The dataset represents the locations of combined sewer overflow (CSOs) outfall locations in NYS. Combined sewers collect stormwater runoff, domestic sewage and industrial wastewater in the same pipe and bring it to a wastewater treatment facility. They are designed to overflow during heavy rain events, causing excess water to be discharged directly into a waterbody. The public is advised to avoid contact while recreating within waterbodies with a CSO during or following rain or snowmelt. There are about 800 CSO outfalls in New York State. This is a decrease from about 1,300 in 1993, due to CSO abatements completed by the permittees.Service is updated annually and was last updated 11/4/2024.For more information or to download layer see https://www.dec.ny.gov/chemical/48595.html1. The NYS DEC asks to be credited in derived products. 2. Secondary Distribution of the data is not allowed. 3. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes misuse of the data. 4. Although every effort has been made to ensure the accuracy of information, errors may be reflected in the data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions.

CSO attributes and _location information are from a variety of datasets for each state: Connecticut: Beginning with GIS data compiled by the Connecticut Department of Energy and Environmental Protection (“CT DEEP”) and displayed on their CSO Right-to-Know site (https://portal.ct.gov/DEEP/Municipal-Wastewater/Combined-Sewer-Overflows-Right-to-Know), EPA filtered the data for the purposes of this map and made corrections based upon updated information available in EPA’s files. EPA’s map only displays municipalities with CSO outfalls, whereas CT DEEP’s map includes municipalities with CSO-related bypasses at their Wastewater Treatment Facilities (but no Combined Sewer Collection System CSO outfalls). EPA’s map only displays CSO outfalls – the point at which CSOs are discharged to the receiving water - whereas CT DEEP’s map includes CSO regulators (the structure through which wastewater and stormwater exits the conveyance pipe towards the Wastewater Treatment Facility). Maine: Service containing both facility and outfall locations permitted under the Maine Pollution Elimination System (MEPDES) and administered by the Maine Department of Environmental Protection (MEDEP). The data has been collected using multiple methods over 2 decades under the direction of the Maine DEP GIS Unit. All _location data was quality checked by MEDEP MEPDES Inspectors and GIS Unit staff in 2018. Massachusetts: Attribute and location information from a combination of MassDEP CSOs(https://mass-eoeea.maps.arcgis.com/apps/webappviewer/index.html?id=08c0019270254f0095a0806b155abcde) (metadata - https://mass-eoeea.maps.arcgis.com/home/item.html?id=0262b339c2c74213bdaaa15adccc0e96) and NPDES permits(https://www.epa.gov/npdes-permits/massachusetts-final-individual-npdes-permits). New Hampshire: Active CSO outfalls collected from NH NPDES permits(https://www.epa.gov/npdes-permits/new-hampshire-final-individual-npdes-permits). EPA made corrections based upon updated information available in EPA’s files. Rhode Island: RI CSO Outfall Point Features. The outfalls managed by the Narragansett Bay Commission are downloadable from a GIS file through RIGIS (Rhode Island Geographic Information System https://www.rigis.org/datasets/nbc-sewer-overflows/explore?location=41.841121%2C-71.414224%2C13.57&showTable=true). Data was intended for use in utility facility engineering structure inventory. Last updated: 2019. Downloaded: 11/19/2021. Metadata (https://www.arcgis.com/sharing/rest/content/items/2108bab269df47f988e59c18a556f37d/info/metadata/metadata.xml?format=default&output=html) Vermont: Attribute and location information from Vermont Open Geodata Poral (https://geodata.vermont.gov/datasets/VTANR::stormwater-infrastructure-point-features/explore?location=43.912839%2C-72.414150%2C9.29). Point, line, and polygon data was collected and compiled through field observations, municipal member knowledge, ortho-photo interpretation, digitization of georeferenced town plans and record drawings, and state stormwater permit plans. Accuracy of all data is for planning purposes and field verification is at the user’s discretion. VT Layer: Stormwater Infrastructure (Point Features) Metadata (https://www.arcgis.com/sharing/rest/content/items/5c9875ee609c4586bd569dbacb2d92f1/info/metadata/metadata.xml?format=default&output=html).

