Abstract

The main objective of undertaking this survey of 2019 is to generate data that are statistically representative for urban businesses operating in the country with a fixed location; with the aim of bridging the information or data gaps those were created by the conflict on businesses in the country.

The specific objectives will be to:

• Obtain the spread of businesses by economic activity
• Determine the employment in businesses by sex
• Determine the ownership status of businesses
• Determine the location of businesses in the country
• Determine the age of businesses and status of computer use and ownership.
• Determine the cost and profit structure of businesses as well as the inventory
• Determine the perception of regulations and doing business
• Determine the impact of the conflict on businesses

Geographic coverage

Coverage of business establishments in the 12 most populated urban areas of South Sudan in 2019. Towns included are Aweil, Bor, Juba, Kuajok, Maridi, Nimule, Renk, Rumbek, Tonj, Torit, Wau and Yambio.

Analysis unit

Businesses

Kind of data

Sample survey data [ssd]

Sampling procedure

The IBES 2019 generated the required Business Register for business establishments in South Sudan, which can be used for any business establishment survey. For enterprise surveys, an Establishment Censuses (EC) or business registries undertaken by a country at regular intervals generally provide the sampling frame, giving a count of enterprises and workers by broad industry group at the primary level of geographical units. In South Sudan there is no establishment census or useable business registry that has ever been undertaken, and in such circumstances, the listing of businesses/enterprises and workers by broad industry group in the concerned geographic areas was used as the only option. As it was done for the IBES 2010, the listing of all enterprises and workers (in formal and informal sectors) by broad industry group for the selected 12 major towns/cities that took place in June-July 2018 listed 13, 348 businesses that served as the sampling frame for the IBES 2019. This listing process collected minimum required information for sampling frame purposes, such as name and location of each business establishments, the main economic activity of the business in ISIC format, number of workers/employees, registration status, maintaining regular accounts or not and the year of establishment, among others.

Formal and Informal Sectors: The existing definition of formal business used in IBES 2010 as described above had limitations due to the fact that it did not consider the registration status with tax government agency (i.e. value added tax and/or income tax), and the status of keeping accounts, which was recommended and implemented in IBES 2019. The required information for the new definition of “formal sector” was also collected during the listing operation.

Using the information collected from the listing operation, about 55 percent of listed business establishments were formal irrespective of the employment size. However, when the employment size factor was considered, i.e. adding a third condition of having 6 or more employees (Medium and Large business establishments), only about 10.7 percent of business establishments were classified as “formal sector”. Given also the fact that the average number of employees per surveyed enterprises in 2010 was 2.7, and that about 58.7 percent of listed business establishments had 0-2 employees, it was highly important to have proper definition of Micro, Small, Medium and Large enterprises in terms of number of employees for sampling purposes. Based on the information of the IBES 2019 listing operation, table 3 describes the distribution of listed business establishments by different size of employment. It is observed that 13.8 percent of listed business establishments are classified as medium and large.

Sampling and stratification: The IBES 2019 sampling frame includes 13,348 business establishments from both formal and informal sectors based on the new definition. In order to improve the sampling efficiency for business surveys, it was important to stratify the business enterprises in the frame by size of employment, generally defined in terms of the total number of employees. Therefore, the frame was stratified by the following categories of employment size:

• 0-2 employees
• 3-5 employees
• 6-9 employees
• 10+ employees

The reasons of proposing these categories of employment size for stratification are that in developing countries, business environment is largely composed of informal sector where the majority of business establishments are micro and small in nature. For example, many business establishments are small shops in the neighborhood, and often owned by households, and most of the time, the family will employee 1 or 2 people to work in such shops. For business surveys, it is very important to stratify them under such small employment size to capture the reality on the ground. The same employment size category is also used to allow comparability with IBES 2010 survey. Given the important contribution of the medium and larger business enterprises to the value of production, capital investment, value added and other measures of the economy, and comparability with IBES 2010, it was important to include all the business establishments with 6 or more employees in the IBES 2019 sample with certainty (that is, with a probability of selection equal to 1). Therefore, there were 1,838 business establishments with 6 or more employees for all economic sectors in the sampling frame.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is structured.

