The Canadian Travel Survey (CTS) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to measure the volume, characteristics and economic impact of domestic travel. It gathers data on more than 30 variables, including socio-economic profiles, trip characteristics, and expenditures. The CTS is conducted by Statistics Canada, as a supplement of the Labour Force Survey (LFS: Survey Number 3701), with the cooperation and support of the Canadian Tourism Commission (CTC) and ten provincial governments. The main users of the survey data are the CTC, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers. These files contain records which relate to the activities of Canadians travelling in Canada; origin and destination; volumes; nights away from home; length of stay; type of transportation; purpose of trip; accommodation used; expenditures by categories; and demographic characteristics. Included are the complete Canada microdata file on person-trips, household trips, person-nights, person and reallocated expenditures.

Travel survey of residents of Canada, census metropolitan areas (CMA) visits, expenditures and nights, by visit duration; annual (number of visits unless otherwise noted x 1,000).

Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Tourism data was reported at 863,161.000 Person in 2023. This records an increase from the previous number of 724,881.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Tourism data is updated yearly, averaging 823,639.000 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,928,612.000 Person in 2018 and a record low of 256,514.000 Person in 2020. Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Tourism data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

This table contains 156 series, with data for years 1996 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (39 items: Canada; Total census metropolitan areas (CMA) and non-census metropolitan areas; Total non census metropolitan areas; Newfoundland and Labrador; ...), Characteristics (4 items: Person-trips; Person-visits; Reallocated expenditures; Visit-nights).

Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Not Specified data was reported at 0.000 Person in 2023. This stayed constant from the previous number of 0.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Not Specified data is updated yearly, averaging 0.000 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 28,042.000 Person in 2000 and a record low of 0.000 Person in 2023. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Not Specified data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Other data was reported at 37,184.000 Person in 2023. This records a decrease from the previous number of 53,315.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Other data is updated yearly, averaging 85,568.500 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 194,921.000 Person in 2005 and a record low of 12,261.000 Person in 2000. Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Other data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Place of Residence data was reported at 186,126.000 Person in 2023. This records an increase from the previous number of 128,484.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Place of Residence data is updated yearly, averaging 0.000 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 186,126.000 Person in 2023 and a record low of 0.000 Person in 2015. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Place of Residence data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Abstract

Statistics South Africa collects data on foreign tourism from the South African Department of Home Affairs. Data on domestic tourism is also needed to measure its contribution to the national economy. The Domestic Tourism Survey (DTS) is aimed at addressing this need by collecting data on the travel behaviour and expenditure of South African residents travelling within and outside the borders of South Africa. This survey provides data on domestic tourism activity during the period January to December 2014.

Geographic coverage

The survey had national coverage

Analysis unit

The units of analysis in the Domestic Tourism Survey are households and individuals

Universe

The target population of the survey consists of all private households and residents in workers' hostels in the nine provinces of South Africa. The survey does not cover other collective living quarters such as students' hostels, old age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

The DTS 2016 collection was based on the 2013 Master Sample. This Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country and had other information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units (PSUs) in the Master Sample with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current Master Sample (3 324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3 080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the DTS estimates.

The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

The sample for the DTS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage an even spread of DUs per stratum for each month.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data was collected with a household questionnaire

Abstract

The National Household Travel Survey (NHTS) 2013 is the second round of the NHTS series designed to assess domestic transport and tourism travel patterns in the country, as well as attitudes about transport.

Geographic coverage

The survey has national coverage.

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data

Sampling procedure

The sample design for the NHTS 2013 was based on a master sample (MS) that used a two-stage, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded; • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face

Data appraisal

The original report (called a Release) provided by Statistics SA had incorrect information on response rates. This document has been replaced by a version amended by Statistics SA to reflect the correct response rates for the survey.

Abstract

Statistics South Africa provides data on international tourism based on secondary data obtained from the South African Department of Home Affairs. The information from this data used by stakeholders to measure and understand international tourism in South Africa. Detailed information about national domestic tourism is limited, however and there was a need to collect more detailed information on domestic tourism in order to better understand and measure the contribution of the tourism industry towards the national economy. The Domestic Tourism Survey (DTS) is aimed at addressing this need by collecting accurate statistics on the travel behaviour and expenditure of South African residents travelling within and outside the borders of South Africa. Such information is crucial in determining the contribution of tourism to the South African economy as well as helping with planning, marketing, policy formulation and regulation of tourism-related activities.