CD617 - Population Usually Resident and Present in the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population Usually Resident and Present in the State...

F5067 - Population usually resident and present in the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population usually resident and present in the State...

FY067 - Population Usually Resident and Present in the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population Usually Resident and Present in the State...

C0413 - Population Aged One Year and Over Usually Resident and Present in the State whose Usual Residence One Year Previously was Outside the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0). Population Aged One Year and Over Usually Resident and Present in the State whose Usual Residence One Year Previously was Outside the State...

C0933 - Population Aged 3 Years and Over Usually Resident and Present in the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population Aged 3 Years and Over Usually Resident and Present in the State...

Description: This dashboard provides an overview of the percentage of new housing completions that have taken place within the build-up areas within all 31 local authorities in Ireland. According to the National Planning Framework (NPF), Ireland is targeting a greater proportion (40%) of future housing development to be within and close to the existing ‘footprint’ of built-up areas. This dashboard provides metrics that align with the target set out in the NPF.The data for this analysis has been provided to the three Regional Assemblies by the Central Statistics Office (CSO) through a specific analysis of new housing completions at the Small Area geography level. Using this data, it is possible to identify all housing completions that have taken place within each local authority for two specific geographies: built-up areas (based on the CSO 2016 Census settlement boundaries n=873 settlements) and other areas not within settlements. Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26).Source: Regional Assemblies via Central Statistics Office (CSO)Weblink: n/aDate of last source data update: April 2023Update Schedule: Annual

Vegetation Survey site of Region: CSO. The JTH_CSO(Vegetation Survey site of Region: CSO) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

There is a requirement, as per Commission Implementing Regulation (EU) 2018/1799, to deliver Census data for the reference year 2021 to Eurostat. In September 2020, the Irish Government decided to postpone the scheduled April 2021 Census to April 2022 following a recommendation from CSO related to the impact of the Covid-19 pandemic. The CSO however has agreed that the office will still meet its legal requirement. It will base the Eurostat requirements on Census 2022 data, using administrative and other sources to appropriately adjust the data to reference year 2021. A (preliminary) headcount of usual residents at the 1 km² grid level (there are approximately 73,000 such square kilometres in Ireland) is required by Eurostat by 31^st December 2022. The data was produced in the following manner:

Initial preliminary Census estimate for April 2022 As part of the field operation for the 2022 Census, the CSO introduced a new smartphone-based application that allowed field staff to capture information about every dwelling in the country. This application facilitated the production of a preliminary population publication less than 12 weeks (June 23^rd) after census night (April 3^rd). The information includes data on the number of de facto occupants. This information is provisional, and the final file will not be completed until all collected paper forms are fully processed, which is expected to be around the end of January 2023. The provisional data should however be a very strong indicator of the final results.

The preliminary Census de facto population estimate was 5,123,536 persons, available at the 1 km² grid level. As we need the population on a usual resident basis, it was decided to adjust this estimated de facto population at the 1 km² grid level by applying the arithmetic differences between the 2016 usual resident and de facto population counts at that level to the de facto population for 2022. A ratio model, where rates of change of de facto to usual resident counts are applied instead of differences, was also considered but this led to more extreme adjustments, mainly where there was a large change in the population count of a cell between 2016 and 2022. This reduced the usual resident population to 5,101,268 for April 2022, a fall of 22,268 persons.

Temporary Absent Dwellings Census also provided data on the temporarily absent dwellings dataset (at 1 km² grid level), containing a count of persons usually resident in the State but whose entire household were abroad on census night and therefore not included in the de facto population count. This covers 33,365 temporarily absent dwellings with 50,749 temporarily absent persons across 9,138 grid cells. This category was not present in the 2016 figures so it was decided to include these absent persons as they meet the definition of usual residents and will be present in the final transmission, due March 2024. The resulting usually resident population count for 3^rd April 2022 was estimated as 5,152,671 persons.

Note that in a small number cases (80 grid cells), adjustments resulted in a negative cell value, but these were set to zero.