Response rate

The response rate for the IBES 2019 was 87 percent.

Content

This data contains the result of the World bank enterprise Survey from 2011 to 2020. Enterprise Surveys provide firm-level data from over 125,000 establishments in 146 countries. Data are used to create over 100 indicators that benchmark the quality of the business environment across the globe. Each country is surveyed every 3 to 4 years.

Detailed information about the data

Abstract

The survey was conducted in Madagascar between November 2013 and May 2014 through "Madagascar: Integrated Growth Poles Project." The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

Data from 532 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Madagascar was selected using stratified random sampling. Three levels of stratification were used in this country: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into four manufacturing industries (food, textiles and garments, chemicals and plastics, other manufacturing) and two service sectors (retail and other services).

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees).

Regional stratification for the Madagascar ES was defined in eight regions: Analamanga, Anosy, Atsimo Andrefana, Atsinanana, Boeny, Diana, Nosy be, and Vakinankaratra.

For the Madagascar ES, a single sample frame used from Institut National de la Statistique de Madagascar (l'INSTAT).

The sample design for the Madagascar Enterprise Survey was generated with the aim of obtaining interviews at 589 establishments. Establishments with undefined size were included as part of this single sample frame for Madagascar in order to ensure a representative sample. Size information collected during the survey process was used to categorize these firms into their respective bins.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 37% (1,182 out of 3,183 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire - Services Module Questionnaire

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of interviews per contacted establishments was 0.31. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.068.

Center for Enterprise Research of Peking University is devoted to the collection and connection of enterprise big data, the integration of enterprise big data and data from enterprise survey for innovation and entrepreneurship in China, and conducts academic and policy research based on enterprise data to provide intellectual support for the formulation of national policies and for the market players to make well-informed decisions. We had conducted three pre-surveys. In April 2016, Enterprise Survey for Innovation and Entrepreneurship in Jiangmen Prefecture, Guangdong Province surveyed 2,800 enterprise and individual household business in 4 counties in 3 districts. In July to August 2016, Enterprise Survey for Innovation and Entrepreneurship in Xiayi Country, Henan Province and surveyed 350 enterprise and individual household business. In July to August 2017: Enterprise Survey for Innovation and Entrepreneurship in Henan Province. This pre-survey had a total of 6,400 enterprise and individual household business survey samples in 16 counties, prefectures, and districts. Targeting private and foreign-owned enterprises registered in China from 2010 to 2017, the baseline survey of Enterprise Survey for Innovation and Entrepreneurship in China will be conducted in summer 2018. The sample includes a total of 58,500 corporations and individual household businesses in 117 counties and districts in Liaoning Province, Shanghai Municipality, Zhejiang Province, Henan Province, Guangdong Province and Gansu Province. The content of the survey mainly surrounds entrepreneur's entrepreneurial history and enterprise's creation process, basic information, operating conditions, innovation, network relationships, and business environment.

Discover the booming market for enterprise online survey software & tools. This in-depth analysis reveals market size, growth trends (CAGR), key players (Qualtrics, SurveyMonkey, etc.), regional insights, and future projections to 2033. Learn how advanced analytics, AI, and cloud solutions are shaping this dynamic sector.

This statistic shows the level of integration of data and analytics in various business areas worldwide, according to a 2016 survey. As of 2016, ** percent of respondents stated that data and analytics were integral to all decision-making in monitoring business performance via financial reporting.

This study tests for potential bias in self-reported innovation due to the inclusion of a research and development (R&D) module that only microbusinesses (less than 10 employees) receive in the Annual Business Survey (ABS). Previous research found that respondents to combined innovation/R&D surveys reported innovation at lower rates than respondents to innovation-only surveys. A regression discontinuity design is used to test whether microbusinesses, which constitute a significant portion of U.S. firms with employees, are less likely to report innovation compared to other small businesses. In the vicinity of the 10-employee threshold, the study does not detect statistically significant biases for new-to-market and new-to-business product innovation. Statistical power analysis confirms the nonexistence of biases with a high power. Comparing the survey design of ABS to earlier combined innovation/R&D surveys provides valuable insights for the proposed integration of multiple Federal surveys into a single enterprise platform survey. The findings also have important implications for the accuracy and reliability of innovation data used as an input to policymaking and business development strategies in the United States.

