Abstract

The National Consumer Survey is a module of the National Integrated Survey of Households (NISH). Other modules of the programme include the General Household Survey, the Labour Force Survey, the Family Planning Survey and the Rural Agricultural Sample Survey.

Geographic coverage

National

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

This statistic shows the consumption of bagels in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, ****** million Americans consumed bagels in 2020.

The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.

Abstract

The EPC-Customer Satisfaction Survey 2014 collected information to obtain and establish a baseline for customer's satisfaction on the EPC services and to identify the areas of the corporation's services that need improvement. The CSS results are planned to provide updated information to design new strategies for improving the services of the corporation. The overall outcome of the CSS 2014 is to assist and recommend relevant strategies to improve and upgrade the service of the EPC to its clients.The Customer Satisfaction Survey 2014 was conducted on the domestic or household level as well as all the other types of customers registered with the corporation.

Geographic coverage

National Regional

Analysis unit

EPC customers such as domestic, commercial, school, religion, government, industrial, hotels

Universe

EPC users or customers

Kind of data

Sample survey data [ssd]

Sampling procedure

There were seven types of customers, namely: domestic, commercial, religion, school, government, hotel and industrial in the EPC frame or their list of population which was given to SBS for sampling selection. It took several months for both parties to sort the list of registered customers with the corporation especially the domestic clients, so that they can be easily searched and identified during the field work or data collection period, therefore the SBS offered it list of households as part of domestic customers for the EPC to avoid the delay with the survey timeframe.

The total number of households with SBS was 26,205 which were counted from the latest census of population and housing 2011. Out of that total households with SBS, 25,262 or 96percent of households were with electricity. The total number of customers proposed by the corporation was about 200 in which 100 from the domestic and 80 from the other types of customers, however to accommodate the non response cases, the SBS increased the sample size to 250 in which 150 were from household or domestic customers and 100 from other types of customers.

Household/domestic sample

The sample of domestic customers for the CSS 2014 was drawn from the master sample frame of the list of occupied households compiled in the most recent Population and Housing Census 2011. The sample size was based on a 95 percent confidence interval of ± 5 percent margin of error. This means that if the survey found that 50 percent of respondents were satisfied with induction meter services of EPC, we could be 95 percent sure of getting the same result had we interviewed everyone in the population give or take 5 percent. An 80 percent response rate and a design-effect of 1.2 was used to allow for clustering of the complex design. After taking into account all those features, it resulted in the required sample size of 150 selected households.

In national statistical surveys, the region of Apia Urban Area (AUA) represented the urban population while the regions of North West Upolu (NWU), Rest of Upolu (ROU) and Savaii represented the rural population. Therefore in order to achieve the sample size of 150 for the domestic customers, a representative probability sample of households was selected in two stages.

The first stage involved the selection of clusters or enumeration area (EAs) from the master sample frame using stratified systematic sampling with probability proportional to size. A total of 30 primary sampling units or clusters were selected in which 6 clusters were from the urban areas and 24 clusters were selected from the rural areas. The design did not allow for replacement of clusters or households.

In the second stage, a total of 5 households were selected from each cluster using systematic equal probability selection. Normally an updated household listing from selected clusters could have been done to select 5 households. However, due to the delay in sorting of customers list and it was towards the end of the year, and the fact that the census 2011 was just completed in the previous three years, it was seen not necessary to conduct a fresh household listing which would have taken SBS another two months to carry out causing delay to the survey.

Other Types of Customers

The sample for the CSS other types of customers such as commercial, religion, school, government, hotel and industrial was drawn from the master sample frame of the list of all the 3767 customers registered with the EPC . The commercial type has 2587 customers, religion with 751customers, school with 229 customers, governments with 118 customers, hotels with 75 customers and industries with 47 customers .The sample size was based on a 95 percent confidence interval of ±5 percent margin of error, assuming an 80 percent response rate. To achieve a representative probability sample, the systematic method was used to select the 100 customers of other 6 types apart from the domestic customers.