Final preliminary estimate

The CSO then adjusted this figure of estimated usual residents for 3^rd April 2022 back to the 3^rd December 2021 reference point by performing a reverse cohort-survival model.

Firstly, there are an estimated 21,528 births, some 12,405 deaths and approximately 63,595 inward and 25,730 outward migrants for the four-month period December 2021 to March 2022. This affects a total of approximately 123,000 persons, or about 2.4% in a total population of around 5.15 million persons. These population changes were ‘reversed’, as indicated below. Secondly, we also ‘reversed’ those persons who moved from their address within Ireland after December 3^rd 2021 to their Census April 3^rd 2022 address. Based on the selection method approximately 85,000 persons were moved to their previous address, representing about 1.7% of the population.

The steps in the process were:

Births We took the actual November 2015 to April 2016 births from Census 2016 with the variables grid reference, gender and NUTS3 as the sampling frame for the selection of births. Then, using data from table 19 in the Q1 2022 Vital Stats quarterly release (Table VSQ19 on Statbank), we derived the number of Q1 2022 births at NUTS3 by gender level. We also included a proportion of Q4 2021 births, taking one-third to represent December 2021. There are 21,528 births in total for the four-month period we are interested in (16,121 for Q1 2022 plus a third of the value of Q4 2021 which is 5,407), see table 2. Then, using the SAS procedure surveyselect, we selected, at random, the required number of births per strata from the frame and totalled up per grid reference. The resulting figure is the number of people removed from the Census 2021 grid totals, as these figures represent those born during December 2021 to March 2022.

We took the entire Census 2016 data with the variables grid reference, gender, NUTS3 and broad age group (0-14, 15-29, 30-49, 50-64, 65-84 and 85+) as the sampling frame for the selection of people to add back in who died between December 2020 and March 2022. This stratification results in 96 cells. This frame serves as a proxy for the distribution of deaths across the 1km grid square strata. Next, we obtained the Q4 2021 and Q1 2022 mortality data stratified by gender, NUTS3 and age group, provided by the Vital Stats statistician. The total number is 12,405 deaths for the four-month period of interest (9,535 for Q1 2022 plus one third of the value for Q4 2021 which is 8,626), see tables 3 and 4.

Then using the SAS procedure surveyselect, we selected, at random, the required number of deaths per strata from the frame and total up per grid reference. The resulting figure is simply the number of people added to the Census 2021 grid figures as summarised at the grid level, as they represent those who died during December 2021 to March 2022.

Inward and outward migrants

The processing of the inward and outward migrants essentially follows the same methodology in that we used Census 2016 as a sampling frame for the inclusion of those who emigrated in December 2021 and March 2022 and the exclusion of those who immigrated in the same period.

We took the Census 2016 with the variables grid reference, gender, NUTS3, broad nationality (Irish, UK, EU14 excl. IE, EU15 to 27 and Rest of the World) and broad age group (0-14, 15-29, 30-49, 50-64, 65-84 and 85+) as the sampling frame for the selection of migrants. Using the Q4 2021 and Q1 2022 migration data, we got the required inward and outward movers. The Population and Migration statistician provided the data at an individual level for our purposes. There are 63,780 inward migrators (53,403 in Q1 2022 and 10,377 taking one-third of the Q4 2021 values) and 25,730 outward migrators (19,779 in Q1 2022 and 5,951 taking one-third of the Q4 2021 values), see tables 5 to 7.

Then, using SAS procedure surveyselect, we selected, at random, the required number of inward and outward migrants per strata from the frame and sum over grid reference. Given that there will be more inward than outward migrants, the resulting figures will generally be negative i.e., the population will fall.

Ukrainian refugees There are no official statistics, but it was estimated that there were more than 23,000 Ukrainian refugees present in the State in April 3 2022. It is difficult to know the exact numbers captured by the Census until the full final dataset is available. Ukrainian refugees were to be counted as immigrants and usual residents (UR) on the census form unless an individual classed themselves as a visitor, in which case they were de facto (DF) residents. From the point of view of the procedure being described here, Ukrainians who are classified

CPNI42 - Destination of people usually resident in the State at work and commuting to Northern Ireland. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Destination of people usually resident in the State at work and commuting to Northern Ireland...