The Enterprise Online Survey Software and Tools market is poised for significant expansion, projected to reach an estimated market size of $7,500 million by 2025, with a projected Compound Annual Growth Rate (CAGR) of 12% through 2033. This robust growth is fueled by an increasing reliance on data-driven decision-making across all business functions. Key drivers include the escalating need for customer feedback, employee engagement surveys, market research, and product development insights. Businesses of all sizes, from Small and Medium-sized Enterprises (SMEs) to Large Enterprises, are actively adopting these tools to gain a competitive edge. The market is segmented into Basic Survey Tools, Advanced Data Analysis Tools, and Customized Survey Tools, with a clear trend towards the adoption of more sophisticated solutions offering advanced analytics, AI-powered insights, and seamless integration with existing CRM and business intelligence platforms. The value unit for this market is in millions of USD. The competitive landscape is characterized by the presence of major global players like Qualtrics, SurveyMonkey, and Zoho, alongside innovative regional and specialized providers. Emerging economies, particularly in Asia Pacific, are expected to be significant growth engines due to increasing digital transformation initiatives and a burgeoning SME sector. However, challenges such as data privacy concerns and the complexity of integrating survey data with disparate internal systems may present moderate restraints. Despite these hurdles, the overarching demand for actionable insights from surveys will continue to drive market adoption. The forecast period from 2025 to 2033 is anticipated to witness a continuous upward trajectory, as organizations further embed survey methodologies into their strategic planning and operational execution, ultimately leading to enhanced customer satisfaction and business performance. This report provides a comprehensive analysis of the Enterprise Online Survey Software and Tools market, spanning the historical period of 2019-2024, with a base year of 2025 and a forecast extending to 2033. Our extensive research anticipates a significant market valuation in the millions, reflecting the growing reliance of businesses on efficient data collection and analysis solutions.

The global Customer Survey Software market is poised for significant expansion, projected to reach a substantial market size by the end of the forecast period. With a robust Compound Annual Growth Rate (CAGR) of approximately 12%, driven by the increasing need for businesses to gather customer feedback for product development, service improvement, and enhanced customer experience, this market is on a strong upward trajectory. The proliferation of cloud-based solutions is a primary driver, offering scalability, accessibility, and cost-effectiveness for businesses of all sizes. Furthermore, the growing emphasis on data-driven decision-making across industries, from SMEs seeking to understand their niche customer base to large enterprises aiming for comprehensive market insights, fuels the demand for sophisticated survey tools. Innovations in survey design, analytical capabilities, and integration with CRM and marketing automation platforms are also contributing to market growth, enabling businesses to capture richer, more actionable data. Key trends shaping the Customer Survey Software market include the rising adoption of AI-powered analytics for sentiment analysis and automated report generation, offering deeper insights from qualitative feedback. The demand for omnichannel feedback collection, integrating surveys across web, mobile, email, and in-app channels, is also gaining momentum. However, challenges such as data privacy concerns and the increasing saturation of the market with numerous vendors could moderate growth. Despite these restraints, the inherent value of understanding customer sentiment and behavior ensures a sustained demand for these solutions. The market is characterized by a competitive landscape with established players and emerging innovators focusing on niche functionalities and user experience, ultimately benefiting end-users with a wider array of advanced tools. Here's a report description for Customer Survey Software, incorporating your requirements:

The data set records the comprehensive business climate index of enterprises in Qinghai Province. The data is divided according to the comprehensive business climate index of enterprises in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Enterprise business climate index 2000-2001.xls Business climate adjustment business comprehensive business climate index 2001-2002.xls Business climate adjustment business comprehensive business climate index 2002-2003.xls Business climate adjustment business comprehensive business climate index 2004-2005.xls Business climate adjustment business comprehensive business climate index 2005-2006.xls Business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate index in 2008 Business climate adjustment business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the data table of business climate index 2009-2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter

This statistic depicts the results of a survey about the leading challenges in overseas business management according to enterprises in China as of ***********. During the survey period, around ** percent of the participated Chinese enterprises stated that a challenge for their enterprise relating to overseas business management was corporate cultural integration.

