This data comes from Unédic's 2023 Corporate Social Responsibility Report. They concern the types of contracts, working time, turnover, overtime, age and seniority, nationality, occupational category and absenteeism rate of Unédic employees.

Staffing data shall be established as at 31 December of the year in question.

Non-traditional data signals from social media and employment platforms for RCVGS stock analysis

Non-traditional data signals from social media and employment platforms for RRVAS stock analysis

Abstract

Bangladesh Bureau of Statistics (BBS) has initiated the labor force survey on a quarterly basis, to measure the levels and trends of employment, unemployment and labor force in the country on a continuous basis. In the past, labor force surveys conducted at four-five yearly time intervals since 1980.

Detailed information on labor force characteristics has been collected from representative sample of 123 thousand households to produce gender disaggregated national and divisional level estimates with urban/rural/city corporation breakdown. The survey also provides quarterly representative results and sample size for each quarter was 30,816 households. The survey, along with the quantification of core variables, also estimates important attributes of literacy, migration, own use production of goods and own use provision of services, volunteer work, occupational safety and health etc. The estimates are profiled according to latest classifications viz Bangladesh Standard Industrial Classification (BSIC 2009 based on ISIC rev-4) and Bangladesh Standard Classification of Occupations (BSCO- 2012 in line with ISCO-2008).

The primary objective of the survey was to collect comprehensive data on the Labor Force, employment and unemployment of the population aged 15 or older for use by the Government, international organizations, NGOs, researchers and others to efficiently provide targeted interventions. Specific objectives of the survey: - Provide relevant information regarding the characteristics of the population and household that relate to housing, household size, female-headed households; - Provide detailed information on education and training, such as literacy, educational attainment and vocational training; - Provide relevant information on economic activities and the labor force regarding the working-age population, economic activity status and Labor Force participation; - Provide detailed information on employment and informal employment by occupation and industry, education level and status in employment; - Provide relevant information on unemployment, the youth labor force participation, youth employment, and youth unemployment; - Provide other information on decent work regarding earnings from employment, working hours and time-related underemployment, quality and stability of employment, social security coverage, and safety at work, equal opportunities; - Provide relevant information on non-economic activities, volunteer activities etc.

Geographic coverage

National coverage

Analysis unit

• Individual
• Household

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The quarterly Labor Force Survey 2016-17 questionnaire comprised of 14 sections:

Section 1. Household basic information Section 2. Household roster (members' basic information) Section 3. General education (for persons aged 5 years or older) & vocational training (for persons aged 15 years or older) Section 4. Working status (for persons aged 15 years or older) Section 5. Main activities (for persons aged 15 years or older) Section 6. Secondary activities (for employed persons aged 15 years or older) Section 7. Occupational safety and health within the previous 12 months (for persons aged 15 years or older) Section 8. Time-related underemployment (for employed persons aged 15 years or older) Section 9. Unemployment (for not employed persons aged 15 years or older) Section 10. Own use production of goods (for persons aged 15 years or older) Section 11. Own use provision of services (for persons aged 15 years or older) Section 12. Unpaid trainee/apprentice work (for persons aged 15 years or older) Section 13. Volunteer work (for persons aged 15 years or older) Section 14. Migration (for persons aged 15 years or older)

Cleaning operations

Editing and processing errors, several consistency checks were done, both manually and computerized program using CSPro; batch editing was done using Stata, to ensure the quality and acceptability of the data produced. The non-sampling error is to ensure high quality data, several steps were taken to minimize non-sampling errors. Unlike sampling errors, these errors cannot be measured and can only be overcome through several administrative procedures. These errors can arise as a result of incomplete survey coverage, frame defect, response error, non-response and processing errors such as during editing, coding and data capture.

Sampling error estimates

Sampling error is a result of estimating data based on a probability sampling, not on census. Such error in statistics is termed as relative standard error and often denoted as RSE which is given in percentage. This error is an indication to the precision of the parameter under study. In other words, it reflects the extent of variation with other sample-based estimates. Sampling errors of estimates on a few important variables at national levels are calculated separately as shown in the annex. For example, the labor force participation rate at the national level was 67.0 per cent with an RSE of 0.23 per cent and standard error (SE) of 0.16 per cent. At 95 per cent confidence interval (a = 0.05), the labor force participation rate was in the range of 66.69-67.31 per cent.

Non-traditional data signals from social media and employment platforms for RSMSS stock analysis

Abstract

This is the fourth Labor Force Survey of Tonga. The first one was conducted in 1990. Earlier surveys were conducted in 1990, 1993/94, and 2003 and the results of those surveys were published by the Statistics Department.

