level and District level.
Well qualified and trained field officers/investigators of the State Governments collect information through interview method, using the uniform methodology and schedules that are specially designed for the survey. Various instruments, for example, inspection, scrutiny, super-scrutiny of filled-in schedules are used to monitor the fieldwork and to ensure the quality of data collected in the field. Collected data is processed state reports will be generated. Publicity measures will be taken up through pamphlets to increase the awareness about these surveys among the public/respondents.
The National Statistical Commission has constituted a committee under the chairman ship of prof. R.RadhaKrishna and the committee made certain recommendations on pooling of central and State sample data of NSS rounds.
The Objective of States Participation in the NSSO programme is to provide a mechanism by which sample size will be increased and the pooling of the two sets of data would enable better estimates at sub state level, particularly at district level.
The Pooling of Central and State sample data will increase the accuracy of the estimates.
To fill up the data gaps at State / Sub-state / District level.
It is also proposed to generate the following parameters for District level estimations after pooled the data.
1) Size of Workforce by tabulation category used in DDP
2) migration rate
3) 1) Average area of Land owned and possessed, 2) Irrigated area
4) Enrolment Rates
5) Expenditure Village amenities
6) Per Capita Fuel wood expenditure
7) Commodity wise Budget shares for rural and urban areas by considering item level share at NSS region level pooled estimate and group level share (food, non-food, total) at district level pooled estimate
8) Head Count Ratio
9) MPCE- of Top-20 , Bottom-20 and median MPCE
10) Average Monthly Per Capita Expenditure 1) Total, 2) Food, 3) Non food
11) Expenditure on health
12) % of Households having accounts in Bank, Post Office
13) % of Women Headed House holds
14) DEMOGRAPHY : - 1.Sex ratio, 2.Proportion of children 0-14, 3.Child dependency ratio, 4. % of age group above 59 years, 5. Adult dependency ratio, 6. literacy rates, adult literacy rates on Education
The A.P. State has increased the state sample size (double) to derive robust estimates as per the NSC recommendations and also increased demand to arrive robust estimates at sub-state / district level the State sample has been doubled from NSS 67th round onwards. Further to arrive reliable estimates at sub-state / district level the Pooling of Central and State sample data has been taken up from NSS 66th round onwards and Pooled reports released up to NSS 68th round. Draft report completed for NSS 69th round.
|Round No.||Year||Subject covered|
|66||2009-10||Household Consumer Expenditure Employment & Unemployment|
|67||2010-11||Un-incorporated Non-Agricultural Enterprises (Manufacturing Trade and other Services|
|68||2011-12||1.Household Consumer Expenditure
2.Employment & Unemployment
|69||2012||Drinking Water, Sanitation & Hygiene, Housing Conditions and Slums|
|70||2013||1. Land & Livestock Holdings,
2. Debt and Investments,
3. Situation Assessment survey of Agricultural Households
|71||2014||Social Consumption on Health and Education|
|72||2014-15||Domestic Tourism Expenditure, Household consumption of Services & Durable goods|