No notes provided

Explanation of CPI and the Dataset:

What is CPI?

CPI (Consumer Price Index) measures the average change in prices over time that consumers pay for a basket of goods and services. It is a key indicator of inflation and is used by governments and central banks to monitor price stability and for inflation targeting. Components: The construction of CPI involves two main components: Weighting Diagrams: These represent the consumption patterns of households. Price Data: This is collected at regular intervals to track changes in prices.

Role of the Central Statistics Office (CSO):

The CSO, under the Ministry of Statistics and Programme Implementation, is responsible for releasing CPI data. The indices are released for Rural, Urban, and Combined sectors for all-India and individual States/UTs.

Dataset Alignment:

Sectors: The dataset includes a "Sector" column that categorizes data into "Rural," "Urban," and "Rural+Urban," aligning with the CPI data released by the CSO. Time Period: The "Year" and "Name" (which appears to represent months) columns in the dataset track the data over time, consistent with the monthly release schedule by the CSO starting from January 2011. State/UT Data: Each column corresponding to a state or union territory likely represents the CPI values for that region. The numeric values under each state/UT column represent the CPI index values, with a base of 2010=100. Purpose: This data can be used to analyze inflation trends, price stability, and the impact on economic policies, such as adjustments to dearness allowance for employees. Practical Use of This Data: Inflation Analysis: By examining the changes in CPI values across different states, analysts can study regional inflation trends and compare them to the national average. Policy Making: Governments and central banks can use this data to design and adjust policies aimed at controlling inflation, targeting specific regions or sectors that are experiencing higher inflation. Wage Indexation: Companies and governments can use CPI data to adjust wages and allowances in line with inflation, ensuring that purchasing power is maintained.

Abstract

To take care of the limitations of the earlier Time Use Studies in India and to meet the new emerging data requirements, Ministry of Statistics and Programme Implementation, Government of India, therefore, conducted a pilot Time Use Survey in 18620 households spread over six selected states , namely, Haryana, Madhya Pradesh, Gujarat, Orissa, Tamil Nadu and Meghalaya during the period July, 1998 to June, 1999.

Following were the main objectives of this survey:

1. To develop a conceptual framework and a suitable methodology for designing and conducting time use studies in India on a regular basis. Also, to evolve a methodology to estimate labour force/work force in the country and to estimate the value of unpaid work in the economy in a satellite account.

2. To infer policy/programme implications from the analysis of the data on (a) distribution of paid and unpaid work among men and women in rural and urban areas, (b) nature of unpaid work of women including the drudgery of their work and (c) sharing of household work by men and women for gender equity.

3. To analyze the time use pattern of the individuals to understand the nature of their work so as to draw inference for employment and welfare programmes for them.

4. To analyze the data of the time use pattern of the specific section of the population such as children and women to draw inferences for welfare policies for them.

5. To collect and analyze the time use pattern of people in the selected states in India in order to have a comprehensive information about the time spent by people on marketed and non-marketed economic activities covered under the 1993-SNA, non marketed non-SNA activities covered under the General Production Boundary and on personal care and related activities that cannot be delegated to others.

6. To use the data in generating more reliable estimates on work force and national income as per 1993 SNA, and in computing the value of unpaid work through separate satellite account,

Keeping in view the importance of the survey for India and our specific socio-economic situation similar to other developing countries, this survey was conducted using own financial, technical and manpower resources. Moreover, to ensure capacity building for conducting such surveys on a regular basis, this survey was conducted by utilizing the official statistical system machinery.

Geographic coverage

Six States and their Urban and Rural area

Analysis unit

Households

Universe

All residential Households of Six States.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in the survey was three stage stratified design. The first, second and third stages were the district, villages/urban blocks and households. Proper stratification of the districts in the selected states were done using the population density and proportion of tribal population to ensure capturing of the variability in the population. In the villages/urban blocks also sub-stratification was adopted to ensure representation of all types of households in the Survey.