The objective of the LFS survey is providing information on not only well-known employment and unemployment as well as providing comprehensive information on other standard indicators characterizing the country labour market. It covers those age 10 and over in the whole Kingdom. Information includes age, sex, activity, current and usual employment status, hours worked and wages and in addition included a seperate Food Insecurity Experiences Survey (FIES) questionniare module at the Household Level.

The conceptual framework used in this labour force survey in Tonga aligns closely with the standards and guidelines set out in Resolutions of International Conferences of Labour Statistician.

Geographic coverage

National coverage.

There are six statistical regions known as Division's in Tonga namely Tongatapu urban area, Tongatapu rural area, Vava'u, Ha'pai, Eua and the Niuas.Tongatapu Urban refers to the capital Nuku'alofa is the urban area while the other five divisions are rural areas. Each Division is subdivided into political districts, each district into villages and each village into census enumeration areas known as Census Blocks. The sample for the 2018 Labour Force Survey (LFS) was designed to cover at least 2500 employed population aged 10 years and over from all the regions. This was made mainly to have sufficient cases to provide information on the employed population.

Analysis unit

• Households (for food insecurity module questionnaire)
• Individuals.

Universe

Population living in private households in Tonga. The labour force questionnaire is directed to the population aged 10 and above. Disability short set of questions is directed to all individuals age 2 and above and the food insecurity experience scale is directed to the head of household.

Kind of data

Sample survey data [ssd]

Sampling procedure

2018 Tonga Labour force survey aimed at estimating all the main ILO indicators at the island group level (geographical stratas). The sampling strategy is based on a two stages stratified random survey.

1. Computation of the survey parameters: Total sample size per strata, number of households to interview in each Primary Sampling Unit (PSU = census block) and number of PSUs to select The stratification of the survey is the geographical breakdown by island group (6 stratas Tongatapu urban, Tongatapu rural, Vava'u, Ha'apai, 'Eua, Niuas)
2. The selection strategy is a 2 stages random survey where: Random selection of census blocks within each
3. Census blocks are randomly selected in first place, using probability proportional to size

4. 15 households per block are randomly selected using uniform probability

5. The sampling frame used to select PSUs (census blocks) and household is the 2016 Tonga population census.

The computation of sample size required the use of: - Tonga 2015 HIES dataset (labour force section) - Tonga 2016 population census (distribution of households across the stratas) The resource variable used to compute the sample size is the labour force participation rate from the 2015 HIES. The use of the 2015 labour force section of the Tonga HIES allows the computation of the design effect of the labour force participation rate within each strata. The design effect and sampling errors of the labour force participation rate estimated from the 2015 HIES in combination with the 2016 household population distribution allow to predict the minimum sample size required (per strata) to get a robust estimate from the 2018 LFS.

Total sample size: 2685 households Geographical stratification: 6 island groups Selection process: 2 stages random survey where census blocks are selected using Probability Proportional to Size (Primary Sampling Unit) in the first place and households are randomly selected within each selected blocks (15 households per block) Non response: a 10% increase of the sample happened in all stratas to account for non-response Sampling frame: the household listing from the 2016 population census was used as a sampling frame and the 2015 labour force section of the HIES was used to compute the sample size (using labour force participation rate.

Sampling deviation

No major deviation from the original sample has taken place.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2018 Tonga Labour Force Survey questionnaire included 15 sections:

IDENTIFICATION SECTION B: INDIVIDUAL CHARACTERISTICS SECTION C: EDUCATION (AGE 3+) SECTIONS B & C: EMPLOYMENT IDENTIFICATION AND TEMPORARY ABSENCE (AGE 10+) SECTION D: AGRICULTURE WORK AND MARKET DESTINATION SECTION E1: MAIN EMPLOYMENT CHARACTERISTICS SECTION E2: SECOND PAID JOB/ BUSINESS ACTIVITY CHARACTERISTICS SECTION F: INCOME FROM EMPLOYMENT SECTION G: WORKING TIME SECTION H: JOB SEARCH SECTION I: PREVIOUS WORK EXPERIENCE SECTION J: MAIN ACTIVITY SECTION K: OWN USE PRODUCTION WORK FOOD INSECURITY EXPERIENCES GPS + PHOTO

The questionniares were developed and administered in English and were translated into Tongan language. The questionnaire is provided as external resources.