Replication Data for: Research paper preprint "An integrated model for acceptance of cloud technologies in large enterprises" Survey result data on Cloud computing adoption modeling

Brazil Number of Enterprise & Other Organisation: 500 Persons & More: IC: Editing & Integrated Publishing data was reported at 18.000 Unit in 2017. This records a decrease from the previous number of 19.000 Unit for 2016. Brazil Number of Enterprise & Other Organisation: 500 Persons & More: IC: Editing & Integrated Publishing data is updated yearly, averaging 28.000 Unit from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 34.000 Unit in 2007 and a record low of 18.000 Unit in 2017. Brazil Number of Enterprise & Other Organisation: 500 Persons & More: IC: Editing & Integrated Publishing data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SH010: Enterprise Industry: No of Enterprise and Other Organization: by Industry: 500 Persons and More.

The global enterprise governance, risk & compliance market is expected to grow at a CAGR of nearly 14.0% and is anticipated to reach over USD 77,500 million by 2026.

The global Form Builder Tool market is poised for significant expansion, projected to reach an estimated market size of approximately $4,500 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of around 11.5% throughout the forecast period (2025-2033). This growth trajectory is primarily propelled by the increasing demand for streamlined data collection and customer engagement solutions across diverse business sectors. Small and Medium-sized Enterprises (SMEs) are increasingly adopting these tools to enhance their operational efficiency, gather customer feedback, and generate leads without the need for extensive IT infrastructure. Furthermore, the growing emphasis on digital transformation initiatives globally is fueling the adoption of cloud-based form builder solutions, offering greater accessibility, scalability, and cost-effectiveness compared to on-premises alternatives. Key drivers include the need for automation in business processes, the rise of online businesses requiring effective customer interaction platforms, and the continuous innovation in features such as advanced analytics, conditional logic, and integration capabilities with other business software. The market is characterized by a dynamic competitive landscape with established players and emerging innovators, all striving to capture market share through feature-rich offerings and competitive pricing. Major trends include the integration of AI and machine learning for intelligent form design and data analysis, a focus on enhanced user experience and customization options, and the development of specialized form builders tailored for specific industries like e-commerce, healthcare, and education. While the market is expanding rapidly, certain restraints may temper growth, including data security and privacy concerns among users, potential integration challenges with legacy systems for some organizations, and the increasing cost of advanced features which might be a barrier for very small businesses. Despite these challenges, the fundamental need for efficient data capture and management will continue to drive sustained growth in the form builder tool market, with North America and Europe expected to remain dominant regions due to their advanced digital infrastructure and high adoption rates of SaaS solutions. Here is a report description for a Form Builder Tool, designed to be informative and directly usable:

Abstract

The 2015/16 Kenya Integrated Household Budget Survey (KIHBS) was conducted over a 12-month period to obtain up-to-date data on a range of socioeconomic indicators used to monitor the implementation of development initiatives. The Survey collected data on household characteristics, housing conditions, education, general health characteristics, nutrition, household income and credit, household transfers, information communication technology, domestic tourism, shocks to household welfare and access to justice. The findings are presented at national, county, rural and urban domains.

Household Characteristics The findings of the 2015/16 KIHBS basic characteristics of the population show that the sex ratio is 97.5. About 70 per cent of households were headed by males and the reported average household size was 4 members. The age dependency ratio declined to 81.6 per cent in 2015/16 KIHBS as compared to 84.0 per cent recorded in 2005/06 KIHBS. Majority (54.4%) of the population aged 18 years and above are in monogamous unions. At the national level, 8.4 per cent of children were orphans.