This survey provides data on domestic tourism activity from the beginning of February 2008 until the end of August 2008. In addition to the basic demographic information collected in the majority of household surveys conducted by Statistics South Africa, the DTS covers five areas specifically related to travel and expenditure patterns. These include trips taken by the household, domestic day trips by the respondent and/or other household members, domestic day trips by other household members (without the respondent), domestic overnight trips by the respondent and/or other household members, domestic overnight trips by other household members (without the respondent).

Geographic coverage

National coverage

Analysis unit

The units of analysis in the Domestic Tourism Survey are households and individuals

Universe

The target population of the survey consists of all private households and residents in workers’ hostels in the nine provinces of South Africa. The survey does not cover other collective living quarters such as students’ hostels, oldage homes, hospitals, prisons and military barracks and is therefore only representative of non-institutionalised and non-military persons in South Africa.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the DTS 2008 was based on a master sample (MS). The master sample used a two-stage, a stratified design with probability–proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income. Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded; • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and • Informal PSUs were segmented. A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face [f2f]

Research instrument

The DTS 2008 questionnaire collected data on the following topics:

Cover page Household information, response details, field staff information, result codes, etc. Flap: Demographic information (name, sex, age, population group, etc.) and basic tourism information Section 1: Information on trips taken by respondent and other household members in the past six months and barriers for not taking trips. Section 2: Day trip taken by the respondent in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure Section 3: Day trip taken by other household members without the respondent in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure. Section 4: Domestic overnight trips taken(inside South Africa), taken by the respondent in the past sixmonths, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure. Section 5: Domestic overnight trips taken by the other household member in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure. Section 6: Outbound overnight trips outside South Africa, taken by the respondent in the past six months, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure. Section 7: Outbound overnight trips outside South Africa, taken by the respondent in the past six months, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure. Section 8: Column number of the responding person, and the language used during the interview. All sections: Comprehensive coverage of domestic and foreign trips undertaken

Note: The DTS questionnaire had two sections for the domestic overnight trips taken by the respondent and other household members without the respondent. Thus section 4 (domestic overnight trips by the respondent) and section 5 (domestic overnight trips by other household members without the respondent). The purpose of this split was to collect as many domestic overnight trips as possible from the households.

Data appraisal

Caution must be exercised when interpreting the results of the DTS at low levels of dis-aggregation. Revisions to the DTS data sets based on the new population estimates involved benchmarking at national level in terms of age, sex and population group while at provincial level, benchmarking was by population group only. The sample and reporting are based on the provincial boundaries as defined in December 2005.

Abstract

The National Household Travel Survey (NHTS) 2020 is the third round of the survey series designed to assess domestic transport and tourism travel patterns of South African households as well as their attitudes about transport. The NHTS collects data on general household characteristics, travel patterns of households, and attitudes about transport.

Geographic coverage

National coverage

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the NHTS was based on a master sample (MS) that used a two-stage, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarized at PSU level. The following variables were used for secondary stratification, household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded. • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 splits into two; 1000 to 1499 splits into three; and 1500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomized Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consisted of 9 sections: Section 1: General health and functioning, social grants and social relief Section 2: General travel patterns Section 3: Education and education-related travel patterns Section 4: Work-related travel patterns (age 15 years and above) Section 5: Business trips Section 6: Other travel patterns Section 7: General household information Section 8: Household attitudes and perceptions about transport Section 9: Survey officer questions

Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Crew data was reported at 70,254.000 Person in 2023. This records an increase from the previous number of 25,753.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Crew data is updated yearly, averaging 0.000 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 70,254.000 Person in 2023 and a record low of 0.000 Person in 2021. Ecuador Tourist Arrival: Foreigner: by Purpose of Travel: Crew data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Transit data was reported at 4,073.000 Person in 2023. This records an increase from the previous number of 1,196.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Transit data is updated yearly, averaging 0.000 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 4,073.000 Person in 2023 and a record low of 0.000 Person in 2021. Ecuador Tourist Arrival: Foreigner: Male: by Purpose of Travel: Transit data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

SABAL - Small Area Business and Labour Data is a compendium of independent data sources brought together in one database by Statistics Canada. As a compendium, it is not a fully integrated system, therefore, dates and geographic areas covered vary between data sets selected. SABAL combines a wide variety of economic and social statistics, and provides coverage of approximately 140 urban areas and 72 economic regions, in addition to Canada, the Provinces and Territories. Some data are not available at all geographic levels. SABAL also includes metadata on each of these data sources. The business sources included are: Business Small Area File (based on Revenue Canada administrative data), Retail Trade, Building Permits, Housing Starts from CMHC, Survey of Manufacturing, Motor Vehicle Registrations, Business Counts, Consumer Price Index, and Tourism. The social sources included are: Census of Population, Small Area Administrative Data (Taxfiler Data), Labour Force Survey, Household Facilities and Equipment Survey, Education, Training, Justice, Population Projections, Family Expenditures, and Consumer Finances Survey.

Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Other data was reported at 14.000 Person in 2023. This records an increase from the previous number of 9.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Other data is updated yearly, averaging 11.500 Person from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 37.000 Person in 2019 and a record low of 1.000 Person in 2021. Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Other data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Abstract

The National Household Travel Survey (NHTS) is the first round of the NHTS series which is designed to assess domestic transport and tourism travel patterns in the country. The NHTS collects data on general household characteristics, travel patterns of households, household transport and attitudes about transport.

Geographic coverage

The survey has national coverage.

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data

Sampling procedure

The National Department of Transport (NDOT) identified 342 national Transport Analysis (TA) zones in consultation with provincial transport departments. From these TA zones, a sample of 50 000 households had to be interviewed in order to collect information about travel patterns and habits. Stats SA overlaid the analysis zones with the Census 2001 Enumerator Areas (EAs) to facilitate the sampling.

The sample design is outlined in the steps which follow: • The 342 TA zones were overlaid with the Census 2001 Enumeration Areas. Each of the analysis zones will be treated as a reporting domain. Where possible, the zones were further stratified by geography type such as urban formal, urban informal, rural formal and tribal. Each zone was allocated a number of EA's proportional to its size using the enumerated "dwelling unit count" on the Stats SA books as a measure of size. • The number of EAs allocated to each TA zone was determined using the number of dwelling units in the EAs as a measure of size. The power allocation method was used to determine the number of primary sampling units (PSUs) to be allocated per zone. • Each PSU number consist of 12 digits, the first 8 representing the EA number and the last 4 the number of the PSU. Ten dwellings had to be enumerated in each of the 5 000 PSUs to arrive at the required sample of 50 000 households. This worked out to an average of 13.3 EAs per zone, based on 10 dwelling units per EA, assuming an equal allocation of EAs to the zone. • Additional EAs were pooled where the selection criterion of a minimum number of 80 dwelling units per EA was not met, such as in farming areas in the Northern Cape. In this case, the extra EA was taken from the same township, suburb and area as the original EA. • Once the dwelling units in each PSU were verified and the dwelling unit total was established, a sample of 10 dwelling units was selected from each PSU. Systematic sampling of EAs was used in all cases and equal probability systematic sampling was used to select the dwelling units that were enumerated in each of the EAs that was drawn. This allows for approximate selfweighting of the selected planning units within each of the zones. • In each household, one person, aged 15 years or older was selected for an interview about their attitudes to transport services. Kish's grid for selection of individuals aged 15 years and older, was used to determine who would be required to complete the attitudinal section of the questionnaire.

Mode of data collection

Face-to-face

Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Business data was reported at 2.000 Person in 2023. This records a decrease from the previous number of 3.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Business data is updated yearly, averaging 2.500 Person from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 9.000 Person in 2019 and a record low of 0.000 Person in 2016. Ecuador Tourist Arrival: Foreigner: Undefined: by Purpose of Travel: Business data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

According to the census of micro, small and medium enterprises, the highest number of MSMEs in hotel and restaurant industry was in the unregistered sector at around *** million in fiscal year 2017. The registered sector employed about ***** thousand employees during that time period, whereas, the unregistered sector employed over *** million.

Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Other data was reported at 24,801.000 Person in 2023. This records a decrease from the previous number of 30,492.000 Person for 2022. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Other data is updated yearly, averaging 48,615.500 Person from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 158,559.000 Person in 2005 and a record low of 6,414.000 Person in 2000. Ecuador Tourist Arrival: Foreigner: Female: by Purpose of Travel: Other data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.Q005: Tourist Arrival: National Institute of Statistics and Census: by Purpose of Travel.