The draft questionnaire was pre-tested during the supervisors training and during the enumerators training and it was finally tested during the pilot test. The pilot testing was undertaken on the 27th of May to the 1st of June 2018 in Tongatapu Urban and Rural areas. The questionnaire was revised rigorously in accordance to the feedback received from each test. At the same time, a field operations manual for supervisors and enumerators was prepared and modified accordingly for field operators to use as a reference during the field work.

Cleaning operations

The World Bank Survey Solutions software was used for Data Processing, STATA software was used for data cleaning, tabulation tabulation and analysis.

Editing and tabulation of the data will be undertaken in February/March 2019 in collaboration with SPC and ILO.

Response rate

A total, 2,685 households were selected for the sample. Of these existing households, 2,584 were successfully interviewed, giving a household response rate of 96.2%.

Response rates were higher in urban areas than in the rural area of Tongatapu.

-1 Tongatapu urban: 97.30%
-2 Tongatapu rural: 93.00%
-3 Vava'u: 100.00% -4 Ha'pai: 100.00% -5 Eua: 95.20% -6 Niuas: 80.00% -Total: 96.20%.

Sampling error estimates

Sampling errors were computed and are presented in the final report.

The sampling error were computed using the survey set package in Stata. The Finite Population Correction was included in the sample design (optional in svy set Stata command) as follow: - Fpc 1: total number of census blocks within the strata (variable toteas) - Fpc 2: Here is a list of some LF indicators presented with sampling error

-RSE: Labour force population: 2.2% Employment - population in employment: 2.2% Labour force participation rate (%): 1.7% Unemployment rate (%): 13.5% Composite rate of labour underutilization (%): 7.3% Youth unemployment rate (%): 18.2% Informal employment rate (%): 2.7% Average monthly wages - employees (TOP): 12%.

-95% Interval: Labour force population: 28,203 => 30,804 Employment - population in employment: 27,341 => 29,855 Labour force participation rate (%): 45.2% => 48.2% Unemployment rate (%): 2.2% => 3.9% Composite rate of labour underutilization (%): 16% => 21.4% Youth unemployment rate (%): 5.7% => 12.1% Informal employment rate (%): 44.3% => 49.4% Average monthly wages - employees (TOP): 1,174 => 1,904.

Non-traditional data signals from social media and employment platforms for RARHS stock analysis

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above. All electricity undertakings engaged in generation, transmission and distribution of electricity registered with the Central Electricity Authority (CEA) were covered under ASI irrespective of their employment size. Certain servicing units and activities like water supply, cold storage, repairing of motor vehicles and other consumer durables like watches etc. are covered under the Survey. Though servicing industries like motion picture production, personal services like laundry services, job dyeing, etc. are covered under the Survey but data are not tabulated, as these industries do not fall under the scope of industrial sector defined by the United Nations. Defence establishments, department undertakings, oil storage and distribution depots, restaurants, hotels, café and computer services and the technical training institutes, etc. are excluded from the purview of the Survey.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Complied from factory records

Sampling procedure

Sampling design adopted from ASI 2004-05 to ASI 2006-07.

i) Units with 100 or more workers will be categorized as census sector and the rest of the units will be treated as sample sector, without any change in the existing criteria; ii) In the sample sector, the units will be stratified at 4 digit level of NIC-04 in each State separately and 1/5th of the units in each strata will be selected circular systematically for coverage in each ASI subject to a minimum sample size of 6 units in each stratum; iii) This design will ensure that the whole universe of units is covered in five years; iv) The classification of the units in the frame into census and sample sectors should be done in the beginning of the 5-year cycle and it should not be disturbed during the course of the cycle; v) At the end of the cycle when the data on the all the units in the frame become available the frame should be updated and then the composition of census and sample sector should be re-drafted; vi) In respect of the new units getting registered each year of the last 4 years in the 5-year cycle, a supplementary frame has to be prepared for each year and units for coverage from this supplementary frame of each year may be selected using the same criteria as was applied to the main frame.

A new sampling design was adopted for ASI 2007-08.

For ASI 2007-2008, the Census Sector has been defined as follows:
All industrial units belonging to the five less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns. c) Strata (State by 4-digit of NIC-04) having less than or equal to six units after selecting the Census Sector units as defined above are also selected as census sector. d) From the remaining merged frame (main frame 2004-05 plus supplementary frame 2005-06 plus supplementary frame 2006-07 plus supplementary frame 2007-08), samples were drawn considering higher allocation for states having relatively higher percentage contribution in sample sector in terms of GVA based on last 2 (two) years' available data. Accordingly, state wise census and sample sector contribution of GVA was calculated based on last two years' available data along with the RSE of GVA estimates in sample sector based on data of ASI 2005-06. In general, sampling fraction of 12% was considered for all the states within a StateXSectorX4-digit NIC with a minimum of 6 units evenly distributed in two sub-samples, except (i) Jammu & Kashmir, Himachal Pradesh, Chandigarh, Madhya Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa with 20% sampling fraction, (ii) Delhi & Rajasthan with 13% sampling fraction, (iii) Bihar & Pondicherry with 15% sampling fraction due to relatively higher contribution of sample sector to the total GVA and higher RSE.