Housing Conditions and amenities Information regarding housing conditions and ownership, access to water, energy, sanitation and waste disposal was collected in the 2015/16 KIHBS. Bungalow was the most common dwelling type of housing occupied by 55.4 per cent of the households. About 60 per cent of households reported that they owned the dwellings that they resided in. The findings show that 72.6 per cent of households use improved drinking water sources. The statistics show that six out ten households had access to improved human waste disposal methods. Overall, 41.4 per cent of households were connected to electricity from the main grid.

Education Findings on education are presented for; pre-primary, primary, secondary, middle level college and university levels; and informal education, Madrassa/Duksi. Nationally, 89.4 per cent of the population aged three years and above had ever attended school. The overall Gross Attendance (GAR) for pre-primary, primary and secondary levels was 94.4 per cent, 107.2 per cent and 66.2 per cent, respectively. The population aged 3 years and above that did not have any educational qualification was 49.7 per cent. Most of the population aged 3 years and above that had not attended school cited not being allowed to attend by parent(s) as the reason for non-attendance. The proportion of the population aged 15-24 years that was literate, based on respondents' self -assessment, was 88.3 per cent.

General Health Characteristics General health characteristics discussed in the report comprise: morbidity by sex, health seeking behaviour, utilization of health care services and facilities, disability and engagement in economic activities and health insurance coverage. Information on child survival such as place of delivery, assistance during delivery, immunization and incidences of diarrhoea is also presented. The results show that two out of ten individuals reported a sickness or injury over the four weeks preceding the survey. Majority of the individuals (55.5 %) with a sickness or injury visited a health worker at a health facility for diagnosis. Disabilities were reported by 2.8 per cent of the population. Slightly more than a third of persons with disabilities reported having difficulty in engaging in economic activities. moderately stunted. A higher proportion (32.4%) of children in the rural areas were moderately stunted compared to those in urban areas (24.5%). Overall, 13.0 per cent of children were moderately wasted while 6.7 per cent were moderately underweight. The statistics further indicate that 98.8 per cent of children aged 0-59 months were ever breast fed. The mean length of breastfeeding nationally stood at 16.8 months. Porridge was the most common type of first supplement given to majority (35.9%) of children aged 0-23 months. The survey findings show that eight out of ten children participated in community-based nutritional programmes.

Household Income and Credit Household income is the aggregate earnings of all household members. It includes all forms of income arising from employment, household enterprises, agricultural produce, rent, pension and financial investment. The discussion in this report focuses on income from rent, pension, financial investment and other related incomes. Information is also provided on access and sources of credit. At national level, 7.2 per cent of households reported having received income from rent, pension, financial investment and other related incomes within the 12 months preceding the survey. A third of the households sought credit and over 90 per cent successfully acquired credit.

Household Transfers Transfers constitute income, in cash or in kind, that the household receives without working for it and it augments household income by improving its welfare. Three out of ten households reported having received cash transfers within the 12 months preceding the survey period. The average amount received per household from cash transfers was KSh. 27,097. Majority of households received cash transfers through a family member. Money transfer agents were the preferred mode of transmitting money for most beneficiaries of transfers received from outside Kenya. Over half of the households gave out transfers in kind.

Information and Communication Technology The 2015/16 KIHBS collected information on ICT equipment use and ownership. Findings show that three in every four individuals aged 18 years and above owned a mobile phone with an average number of 1.3 SIM cards per person. The most commonly used ICT equipment is the radio and mobile phone, reported by 79.3 per cent and 68.5 per cent of individuals aged 3 years and above, respectively. The highest proportion (50.3%) of those that did not own a mobile phone cited its high cost as the reason. Urban areas had the highest proportion of population with ownership of a mobile phone. Nairobi City County had the highest proportion of population with a mobile phone while Turkana County had the lowest. The population aged 3 years and above that reported using internet over the last three months preceding the survey was 16.6 per cent. Three in every ten households had internet connectivity and use of internet in mobility was reported as the most common place of use of internet. The internet was used mainly for social networking. No need to use the internet was the most predominant reason for not using the internet reported by 30.1 per cent of those who did not use it.

