Domestic Tourism Statistics in India

Similar documents
Status of Compilation of Tourism Satellite Accounts for India

Sources of Information

DOMESTIC TOURISM SURVEY (DTS) : MALAYSIA S EXPERIENCE

The regional value of tourism in the UK: 2013

The Economic Impact of Tourism on the District of Thanet 2011

The Economic Impact of Tourism Brighton & Hove Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Economic Impact of Tourism. Norfolk

Table-1.1 SEASONS, SOWING & HARVESTING PERIOD AND PRODUCTION. Five year Average Production ( to Harvesting Period.

The Economic Impact of Tourism Brighton & Hove Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Improving Statistical Capacities of Tourism in Turkey

The Economic Impact of Tourism New Forest Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Estimation of Tourism Employment through Tourism Satellite Account Indian Experience

TRENDS IN DEMAND FOR TOURIST SPOTS

The Economic Impact of Tourism on Calderdale Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Structure of presentation

The Economic Impact of Tourism on Oxfordshire Estimates for 2013

The Economic Impact of Tourism on Scarborough District 2014

Asia-Pacific Economic Statistics Week Seminar Component Bangkok, 2 4 May 2016

The Economic Impact of Tourism Eastbourne Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Measuring travel services and tourism in New Zealand. October 2013

2013 Travel Survey. for the States of Guernsey Commerce & Employment Department RESEARCH REPORT ON Q1 2013

Estimates of the Economic Importance of Tourism

ACCOMMODATION from the supply side

The Economic Impact of Tourism on Oxfordshire Estimates for 2014

Richard V. Butler, Ph.D. and Mary E. Stefl, Ph.D., Trinity University HIGHLIGHTS

The winning states in each of the three award categories were as follows:

Tourism Satellite Accounts : The Demand Perspective Concepts and Definitions Tourism Expenditure and Tourism Consumption

New Zealand s System of Tourism Statistics

Fiji s Tourism Satellite Accounts

Presented by: Ms. Kanageswary Ramasamy Department of Statistics, Malaysia February 2017

LOCAL AREA TOURISM IMPACT MODEL. Wandsworth borough report

Economic Impact of Tourism. Cambridgeshire 2010 Results

2. Wages and Earnings

UNWTO Workshop on Developing Tourism Statistics and the Tourism Satellite Account Project Cebu, Philippines, October, 2008

2004 SOUTH DAKOTA MOTEL AND CAMPGROUND OCCUPANCY REPORT and INTERNATIONAL VISITOR SURVEY

NAPA VALLEY VISITOR INDUSTRY 2016 Economic Impact Report

NAPA VALLEY VISITOR INDUSTRY 2014 Economic Impact Report

The Economic Impact of Travel in Minnesota Analysis

Australian Casino Association ECONOMIC REPORT. Prepared for. Australian Casino Association. June Finance and Economics

MONTEREY COUNTY TRAVEL IMPACTS P

the research solution

Presented by: Ms. Kanageswary Ramasamy Department of Statistics, Malaysia February 2017

Produced by: Destination Research Sergi Jarques, Director

Produced by: Destination Research Sergi Jarques, Director

Evaluating Lodging Opportunities

Produced by: Destination Research Sergi Jarques, Director

WORLD TOURISM ORGANIZATION (UNWTO) Final Report WORKSHOP ON TOURISM STATISTICS (SESRIC-TR MINISTRY OF CULTURE AND TOURISM-TURKSTAT-UNWTO)

Produced by: Destination Research Sergi Jarques, Director

Produced by: Destination Research Sergi Jarques, Director

TELFORD & WREKIN TOURISM ECONOMIC IMPACT ASSESSMENT

SHREWSBURY TOURISM ECONOMIC IMPACT ASSESSMENT

Hawai i Timeshare Quarterly July - September 2018

The United Republic of Tanzania Ministry of Natural Resources and Tourism TOURISM DIVISION The 2013 Tourism Statistical Bulletin

The Economic Impact of Tourism in Walworth County, Wisconsin. July 2013

Palmerston North Retailing

Wyoming Travel Impacts

Regional Tourism Satellite Accounts (RTSA) in Austria

From: OECD Tourism Trends and Policies Access the complete publication at: Japan

Guernsey Travel Survey

Produced by: Destination Research Sergi Jarques, Director

The Economic Impact of Tourism West Oxfordshire Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

Baku, Azerbaijan November th, 2011

From: OECD Tourism Trends and Policies Access the complete publication at: Chile

International Passenger Survey (IPS) Methodology. May 2017

Blue Mountains Visitors. International overnight, domestic overnight and domestic daytrip visitors. Sep-11. Jun-11. Sep-10. Dec-10. Dec-11.