Sampling deviation

The sampling design has undergone changes in the past on several occasions.

Mode of data collection

Statutory return submitted by factories

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Data submitted by the factories undergo manual scrutiny at different stages.

1) They are verified by field staff of NSSO from factory records.

2) Verified returns are manually scrutinized by senior level staff before sending to data processing centre.

3) At the data processing centre these are scrutinized before data entry.

4) The entered data are subjected to computer editing and corrections.

5) Tabulated data are checked for anomalies and consistency with previous results.

Non-traditional data signals from social media and employment platforms for RPNKS stock analysis

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:- "Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1994-95 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

a) CENSUS : To keep pace with the enormous growth of the factory sector, definition of the census sector was changed from ASI 1987-88 to the units having 100 or more workers irrespective of their operation with or without power and all electrical undertakings. All industrial units belonging to the 12 less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura, Sikkim and Andaman & Nicobar Islands etc.
b) The rest of of the universe was covered on sampling basis so as to cover all the units in a span of three years. In any stratum, if the number of units was less than 20, then the entire stratum was enumearted completely along with census factories. In any stratum if no. of unit is between 21 & 60, a minimum sample of size 20 was selected by Circular Systematic Sampling. For all other units a uniform sampling fraction of 1/3 was adopted.

Sampling deviation

There was no deviation from sample design in ASI 1994-95

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK1/2/16 : RECORD TYPE 011 : IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK 4 : RECORD TYPE 011 : SCHEDULE OF FIXED ASSETS BLOCK 4A : RECORD TYPE 011 : EMPLOYMENT AND LABOUR COST BLOCK 5 : RECORD TYPE 011 : SCHEDULE OF WORKING CAPITAL AND LOANS
BLOCK 6 : RECORD TYPE 011 : WORKING DAYS AND SHIFTS BLOCK 7 : RECORD TYPE 011 : EMPLOYMENT BLOCK 8 : RECORD TYPE 011 : LABOUR COST (INCLUDING FOR CONTRACT LABOUR) BLOCK 9 : RECORD TYPE 011 : FUELS, ELECTRICITY AND WATER CONSUMED (EXCLUDING INTERMEDIATE PRODUCTS) BLOCK 10 : RECORD TYPE 011 : OTHER EXPENDITURE BLOCK 11 : RECORD TYPE 011 : OTHER OUTPUT/RECEIPTS BLOCK 12 : RECORD TYPE 011 : ELECTRICITY BLOCK 13 : RECORD TYPE 011 : MATERIALS CONSUMED BLOCK 13 A : RECORD TYPE 011 : INPUT ITEMS (indigenous items consumed) BLOCK 13 B : RECORD TYPE 011 : INPUT ITEMS – directly imported items only (consumed) BLOCK 14 : RECORD TYPE 011 : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK 14 A : RECORD TYPE 011 : DISTRIBUTIVE EXPENSES

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above.

Although the scope of the ASI was extended to all registered manufacturing establishments in the State, establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2001-2002 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2001-02 is a Circular Systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All the complete enumeration States namely, Manipur, Meghalaya, Nagaland, Tripura and Andaman & Nicobar Islands. b) For the rest of the States/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Rest of the factories found in the frame constituted Sample sector on which sampling was done. Factories under Biri & Cigar sector were not considered uniformly under census sector. Factories under this sector were treated for inclusion in census sector as per definition above (i.e., more than 100 workers and/or joint returns). After identifying Census sector factories, rest of the factories were arranged in ascending order of States, NIC-98 (4 digit), number of workers and district and properly numbered. The Sampling fraction was taken as 12% within each stratum (State X Sector X 4-digit NIC) with a minimum of 8 samples except for the State of Gujarat where 9.5% sampling fraction was used. For the States of Jammu & Kashmir, Himachal Pradesh, Daman & Diu, Dadra & Nagar Haveli, Goa and Pondicherry, a minimum of 4 samples per stratum was selected. For the States of Bihar and Jharkhand, a minimum of 6 samples per stratum was selected. The entire sample was selected in the form of two independent sub-sample using Circular Systematic Sampling method.