Domestic Tourism Domestic tourism comprises activities of residents travelling to and staying at least over a night in places outside their usual environment within the country, for not more than 12 months, for leisure, business or other purposes. At national level, 13.4 per cent of individuals reported that they travelled within Kenya in the 3 months preceding the survey. Visiting friends and relatives was reported by the highest proportion (71.1%) of individuals taking trips. Majority of those who took a trip (66.4%) reported that they sponsored themselves. Transport costs accounted for the largest share (38.4%) of expenditure on domestic tourism. Majority of those who did not take a trip reported high cost as a reason.

Shocks to Household Welfare A shock is an event that may trigger a decline in the well-being of an individual, a community, a region, or even a nation. The report presents information on shocks which occurred during the five-year period preceding the survey and had a negative impact on households' economic status or welfare. Three in every five households reported having experienced at least one shock within the five years preceding the survey. A large rise infood prices was reported by the highest proportion (30.1 per cent) of households as a first severe shock. Most households reported that they spent their savings to cope with the shock(s).

Justice The survey sought information from household members on their experiences regarding grievances/disputes, resolution mechanisms, status of grievance/dispute resolution and costs incurred. Majority of households (26.2%) experienced grievances related to succession and inheritance. Approximately seven out of ten households that experienced grievances reported that they were resolved by parties from whom they sought interventions. Lawyers on average received the highest amount of money (KSh 59,849) paid to a primary organization for grievance resolution through a formal channel. Courts accounted for the highest informal costs averaging KSh 6,260 in grievance resolution.

Geographic coverage

The survey covers all the Counties in Kenya based on the following levels National, Urban, Rural and County

Analysis unit

Households Indviduals within Households and Community

Kind of data

Sample survey data [ssd]

Sampling procedure

Design and Sample Selection The second Kenya Integrated Household Budget Survey 2015/16 will be the eighth household budget survey to be conducted in Kenya following those conducted in 1981/82, 1983/84, 1992, 1994, 1997 and 2005/06. The KIHBS 2015/16 is a multi-indicator survey in nature with the main objective of updating the household consumption patterns in all the Counties.

KIHBS 2015/16 is designed to provide estimates for various indicators at the County-level. A total of 50 study domains are envisaged. These are; all the forty-seven (47) counties (Each as a separate domain), urban and rural (each as a separate domain at National level), and lastly the National-level aggregate.

Sampling frame The sampling frame used for KIHBS 2015/16 is the fifth National Sample Survey and Evaluation Program (NASSEP V) master frame developed from the Population and Housing Census (KPHC) conducted in

The global in-building wireless market, which was projected at around USD 9.27 billion in 2019, is expected to reach USD 20.88 billion by 2026, and is growing at a CAGR of 12.3 % during the forecast years.

Survey Platform Market Outlook

According to our latest research, the global survey platform market size reached USD 6.2 billion in 2024, propelled by the rising demand for digital feedback solutions and robust adoption across diverse industries. The market is expected to expand at a CAGR of 12.7% during the forecast period, with the value projected to reach USD 18.1 billion by 2033. The accelerating digital transformation initiatives and the growing need for actionable insights have been key drivers fueling this remarkable growth trajectory in the survey platform market.

One of the primary growth factors for the survey platform market is the rapid digitalization of business operations worldwide. Organizations across various sectors are increasingly prioritizing data-driven decision-making, which necessitates efficient and scalable feedback mechanisms. Survey platforms have emerged as indispensable tools, enabling businesses to capture, analyze, and act upon customer, employee, and market insights in real time. The proliferation of smartphones and internet connectivity has further facilitated the adoption of online survey solutions, allowing organizations to reach broader and more diverse respondent bases. Moreover, the integration of advanced analytics, artificial intelligence, and automation features within survey platforms has significantly enhanced their value proposition, driving market expansion and innovation.