The total number of households covered in the sample was 18,628 planned. The total sample size of 18,628 households were first distributed in proportion to the total number of estimated households as per the 1993-94 survey of the National Sample Survey Organisation. No. of first stage units (villages and sample blocks) were determined using the initial sample size to be allocated to each state and by assuming that in each f.s.u. , 12 households will be surveyed. The number of f.s.u. so arrived at was adjusted to be multiple of 8 as atleast 2 f.s.u. each may be covered in 4 sub-rounds.

Selection of villages : All the villages in the selected district were grouped in 3 categories namely large (population above 1200), medium (population between 400 to 1200) and small(population less than 400) . The total rural sample was distributed in three stratum in proportion to the population in the three stratum. In case any stratum was not applicable in a particular district, the allocated sample was distributed in the remaining stratum only. If more than one village was to be selected in the particular stratum , then villages-were selected using circular systematic sampling with probability proportional to the population. If all the three strata were present then minimum sample size allotted in each stratum was 2.

Selection of urban sample blocks : All the towns in the selected district were grouped in 3 categories namely large(population more than 2 lakhs), medium(population between 50000 to 2 lakhs) and small (population less than 50000) . The total urban sample was distributed in three stratum in proportion to the population in the three stratum. In case any stratum was not applicable in a particular district, the allocated sample was distributed in the remaining stratum only. If more than one sample block was to be selected in the particular stratum, then ufs blocks in each of the towns were presented by investigator unit and ufs blocks no. The requisite number of ufs blocks were then selected by using circular systematic sampling with equal probability. If all the three strata were present then minimum sample size allocated in each stratum was 2 due to this, in some cases, overall urban sample size allotted in a particular district might have increased.

As no previous survey was conducted on this topic and methodologies to be used were not firmed up, it was decided to conduct this survey on a pilot basis. However, to ensure the use of data collected in the pilot survey also, a proper sampling procedure was followed.

Refer the attached document named 'Report' attached under external resource

Sampling deviation

There was no deviation from the original sample deviation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The final questionnaire used in the survey was evolved after a number of discussion with the academic experts and the practising survey statisticians. The final questionnaire consisted of following three parts: i. Schedule 0.1: Listing Questionnaire for the Rural Areas ii. Schedule 0.2: Listing Questionnaire for the Urban Areas iii. Schedule 0.3: Household Questionnaire which consist of following Blocks

(a) Block 0: Identification of Sample Households (b) Block 1: Household Characteristics (c) Block 2: Particulars of Household Members (d) Block 3: Time Disposition of Persons on Selected Days of the Week

A copy of the questionnaire is attached as external resource

Cleaning operations

The date entry and validation work of the Survey was handled by the States for which data entry and validation packages were supplied by the Central Statistical Organization. A Workshop was also organized to sort out the various problems faced by the States in the use of these packages. For evolving the data entry and validation package, the help of Data Processing Division of the National Sample Survey Organization was taken. The validated data was sent by States to the CSO and the final processing of the data was done by the Computer Centre of the Department. In spite of severe problem faced ion the operation of main-frame computer at the Computer Center, data processing work of the Survey completed by the end of November, 99.

Response rate

The total number of households covered in the sample was 18.591 as against 18,620 originally planned. 68 % of the households was in rural areas. Therefore, the non-response at 0.1 % was negligible.

Sampling error estimates

The standard error estimates may be calculated on the basis of sub-sample wise estimates of stratum totals.

For Detail refere to Page no 18 of the Report of The Time Use Survey 1998.

F5067 - Population with a disability usually resident and present in the State. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population with a disability usually resident and present in the State...