Sampling deviation

There was no deviation from sample design in ASI 2001-02

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources which are used for editing and data processing as well..

Tabulation procedure:

The tabulation procedure by CSO (ISW) includes both the ASI 2001-02 data and the extracted data from ASI 00-01 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A. The multiplier is calculated for each stratum (i.e. State X NIC'98 (4 Digit)) after adjusting for non-response cases.

Please note that Status of unit code 17-20 extrcted from ASI 2000-01 has been recoded as 99. This may always be included in all processing.

Please note that for all processing Status of unit code to be taken as 1,2 and 17 to 20. Primary Key for Block A, B, F and G is DSL. For all other Blocks C, D, E, H, I and J Primary key is DSL and Item Serial Number.

Merging of unit level data :

As per existing policy to merge unit level data at ultimate digit level of NIC'98 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC'98 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC'98 (5 Digit) ending with '9' that do not figure in the book of NIC '98. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-98) and RO/SRO code have been filled with '9' in each record. It may please be noted that tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise loss of information.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Abstract

The main objective of the 2011 Labour Force Survey is to collect information on the structure and distribution of labour force, employment and unemployment. Besides furnishing estimates at national and state levels, the survey also produces useful data for urban and rural areas. The comprehensive and systematic approach in the data collection and processing has been maintained over a period of time with the aim of obtaining comparable time series data.

Geographic coverage

The Labour Force Survey covers both urban and rural areas of all states in Malaysia.

Analysis unit

People aged 15 years and over

Universe

The survey population is defined to cover persons who live in private living quarters and hence excludes persons residing in institutions such as hotels, hostels, hospitals, prisons, boarding houses and military barracks. The survey comprises the economically active and inactive population.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling frame

The frame used for the Labour Force Survey is from the Household Sampling Frame, Department of Statistics, Malaysia which is made up of Enumeration Blocks (EBs) created for the 2000 Population and Housing Census.

EBs are geographically contiguous areas of land with identifiable boundaries. On average, each EB contains about 80 to 120 living quarters. Generally, all EBs are formed within gazetted boundaries, i.e. within administrative district, mukim or local authority areas.

The EBs in the sampling frame are also classified by urban and rural areas. Urban areas are as defined in the 2000 Population and Housing Census. Urban areas are gazetted areas with their adjoining built-up areas which have a combined population of 10,000 or more at the time of the 2000 Population and Housing Census. All other gazetted areas with a population of less than 10,000 persons and non-gazetted areas are classified as rural. Built-up areas are defined as areas contiguous to a gazetted area and has at least 60 per cent of their population (aged 10 years and over) engaged in nonagricultural activities as well as having modern toilet facilities in their housing units.

Urbanisation is a dynamic process and keeps changing in line with the progress and development. Thus, the urban areas for the 1991 and 2000 censuses do not necessarily refer to the same areas, as areas fulfilling the criteria of urban continue to increase or grow.

For the purpose of urban/rural analysis, the stratum are combined as follows: Urban = Metropolitan + Urban large Rural = Urban small + Rural

Sample design

A stratified two-staged sample design is adopted, that is: Primary stratum = made up of the states in Malaysia Secondary stratum = made up of the urban and rural stratum as defined in para 6.7 and formed within the primary stratum

Samples are drawn independently within each level of the secondary stratum. The first stage units of sample selection are the EBs while the second stage units are the living quarters (LQs) within the EBs. All households and persons within the selected LQs are canvassed. At every stage of selection, the units are selected systematically with equal probability within each level of the secondary stratum.

Sample size

The sample size required is based on the reliability of available past data. Other factors such as cost and availability of staff are also taken into consideration in determining the sample size.

The sampling procedures are more fully described in "Malaysia Labour Force Survey 2011 - Report" pp. 261-264.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire is designed to collect pertinent information on personal characteristics of the survey population and detailed information on economic characteristics of the labour force.

All household members will be asked the following information: (i) relationship to the head of household; (ii) sex; (iii) age; (iv) ethnic and citizenship; (v) marital status; and (vi) educational attainment.

For those aged 15 years and over, their activity status either employed unemployed or outside labour force will be determined. Information collected from the employed include whether they had been working or not during the reference week, the number of hours worked, occupation, industry and status in employment. If they have worked less than 30 hours per week, reasons and willingness to accept additional work is also obtained. If they have not been working during the reference week but have a job to return to, the reasons for not working would be sought.

The following questions will be asked to those who are unemployed: (i) action taken to look for work; (ii) work experience; and (iii) duration of unemployment.