Abstract

The evaluation design and subsequent data gathering activities will address the following key research questions: a) Has the Mafia Island Airport Upgrade Project contributed to easier, more efficient, and safer access to Mafia Island? b) Has the Mafia Island Airport Upgrade project contributed to an increase in (i) tourism and/or (ii) business travel? c) Has the Mafia Island Airport Upgrade project contributed to an increase in visitor spending on the island? d) Has the Mafia Island Airport Upgrade project contributed to an increase in economic and investment activities on the island? (Hotel, wildlife refuge, food industry, etc.)

These are the thematic areas or critical issues for the evaluation. Linkage with the Project Logic will be as follows: - Outcome indicators in the Project Logic will be addressed in evaluation question (b) above. - Objective indicators in the Project Logic will be addressed in evaluation questions (c) and (d) above. - The Compact Goal indicator will be part of the evaluation indicators of the project. - The Consultant will also measure the Compact Goal using ownership of assets and food poverty as proxy of poverty indicators at micro level because they are used by the National Bureau of Statistics (NBS) in Household Budget Survey and Tanzania Poverty Monitoring Framework.

Analysis unit

Community, hotels, households, visitors

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy comprised of 100% coverage or census for Hotel Manager Survey because all hotels and guest houses that receive tourists in the Island were interviewed. There was also 100% coverage or census for the Village Leader Survey (Listing) because the Consultant walked thoroughly through each village and sub-village covering all households. All exit passengers were also interviewed during the two data collection months. With regard to the Hotel Guest Survey, all guests found at the hotels were interviewed.

Sampling was only applied for selection of Focus Group Discussions (FGDs) participants who were also respondents for Individual Interviews. Purposive random sampling was used. Participants were randomly selected in collaboration with village and sub-villages leaders ensuring that participants come from all areas including both men and women. Other selection factors included being of the working age (18 to 60 years) with good mental health. The sample size for the Individual Interviews survey was small - covering all FGD participants - because the ToR required small data collection effort due to lack of a counterfactual.

Research instrument

(a) Administrative Data Administrative data will be obtained from TAA, TCAA, MIMP, Mafia District Council, Ministry of Livestock and Fisheries Development (MLFD) and Fish Processors in Mafia. Since each of these stakeholders will provide very specific data/information, there will be full coverage (without sampling).

(b) Hotel Survey Data There are about seventeen (17) tourist hotels in Mafia. Since they are few, all will be covered by the evaluation during the baseline and the follow-up. If any new hotels will be opened during the evaluation period, they will be added in the follow up.

(c) Hotel Guest Survey Data Due to lack of a counterfactual, about 10% of guest of the hotel covered during the survey will be interviewed. Most hotels in Mafia are small size with less than fifty rooms. Assuming coverage of about twenty hotels, the sample size will be about 100 hotel guests.

(d) Passenger exit survey Data The largest aircraft currently flying to Mafia is C208 with an average occupancy of 6.98 passengers. Data from TAA indicate that the average number of aircraft that landed at Mafia airport in 2011 was 116 per month. Therefore, the population of passenger arrivals per month is estimated at 348. While aircraft manifest could be used as sampling frame, most of the passengers are normally in rush such that orderly selection from the manifest (which normally come with the plane) will create delays and missing the respondents because most are not ready to wait and consider giving interview as a favour. To solve the above problem, questionnaires will be given to all passengers when boarding in Mafia. Therefore, both men and women passengers will be given the questionnaire. Therefore, there will be full coverage of all passengers that will travel by air from Mafia during the two weeks data collection effort of each round (baseline, interim and follow-up) and phases (wet and dry season). However, the consultant is not expecting all passengers to accept the questionnaire.

(e) Households and Businesses Data This data will be collected from Mafia District Council and village leaders. Administratively, Mafia district is divided into 2 Divisions, 7 Wards, 20 Registered Villages (Table 5) and 132 sub- villages as shown in Figure 4. The Mafia Airport Upgrade Project is expected to affect households and businesses in Kilindoni where the Mafia District Headquarters and the airport are located. Households and businesses at Utende and Chole villages where most of the tourist hotels are located will also be affected by the project. Therefore, considering the small number of villages that are likely to be affected, leaders of all sub-villages of Kilindoni, Utende and Chole villages will be covered, about 18 sub-villages9.

(e) Community Data The small data collection effort of community data will be conducted at the three villages of Kilindoni, Utende and Chole. Two FGDs will be conducted – one for male and another for female informants. The aim is to get gender disaggregated perceptions, opinions, beliefs, and attitudes towards the project. Therefore, a total of six FGDs will be conducted.