Another significant growth catalyst is the heightened focus on customer experience management and employee engagement. As competition intensifies across industries, organizations are leveraging survey platforms to gain a deeper understanding of customer preferences, pain points, and satisfaction levels. Similarly, employee feedback mechanisms are being prioritized to foster workplace engagement, productivity, and retention. The versatility of modern survey platforms, which support a wide array of applications from market research to product feedback, has positioned them as strategic assets for organizations aiming to maintain a competitive edge. Additionally, the increasing regulatory emphasis on compliance and data privacy has prompted businesses to adopt secure and customizable survey solutions, further stimulating market growth.

The ongoing shift towards hybrid and remote work models has also played a pivotal role in driving the survey platform market. Enterprises are seeking agile and scalable tools to maintain continuous communication and feedback loops with distributed teams and customers. Cloud-based survey platforms, in particular, have gained substantial traction due to their accessibility, scalability, and cost-effectiveness. These platforms enable organizations to deploy surveys rapidly, collect responses from any location, and generate actionable insights without significant IT overhead. As organizations continue to embrace digital-first strategies, the demand for robust and flexible survey platforms is anticipated to remain strong throughout the forecast period.

From a regional perspective, North America has maintained its dominance in the survey platform market, buoyed by early technology adoption, high digital literacy, and the presence of leading solution providers. However, the Asia Pacific region is witnessing the fastest growth, driven by rapid digital transformation across emerging economies, expanding internet penetration, and a burgeoning SME sector. Europe also remains a key market, characterized by stringent data privacy regulations and a mature enterprise landscape. Meanwhile, Latin America and the Middle East & Africa are experiencing steady growth, supported by increasing investments in digital infrastructure and the rising awareness of the strategic value of data-driven insights.

Component Analysis

The survey platform market is segmented by component into software and services, each playing a distinct yet complementary role in the overall ecosystem. The software segment accounts for the largest share, driven by the continuous evolution of platform features, user interfaces, and integration capabilities. Modern survey software solutions offer intuitive drag-and-drop builders, customizable templates, multi-channel distribution, and real-time analytics, empowering organizations to design and deploy sophisticated surveys with minimal technical expertise. The integration of artificial intelligence and machine learning algorithms has further enh

These statistical tables are one of the results from a project undertaken by Statistics Canada on behalf of the Treasury Board Secretariat (TBS) in support of the Horizontal Innovation and Clean Technology Review. They were produced from program data provided by 22 federal government departments and Crown corporations and their subsequent integration into Statistics Canada’s Linkable File Environment (LFE), which comprises a large number of administrative and survey data linked at the enterprise level. More than 430,000 individual records were collected, from 98 program streams over the 2007-2016 period. Program streams were also grouped in seven aggregate categories: grants, repayable contributions, non-repayable contributions, conditional repayable contributions, financing, government performed services and other. Program recipients at the enterprise level (whether for-profit or public entities) were matched to Statistics Canada’s Business Register (BR), which contains all active enterprises in Canada, and then linked to the LFE using both deterministic (Business Numbers) and probabilistic techniques. A high match rate was achieved, representing 89.4% of all records and 96.6% of funds, corresponding to 88,415 unique recipient enterprises over the reference period. Relevant data for these enterprises, such as financial and employment variables, industry, location, profit and exporter status, were then extracted from the LFE.

Brazil Number of Enterprise & Other Organisation: 250 to 499 Persons: IC: Editing & Integrated Publishing data was reported at 27.000 Unit in 2017. This stayed constant from the previous number of 27.000 Unit for 2016. Brazil Number of Enterprise & Other Organisation: 250 to 499 Persons: IC: Editing & Integrated Publishing data is updated yearly, averaging 34.500 Unit from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 41.000 Unit in 2011 and a record low of 27.000 Unit in 2017. Brazil Number of Enterprise & Other Organisation: 250 to 499 Persons: IC: Editing & Integrated Publishing data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SH009: Enterprise Industry: No of Enterprise and Other Organization: by Industry: 250 to 499 Persons.