Those who are classified as outside labour force will be asked to state the reasons for not seeking work and work experience, if any.

Sampling error estimates

Sampling error is a result of estimating data based on a probability sampling, not on census. Such error in statistics is termed as relative standard error and often denoted as RSE which is given in percentage. This error is an indication to the precision of the parameter under study. In other words, it reflects the extent of variation with other sample-based estimates.

Sampling errors of estimates on a few important variables at national and state levels are calculated separately. For Labour Force Survey 2011, the labour force participation rate for Malaysia was 64.4 percent with an RSE of 0.25 percent and standard error (SE) of 0.16 percent. At 95 per cent confidence interval (a = 0.05), the labour force participation rate was in the range of 64.08–64.72 percent.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:-"Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design followed in ASI 1984-85 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

a) CENSUS : To keep pace with the enormous growth of the factory sector, definition of the census sector was changed from ASI 1987-88 to the units having 100 or more workers irrespective of their operation with or without power and all electrical undertakings. All industrial units belonging to the 12 less industrially developed states/ UT's like Goa, Himachal Pradesh, J & K, Chandigarh, Manipur, Meghalaya, Nagaland, Tripura, Daman & diu, Pondicherry Dadra & Nagar Haveli, and Andaman & Nicobar Islands etc.

b) The rest of of the universe was covered on sampling design adopting State X 3 digit industry group as stratum so as to cover all the units in a span of three years. In any stratum, if the number of units was less than 20, then the entire stratum was enumearted completely along with census factories. In any stratum if no. of unit is between 21 & 60, a minimum sample of size 20 was selected by Circular Systematic Sampling. For all other units a uniform sampling fraction of 1/3 was adopted.

*****Multiplier : How to apply the Multiplier :

      (i)  If Scheme Code = 1 then  Multiplier = 1
          If Scheme Code = 2 then  Multiplier = 2

(ii) During Processing/Tabulating apply the multiplier to each characteristics.

Sampling deviation

There was no deviation from sample design in ASI 1984-95

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK1/2/16 : RECORD TYPE 011 : IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK 4 : RECORD TYPE 011 : SCHEDULE OF FIXED ASSETS BLOCK 4A : RECORD TYPE 011 : EMPLOYMENT AND LABOUR COST BLOCK 5 : RECORD TYPE 011 : SCHEDULE OF WORKING CAPITAL AND LOANS
BLOCK 6 : RECORD TYPE 011 : WORKING DAYS AND SHIFTS BLOCK 7 : RECORD TYPE 011 : EMPLOYMENT BLOCK 8 : RECORD TYPE 011 : LABOUR COST (INCLUDING FOR CONTRACT LABOUR) BLOCK 9 : RECORD TYPE 011 : FUELS, ELECTRICITY AND WATER CONSUMED (EXCLUDING INTERMEDIATE PRODUCTS) BLOCK 10 : RECORD TYPE 011 : OTHER EXPENDITURE BLOCK 11 : RECORD TYPE 011 : OTHER OUTPUT/RECEIPTS BLOCK 12 : RECORD TYPE 011 : ELECTRICITY BLOCK 13 : RECORD TYPE 011 : MATERIALS CONSUMED BLOCK 13 A : RECORD TYPE 011 : INPUT ITEMS (indigenous items consumed) BLOCK 13 B : RECORD TYPE 011 : INPUT ITEMS – directly imported items only (consumed) BLOCK 14 : RECORD TYPE 011 : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK 14 A : RECORD TYPE 011 : DISTRIBUTIVE EXPENSES

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Non-traditional data signals from social media and employment platforms for RSE.L stock analysis

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above.

Although the scope of the ASI was extended to all registered manufacturing establishments in the State, establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2004-2005 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 2004-05 is a stratified circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT's viz. Manipur, Meghalaya, Nagaland, Tripura, Sikkim and Andaman & Nicobar Islands.
b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns. c) After excluding the Census Sector units as defined above, all units belonging to the strata (State by 4-digit of NIC-04) having less than or equal to 4 units are also considered as Census Sector units.

Remaining units, excluding those of Census Sector, called the sample sector, are arranged in order of their number of workers and samples are then drawn circular systematically considering sampling fraction of 20% within each stratum (State X Sector X 4-digit NIC) for all the states. An even number of units with a minimum of 4 are selected and evenly distributed in two sub-samples. The sectors considered here are Biri, Manufacturing and Electricity.