Mode of data collection

Face-to-face [f2f]

Research instrument

A structured English questionnaire was prepared by the EPC team to collect the feedback from the corporation's customers. However, SBS made some improvements in terms of instructions between questionnaire sections in order to make the interviewing flow properly from beginning to end. The questionnaire was also translated into the Samoan language to complement the English questionnaire so that the interpretation of questions by the field enumerators was consistent in the field. A cover page of the questionnaire was also developed so that selected customer's identifications were clearly noted. The options for the survey status were also listed to account for non-coverage of EPC customers during the fieldwork. The Survey Questionnaire consists of four sections with a cover page in the beginning for the Identification of selected households and other types of customers. Section A has seven questions about the type of meters the customers used and the service provided by EPC to pay bills and buy cash power units, and open questions to state some reasons why the customers were not satisfied with the service given by the EPC, areas of paying of electricity bills and selling cash power units. Section B contains five questions on the management of complaints lodged to the corporation and the satisfaction of service provided. Section C asked two types of questions in which one was a rating question on the perception of the customers of the EPC service, and the second was a ranking question of the mediums that the public used to get EPC public awareness. Section D was open for the customers to list any of their comments about the service of EPC for improvement.

Cleaning operations

After coding, the computer data program was created using CSPro 5 software for data entry. After testing the program, the data entry was conducted in one week (March 24th-28th). The data editing, cleaning and weighting of the data took another two weeks (April 1st-11th) to complete, leaving three weeks (April 14th - May 2nd) to analyse and write the analysis report to meet the deadline.

Data editing was done using writing option in CSPro 5.0.

Response rate

A total of 150 households were selected to represent the domestic customers and 139 households were occupied during the field work period. Of the occupied households only 133 were successfully interviewed resulting in a household response rate of 95.7 percent. The 6 households which were selected but not able to answer the questionnaire because of they had no access to electricity during the survey period; most of them were in the island of Savaii.

For other types of EPC customers in which 100 were selected, only 97 customers were found during the survey period. From these customers, 94 were able to complete the survey while the others were no longer operating due to the following reasons: one was destroyed by tsunami, another changed its customer type, and the last was not in the location previously identified in the list of sample respondents.

This is explained in the final analytical report.

Sampling error estimates

Any survey will be affected by sampling errors and non-sampling errors. The latter is difficult to measure but can be greatly reduced by the application of high quality survey management, efficient field supervisions, skilful enumerators, good control of data coding and data processing, sufficient resources, etc. Sampling errors are usually calculated using relevant sampling estimation formulae and computer programs. For the CSS 2014, the variance formula for complex design was used to calculate sampling errors. Dr Ren Ruilin of ICF Macro developed specific sampling error estimation templates in Excel for use by developing countries like Samoa where expensive computer programs like SAS could not be purchased. The Excel templates used the Taylor linearization method of variance estimation for survey estimates like means and proportions. The design effect (DEFT) for each estimate was also calculated whereby a DEFT value of 1.0 indicates that the complex design used was just as efficient as the simple random sampling and a value more than 1 indicates an increase in sampling error due to the design and vice versa. In addition, the confidence limits of 95 percent can also be estimated for each variable which provides the range of values for which the true value falls.

Details of sampling errors are presented in the sampling errors appendix of the report.

Data from a report that presents findings of a survey of National Careers Service (NCS) users. The research looked at customer satisfaction with the service and their progression after their telephone call, meeting with an adviser or visit to the website. The survey took place between April 2012 and March 2013.

In 2024, the value of the national customer satisfaction index (NCSI) of Pusan National University in South Korea reached ** out of 100. The lowest-ranked university was Jeju National University, at ** points.

Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Likely data was reported at 11.000 % in Jan 2018. This records an increase from the previous number of 10.000 % for Dec 2017. Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Likely data is updated monthly, averaging 12.000 % from Jan 1996 (Median) to Jan 2018, with 265 observations. The data reached an all-time high of 20.560 % in Aug 2002 and a record low of 7.000 % in Mar 2009. Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Likely data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.H009: Consumer Survey: National Institute of Economic Research. Data before July 2002 is '24 Months' instead of '12 Months'.

Covers satisfaction levels with AccessNI's customer service, including Communication, the Customer Service Helpline and the website.

Source agency: Finance and Personnel (Northern Ireland)

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: AccessNI Customer Survey - Report

Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Unlikely data was reported at 59.000 % in Jan 2018. This records a decrease from the previous number of 63.000 % for Dec 2017. Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Unlikely data is updated monthly, averaging 63.000 % from Jan 1996 (Median) to Jan 2018, with 265 observations. The data reached an all-time high of 71.000 % in Feb 2016 and a record low of 44.500 % in Jan 2000. Sweden Consumer Survey: KI: Car Purchase: in 12 Months: Very Unlikely data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.H009: Consumer Survey: National Institute of Economic Research. Data before July 2002 is '24 Months' instead of '12 Months'.

This publication contains the detailed analysis from the Driver and Vehicle Agency Annual Customer Satisfaction Survey.