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011 except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-Products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

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

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. From ASI 2016-17, a new sampling design is adopted following the recommendations of the Sub-Group of the SCIS under the Chairmanship of Dr. G.C. Manna and approved by the SCIS and the National Statistical Commission (NSC) subsequently. According to the new sampling design, all the units in the updated frame are divided into two parts - Central Sample and State Sample. The Central Sample consists of two schemes: Census and Sample. Under Census scheme, all the units are surveyed. (1) Census Scheme: (i) All industrial units belonging to the seven less industrially developed States/ UTs viz. Arunachal Pradesh, Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. (ii) For the States/ UTs other than those mentioned in (i), (a) units having 75 or more employees from six States, namely, Jammu & Kashmir, Himachal Pradesh, Rajasthan, Bihar, Chhattisgarh and Kerala; (b) units having 50 or more employees from three States/UTs, namely, Chandigarh, Delhi and Puducherry; (c) units having 100 or more employees for rest of the States/UTs, not mentioned in (a) and (b) above and; (d) all factories covered under 'Joint Return' (JR), where JR should be allowed when the two or more units located in the same State/UT, same sector and belongto the same industry (3-digit level of NIC-2008) under the same management. (iii) After excluding the Census Scheme units in the above manner, all units belonging to the strata (State x District x Sector x 3 digit NIC-2008) having less than or equal to 4 units are also considered under Census Scheme. It may be noted that strata are separately formed under three sectors considered as Bidi, Manufacturing and Electricity.

(2) All the remaining units in the frame are considered under Sample Scheme. For all the states, each stratum is formed on the basis of State x District x Sector x 3-digit NIC-2008. The units are arranged in descending order of their total number of employees. Samples are drawn using Circular Systematic Sampling technique for this scheme. An even number of units with a minimum of 4 units are selected and distributed in four sub-samples. It may be noted that in certain cases each of 4 sub-samples from a particular stratum may not have equal number of units. (3) Out of these 4 sub-samples, two pre-assigned sub-samples (1 & 3) are given to NSSO (FOD) and the other two-subsamples (2 & 4) are given to concerned State/UT for data collection. (4) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) are treated as the Central Sample. (5) All census units plus all the units belonging to the two sub-samples given to State/UT are treated as the State Sample. Hence, State/UT has to use Census Units (collected by NSSO (FOD) and processed by CSO (IS Wing)) along with their sub-samples while deriving the state level estimates for their respective State/UT based on State Sample. (6) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) plus all the units belonging to the two sub-samples given to State/UT are required for obtaining pooled estimates based on Central Sample and State Sample with increased sample size.

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS - directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether

This project researched how CSOs working in the area of sustainable development responded to regulatory restrictions on advocacy work which were put in place by the Ethiopian authorities in 2009. We found that the restrictive laws had a severe impact: many CSOs had to shut down or limit their operational capacity to service delivery only. CSO networks became inactive as well. Those that survived in some cases continued to do advocacy work, disguised as service delivery. This shows that northern stakeholders should not adhere to a strict division between advocacy and service delivery in their funding policy. They also should focus on long-term CSO engagement and long-term CSO funding and not resort to shifting funding priorities. In 2019, new legislation was adopted that replaces the current stringent regulatory framework for CSOs. The new law envisions a far greater role for self-regulation in the civil society sector while still maintaining some degree of State oversight through registration, reporting and funding allocation requirements. Our overall conclusion, therefore, is that although the regulatory environment for CSOs is improving, the sector is still in need of international support and ongoing, consistent and reliable funding.

Abstract

Comparison of economic performance over time is a key factor in economic analysis and a fundamental requirement for policy-making. Short-term indicators play an important role in this context by providing such comparison indicators. Among the short-term indicators, the Index of Industrial Production (IIP) has historically been one of the most well-known and well-used indicators. The all India IIP is a composite indicator that measures the short-term changes in the volume of production of a basket of industrial products during a given period with respect to that in a chosen base period. It is compiled and published monthly by the Central Statistics Office (CSO) with a time lag of six weeks from the reference month.