Sampling deviation

There was no deviation from sample design in ASI 2004-05

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Tabulation procedure The tabulation procedure by CSO (ISW) includes both the ASI 2004-05 data and the extracted data from ASI 03-04 for all tabulation purpose. For extracted returns, status of unit (Block A, Item 12) would be in the range 17 to 20. To make results comparable, users are requested to follow the same procedure. For calculation of various parameters, users are requested to refer instruction manual/report. Please note that a separate inflation factor (Multiplier) is available for each unit against records belonging to Block-A for ASI 2004-05 data. The multiplier is calculated for each stratum (i.e. State X NIC-04 (4 Digit) after adjusting for non-response cases.

Merging of unit level data As per existing policy to merge unit level data at ultimate digit level of NIC'04 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC-04 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-04 (5 Digit) ending with '9' that do not figure in the book of NIC '04. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-04) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise the loss of information.

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Non-traditional data signals from social media and employment platforms for RSCPS stock analysis

Non-traditional data signals from social media and employment platforms for AHVBS stock analysis

Abstract

The Statistics Division of the Department of National Planning (DNP/SD) conducts Household Income and Expenditure Surveys (HIES) in the Maldives. HIES 2009-2010 is the second such nationwide survey conducted in the country. 39 islands were randomly selected from all 20 Atolls and the capital Male' with a sample of 2,060 households.

The main objective of HIES is to produce reliable statistics on different components of income and expenditure of households in Male' and the Atolls to assess the economic well-being of the population. Specifically, the results will be used to bring about improvements in the national accounts, consumer price index and the vulnerability and poverty statistics of the country.

HIES results will be particularly essential and used for following purposes: • To show the most recent composition of consumption expenditure of households which will be used to update the CPI weights • To improve GDP estimates particularly for the components of final consumption expen diture of households, income and outlay and savings. • To measure living standard and indicate the gap between different social strata • To analyze distribution of households in terms of income groups and proper statistical measure of income inequality such as Gini coefficient. • To measure the poverty situation of households and update the existing poverty esti mates and indicators.

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Consumption expenditure commodities/ services

Kind of data

Sample survey data [ssd]

Sampling procedure

Required data for sampling were obtained from the population and housing census 2006. The country consists of 20 administrative atolls comprising of 194 inhabited islands. For political purpose these 20 administrative atolls are grouped as 7 regions. The capital Male' has separate administrative status. The frame for Male' consists of 6 wards and 324 enumeration blocks. HIES uses the area frame as a basis, to make the sample representative for the administrative and geographic structure of the country. All the inhabited islands have clearly marked census enumeration blocks, which were used in the sampling. Major characteristics of the HIES sampling frame are given below. A total of 880 blocks and 45,993 households were in the 194 inhabited islands of the country.

Note: Detailed sampling information is presented in APPENDIX ONE in the final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

There were 8 different questionnaires. This includes: • Listing form (Form 1) is used to enumerate all the structures and households in the se lected Enumeration block in preparation for the actual household survey. One set of forms to be completed for each selected enumeration block. • Household form, (Form 2) consists of information on housing, household composition, household durables, and travel by members of the household, investment and financial status of household. One form has to be completed for each household. • Household member form (Individual form), (Form 3) consists of basic demographic char acteristics on all household members, education for those aged 6 years and above and identifies the labour force. One column on the form needs to be completed for each member of the household. • Employment and income form (Form 4) consists of information on employment and in come, one form to be completed for each member of the household who is aged fif teen years and over and who is working or is an income recipient. • Expenditure forms (Form 5) and, (Form 6), For Male' and the Atoll Islands, Form 5 is used to record the household expenditures and Form 6 to record the personal expendi tures of individual household members over the age of 15. Thus, a Form 5 will be filled for each household, while every individual member 15 years of age and above, who earns, fills a Form 6 to record his/her personal expenditure diary. • Summary form (Form 7) consist the summary information of the household. After all the information for the household and its members were received, this form was used to calculate the household income and expenditure and to calculate the expenditure per day and expenditure per person for a household. • ICT form (Form 8) consists of information related to the information communication technology (ICT). Accessibility, usage and expenditures on ICT by the household's mem bers aged 4 years and above were recorded in this form.

Sampling error estimates

Sampling Errors Sampling errors refers to the difference between the estimate based on a sample and its 'true' population value that would result if the whole population has been surveyed. The extent of sampling error of an estimate under a particular sample design is assessed by the variability of the estimate across all possible samples under the design. One common measure of this variability is given by the standard error (SE), which is the standard deviation of the sampling distribution of the estimate. Another measure is the relative standard error (RSE), which is obtained by expressing the standard error as a percentage to the estimate. The smaller the RSE, the more precise is the estimate.