Source agency: Environment (Northern Ireland)

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: DVA Annual Customer Satisfaction Survey 2011 – Full Report

According to the National Customer Satisfaction Index (NCSI) 2023, Netflix scored the highest customer satisfaction index among over-the-top (OTT) streaming services in South Korea, at ** out of 100 points. Other services indexed scored similarly high, with the lowest scoring ** points.

Abstract

The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. The National Sample Survey Office (NSSO) conducts regular consumer expenditure surveys as part of its "rounds," each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO has been collecting information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.

Geographic coverage

The survey covers the whole of the Indian Union except:

(i) Leh (Ladakh), Kargil, Punch and Rajauri districts of Jammu & Kashmir (ii) interior villages of Nagaland situated beyond five kilometres of a bus route
(iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year

Analysis unit

-Households -Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design: A stratified multi-stage design was adopted for the 62nd round survey. The First Stage Units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The Ultimate Stage Units (USU) were households in both the sectors. In the case of large villages/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU.

Sampling frame: The list of villages as per census 2001 was used as frame for the rural sector and the latest available list of Urban Frame Survey (UFS) blocks was used as frame in the urban sector.

Stratification: Within each district of a State/ UT, two basic strata were formed: (i) Rural stratum comprising of all rural areas of the district (ii) Urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.

For more detailed description of the sampling procedure, refer to the file titled "Introduction: Concepts, Definitions and Procedures " that is provided as an external resource.

Sampling deviation

The survey period of this 62nd round was divided into four sub-rounds of three months' duration each to spread the survey workload uniformly. Because of the arduous field conditions, sub-round restriction was not strictly enforced in Andaman and Nicobar Islands, Lakshadweep, rural areas of Arunachal Pradesh and Nagaland.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 1.0 on consumer expenditure for NSS 62nd round consisted of 12 blocks that are listed below.

Blocks 0, 1 and 2: Similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations. Block 3: Household characteristics. Block 4: Particulars of household members. Block 5: Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days. Block 6: Consumption of fuel & light during the last 30 days. Block 7: Consumption of clothing, bedding, etc. during the last 365 days. Block 8 : Consumption of footwear during the last 365 days. Block 9 : Expenditure on education and medical (institutional) goods and services during the last 365 days. Block 10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days. Block 11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days. Block 12: Summary of consumer expenditure.

This statistic shows the number of packages of paper napkins used within one month in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, ***** million Americans used * or more packages of paper napkins in 2020.

This record is part of 'The Customer Satisfaction Index of Singapore (CSISG) Annual Dataset Collection 2007-2022', providing raw data set, datamap and questionnaires for 2015. For related datasets across other years, refer to the full collection here: https://doi.org/10.25440/smu.c.6906043The Customer Satisfaction Index of Singapore (CSISG) is a landmark measure of customer satisfaction cutting across a variety of key sectors and sub-sectors in the services industry of Singapore. The study was produced and updated on an quarterly and annual basis from 2007 to 2022. First launched in April 2008, the CSISG is an independent and qualitative indicator of the Singapore economy. It covers 8 core economic sectors, more than 20 sub-sectors and numerous companies from the Air Transport Finance, Food & Beverage, Info-communications, Insurance, Land Transport, Retail, and Tourism industries. This national barometer of customer satisfaction in the Singapore economy serves as an objective gauge of service competitiveness between businesses, industries, and even countries. As it reports the overall customer satisfaction scores of every sector and sub-sector, including a ranking of the companies measured, the CSISG serves as an invaluable benchmarking tool across industries in the services sector.The methodological foundations of the Customer Satisfaction Index of Singapore can be traced to the American Customer Satisfaction Index (ACSI), developed by the National Quality Research Centre (NQRC) at the University of Michigan. The American Customer Satisfaction Index has been the standardised measure of customer satisfaction in the US economy since 1994.The Customer Satisfaction Index of Singapore is based on econometric modelling of data obtained from interviews with actual users of products and services.

This statistic shows the National Customer Satisfaction Index (NCSI) of open markets in South Korea in 2020. That year, customer satisfaction index of Gmarket measured ** out of 100 index points.

Distribution of participants among consumer groups.

The National Compensation Survey (NCS) provides comprehensive measures of occupational wages; employment cost trends, and benefit incidence and detailed plan provisions. Detailed occupational earnings are available for metropolitan and non-metropolitan areas, broad geographic regions, and on a national basis. The index component of the NCS (ECI) measures changes in labor costs. Average hourly employer cost for employee compensation is presented in the ECEC.

Covers satisfaction levels with the Department's customer service both overall and relating to specific themes, such as Communication.

Source agency: Northern Ireland Statistics and Research Agency

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: DFP Customer Survey - Report