Geographic coverage

Industrial Coverage: Although UNSD guidelines state that IIP is to be compiled for activities in ISIC Rev. 4 Sections B, C, D and E, i.e. (i) Mining and quarrying, (ii) Manufacturing, (iii) Electricity, Gas, Steam and Air-conditioning supply and (iv) Water supply, Sewerage, Waste management and Remediation activities, due to constraints of the data availability and other resources, the index is being compiled with (i) Mining, (ii) Manufacturing and (iii) Electricity as scope of All India IIP. In the current base year (i.e. 2011-12), the index covers 839 items clubbed into 407 item groups under three sectors i.e. Mining (29 items clubbed into 1 item group), Manufacturing (809 items clubbed into 405 item groups) and Electricity (1 item) with weights of 14.37%, 77.63% and 7.99% respectively.

The mining sector covers 29 items under different headings viz. Fuel Minerals, Metallic Minerals and Non-Metallic Minerals. This sector also includes Crude Petroleum, Natural Gas, Coal and Lignite. The manufacturing sector covers 809 items under different groups e.g. Food products, Beverages, Textiles, Chemicals and chemical products etc. The Electricity sector is treated as a single item.

Product Coverage: Within an industry the products are covered on the basis of the concepts of Primary (Main) Product as well as Secondary (By) Product. All those items which represent at least 80% of the output within each industry group, i.e., 3-digit industry of NIC-2008 (based on ISIC 4) have been included in the Item basket. Essential products like tea, coffee, salt and sugar have been included. The over-riding criteria for finalization of item basket have been the regular monthly flow of production data from the source agencies/collection authorities.

Analysis unit

Frame for coverage of units is decided by the source agencies which collect data from the factories. For compilation of IIP both large and medium factories are covered for collection of data by the source agencies.

Mode of data collection

The sample size for data collection is decided by the source agencies. Generally, efforts are made to cover all the major units.

statistical techniques :

Procedures for Non-Response: In India, the Index of Industrial Production is based on the responded production as well as estimated production for non-responding units. The production estimates for the non-responding units are developed using various methods including: repetition of last available data; taking the average production data for the last few months; using previous year's growth rate; etc. The appropriate estimation procedure is decided by the source agencies themselves in consultation with CSO. Treatment of Missing Production: The index is compiled on the basis of the data on a fixed number of items collected from the source agencies which in turn collect the data from different factories and estimate the data on their own, as per the requirements. Selection of Replacement Items: Replacement of items is not done at present. Introducing New Units and Products: New units/ new products are included only at the time of the revision of base year.

Other statistical procedures : The production figures, if not reported by all the units in the current month due to any reason, are estimated for the current month and revised subsequently in the next month, and finally in the third month on the basis of which the final indices for a month are calculated.

Nature of Weights: The weights for the three sectors (mining, manufacturing, and electricity) are based on share of the sector in total domestic production in the base year. The overall weight of the manufacturing sector is apportioned to the industry groups at the 2-digit, 3-digit- and 4-digit level of the National Industrial Classification (NIC) 2008, on the basis of the Gross Value Added (GVA). The weighting diagram for the current series of IIP is prepared on the basis of GVA up to the 2-digit, 3 and 4 digit level of NIC based on the results of ASI 2011- 12. At the final level (i.e. 5 digit level of NIC), weights to items have been distributed on the basis of Gross Value of Output (GVO). The weights of selected items within an industry group are apportioned on the basis of the value of output.

Period of Current Index Weights: The current index weights are based on the value of production of the industries during the base year period viz. April, 2011 to March 2012 as reported in the Annual Survey of Industries for the year 2011-12. The same weights are used until the revision of the base year is done.

Frequency of Weight Updates: The weights are revised with every revision of the base year. The base year was revised to 2011-12 from 2004-05 in May 2017. Efforts would be made to revise the base year once in every five years as per UNSD's recommendations (the previous base years of the index were 2004-05, 1993-94, 1980-81, 1970, 1956, 1951 and 1946).

• Computation of lowest level indices: The lowest level, for which an index is prepared, is the item group. It is compiled as the ratio of production quantity in the current month with respect to its average monthly production quantity in the base year.

• Aggregation: The IIP is calculated using the Laspeyres formula as a weighted arithmetic average of production relatives. The index is primarily quantity based, although for some item groups the quantity relatives are obtained by price deflation.