The difference between standard error (SE) and relative standard error (RES) are that the standard error (SE) measure indicates the extent to which a survey estimate is likely to deviate from the true population and is expressed as a number. The relative standard error (RSE) is the standard error expressed as a fraction of the estimate and is usually displayed as a percentage. Estimates with a RSE of 25% or greater are subject to high sampling error and should be used with caution.

The reliability of estimates can also be assessed in terms of a confidence interval. Confidence intervals represent the range in which the population value is likely to lie. They are constructed using the estimate of the population value and its associated standard error. For example, there is approximately a 95% chance (i.e. 19 chances in 20) that the population value lies within two standard errors of the estimates, so the 95% confidence interval is equal to the estimate plus or minus two standard errors.

Note: Estimated sampling errors of some selected estimates in the HIES 2009/10 report are in Table 1.7.1.

Data appraisal

Sample surveys are limited in that they are assumed to represent the part of the population that was not included in the sample. Surveys have various sampling and non sampling errors, such an assumption may not always be correct. In the HIES 2009/2010 an important limitation is that no conclusions can be drawn from the information on the situation in any particular atoll; as the survey was designed to represent for Male' and at the 7 regions at the most disaggregated level. Also the regions in HIES 2009/2010 is different from previous HIES, hence the two HIESs is not comparable at regional level.

The survey design of HIES does not include resorts and industrial islands. Hence the direct incomes and expenditures of this particular population will not be accounted. If a person was not living in the household during the survey period the income the income of that person was recorded as transfer income. This limitation resulted in the employment in tourism industry lower compared to census 2006.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:- "Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

The sampling design followed in ASI 1989-90 is a circular systematic one. All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

a) CENSUS : To keep pace with the enormous growth of the factory sector, definition of the census sector was changed from ASI 1987-88 to the units having 100 or more workers irrespective of their operation with or without power and all electrical undertakings. All industrial units belonging to the 12 less industrially developed states/ UT's like Goa, Himachal Pradesh, J & K, Chandigarh, Manipur, Meghalaya, Nagaland, Tripura, Daman & diu, Pondicherry Dadra & Nagar Haveli, and Andaman & Nicobar Islands etc.

b) The rest of of the universe was covered on sampling design adopting State X 3 digit industry group as stratum so as to cover all the units in a span of three years. In any stratum, if the number of units was less than 20, then the entire stratum was enumearted completely along with census factories. In any stratum if no. of unit is between 21 & 60, a minimum sample of size 20 was selected by Circular Systematic Sampling. For all other units a uniform sampling fraction of 1/3 was adopted.

*****Please Note: Data has already been multiplied by Multiplier factor as such multiplier is not provided in the data set ****

Sampling deviation

There was no deviation from sample design in ASI 1989-90

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK1/2/16 : RECORD TYPE 011 : IDENTIFICATION PARTICULARS (Filled by CSO and Industrial Units) BLOCK 4 : RECORD TYPE 011 : SCHEDULE OF FIXED ASSETS BLOCK 4A : RECORD TYPE 011 : EMPLOYMENT AND LABOUR COST BLOCK 5 : RECORD TYPE 011 : SCHEDULE OF WORKING CAPITAL AND LOANS
BLOCK 6 : RECORD TYPE 011 : WORKING DAYS AND SHIFTS BLOCK 7 : RECORD TYPE 011 : EMPLOYMENT BLOCK 8 : RECORD TYPE 011 : LABOUR COST (INCLUDING FOR CONTRACT LABOUR) BLOCK 9 : RECORD TYPE 011 : FUELS, ELECTRICITY AND WATER CONSUMED (EXCLUDING INTERMEDIATE PRODUCTS) BLOCK 10 : RECORD TYPE 011 : OTHER EXPENDITURE BLOCK 11 : RECORD TYPE 011 : OTHER OUTPUT/RECEIPTS BLOCK 12 : RECORD TYPE 011 : ELECTRICITY BLOCK 13 : RECORD TYPE 011 : MATERIALS CONSUMED BLOCK 13 A : RECORD TYPE 011 : INPUT ITEMS (indigenous items consumed) BLOCK 13 B : RECORD TYPE 011 : INPUT ITEMS – directly imported items only (consumed) BLOCK 14 : RECORD TYPE 011 : PRODUCTS AND BY-PRODUCTS (manufactured by the unit) BLOCK 14 A : RECORD TYPE 011 : DISTRIBUTIVE EXPENSES

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are also may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Non-traditional data signals from social media and employment platforms for RSLVS stock analysis