The index at group level/ 2-digit level of NIC is compiled by using the Laspeyeres' formula, i.e. I = Uppercase sigma(Wi*Ri)/ Uppercase sigm(Wi) where Ri is the production relative and Wi is the weight of an item.

The index is prepared for each two-digit level of NIC. Also the index is prepared on the basis of the following use-based classification: Primary Goods, Capital Goods, Intermediate Goods, Infrastructure/ Construction Goods, Durable Consumer Goods and Non-Durable Consumer Goods.

• Alignment of Value of Weights and Base Period: No alignment of the weights is required as the weights as well as the base year production relate to the same reference period viz. April, 2011 to March 2012.

-- Linking of Re-weighted Index to Historical Index: Whenever there is change in the base year, the new series can be linked with the old series by preparing linked series. For the common period, the index series are available with both old weights & new weights for linking the two series.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011 except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-Products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

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

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. The earlier sampling design had been adopted from ASI 2007-08 to ASI 2011-12. From ASI 2012-13, a new sampling design has been adopted following the recommendation of Dr. S. L.Shetty Committee and approved by the SCIS subsequently. According to the new sampling design, all the factories in the updated frame are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector consists of the following units: a) All industrial units belonging to the six less industrially developed states/ UT's viz.Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT's., (i) units having 100 or more employees, and (ii) all factories covered under Joint Returns. c) After excluding the Census scheme units, as defined above, all units belonging to the strata (District x 4 digit NIC 2008) having less than or equal to 4 units are also considered under Census Scheme.

Sample Sector Remaining units, excluding those of Census Sector, called the sample sector, are arranged in order of their number of employees and samples are then drawn circular systematically considering sampling fraction, say 20%, within each stratum (District X Sector X 4-digit NIC) in the form of 4 independent subsamples. This will be done for each district and thus, for each State/UT. An even number of units with a minimum of 4 are selected from each stratum and evenly distributed in four subsamples. The sectors considered here are 'Bidi', 'Manufacturing' and 'Electricity'.

Allocation of Samples: All the units belonging to the Census Sector together with selected units of 2 sub-samples, say, of sub-samples 1 and 3 will form the central sample and information for these units will be collected and processed by the Central Agency (i.e., NSSO and CSO(ISW)). After selecting the central sample in the way mentioned above, the units selected for the remaining 2 sub-samples, say, of sub-samples 2 and 4 will be allocated for each State/UT separately. Validated state-wise unit-level data of the central sample will also be sent to the states for pooling this data with their surveyed data to get a combined estimate at the sub-state level

Mode of data collection

Statutory return submitted by factories as well as Face to Face.

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS - directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether they are imported directly by the unit or not, should be recorded in Block I. Moreover, any imported item, irrespective of whether it is a basic item for manufacturing or not, should be recorded in Block I. Hence 'consumable stores' or 'packing items', if imported, should be recorded in Block I and not in Block H.

BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit) - In this block information like quantity manufactured, quantity sold, gross sale value, excise duty, sales tax paid and other distributive expenses, per unit net sale value and ex-factory value of output will be furnished by the factory item by item. If the distributive expenses are not available product-wise, the details may be given on the basis of reasonable estimation.

Cleaning operations

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

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

This feature layer represents Sustainable Development Goal indicator 1.2.2 'Proportion of Men, Women and Children of All Ages Living in Poverty in All its Dimensions' for Ireland, 2018. The layer was created using deprivation rate data from the Survey on Income and Living Conditions (SILC) produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann. The dataset includes deprivation rates from 2004 through to 2018.The NUTS3 boundaries were amended on the 21st of November 2016 (Regulation (EC) No 2066/2016). Data for years 2004-2011, inclusive, refer to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003) (more info). Data for years 2012-2018 refer to the current NUTS3 boundaries. The changes resulting from the amendment are that Louth has moved from the Border to the Mid-East and what was formerly South Tipperary has moved from the South-East to the Mid-West. An overall value for State is also included within this feature service, however to symbolise by NUTS3 region this value has been filtered out of the map view. The filter can be removed by clicking on the filter icon in the map viewer. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.