Introduction. Significance of domestic travel. How many domestic trips do Georgians take? 2,933 2,951

Impacts of Visitor Spending on the Local Economy: George Washington Birthplace National Monument, 2004

Development of Road Infrastructure in India

Guernsey Travel Survey

OVERVIEW Four year annual average to the year ending September 2014

CONGESTION MONITORING THE NEW ZEALAND EXPERIENCE. By Mike Curran, Manager Strategic Policy, Transit New Zealand

The Role of Gauteng in South Africa s Backpacking Economy

Tourism statistics from the supply side perspective: what transpires from the country responses to the UNWTO request for information

Contents. A TSA Implementation Project: Main aspects of Egypt s Experience. Introduction. Share in the World Market Tourism Statistics

Wyoming Travel Impacts

Classification of products and productive activities for tourism

OVERVIEW Four year annual average to the year ending September 2014

Issue 10. micrometer. data as of 30 th June 2014

Issue 10. micrometer. data as of 30 th June 2014

Introduction. Significance of domestic travel. How many domestic trips do Georgians take? 3,230 3,145

Annual overnight visitor numbers to the region

Turistička zajednica grada Zagreba

TOURISM SPENDING IN ALGONQUIN PROVINCIAL PARK

Chile. Tourism in the economy. Tourism governance and funding

Concept, Method, Challenges. Jürgen Weiß. MA in Tourism Economics (University of applied Sciences Vienna)

Yukon Tourism Indicators Year-End Report Yukon Tourism Indicators Year-End Report 2015

Self Catering Holidays in England Economic Impact 2015

Quarterly sample surveys on holiday and business trips

Hawai i Timeshare Quarterly April - June 2018

2015 Travel Survey. for the States of Guernsey Commerce & Employment Department RESEARCH REPORT ON Q1 2015

Tourism Statistics Annual Report

- Online Travel Agent Focus -

North American Online Travel Report

Magnitude of Tourism

Song Rui Tourism Research Center, Chinese Academy of Social Sciences March 7, 2018, Berlin

REGION DEFINITION. Karlu Karlu / Devils Marbles Conservation Reserve. Tourismnt.com.au Page 1 of 9

The Travel and Tourism Industry in Vermont. A Benchmark Study of the Economic Impact of Visitor Expenditures on the Vermont Economy 2005

DESPITE GLOBAL ISSUES, TOURISM IS ON A GROWTH PATH

Hotel. Price Index. November Released Date: January Hotel Price Index

The Economic Impact of Tourism in Maryland. Tourism Satellite Account Calendar Year 2015

Transcription:

Domestic Tourism Statistics in India S V Ramana Murthy Deputy Director General Ministry of Statistics & Programme Implementation Email: svr.murthy@nic.in Presentation Sources of data Concerns Need for a new methodology Way forward 1

Sources of data on Domestic Tourists: Ministry of Tourism compiles data on domestic and foreign tourist visits in States/ UTs based on the information received from the State/ UT Governments. Such information at State/ UT level is generally collected by State Tourism Departments on the basis of administrative records and returns. In many cases, the information supplied does not cover the same-day visitors, visitors staying with friends and relatives, etc. Some Figures Limitations of existing Administrative data India is unable to supply data to the UNWTO on Same day visitors Overnight stays in hotels and similar establishments Overnight stays in all types of accommodation establishments etc. 2

Limitations of HH survey data Not available periodically. Data available only at State level but not at substate level such as district level. Need for a standard survey methodology Felt to prepare a standard methodology for estimation of number of visitors at district level which can be used by the State/ UT Governments. The methodology should enable the compilation of such data on monthly basis. The methodology should also help in preparation of estimates of number of visitors, for some years after the base line survey, mainly based on the information to be collected from the accommodation units, without resorting to regular large scale survey. 3

Objective of the Survey The field survey in a State will be conducted for a period of 12 months in all districts of the State. The survey will be used to obtain the following month-wise information for each district: Estimated number of visits Visits by overnight visitors- staying at accommodation units; - staying with friends and relatives - others, such as those staying in tented accommodations provided by State Govt. or by any other charitable organizations, etc. (ii) Visits by same-day visitors Profile of visitors, their expenditure pattern, purpose of visits, etc. Occupancy rates and direct employment in accommodation units. Efforts to bridge the gap: 1 st Round July 2009 June 2010 Covering 5 states of Andhra Pradesh, Delhi, Jharkhand, Maharashtra and Punjab. 2 nd Round April 2011 March 2012 Covering 2 states of Haryana and Himachal Pradesh, 2 nd Round June 2011 July 2012 Covering 5 states of Chhattisgarh, Madhya Pradesh and Sikkim. Three types of surveys are being conducted at each district: Survey at Tourist Destinations.-monthly Survey at Exit points of the district-quarterly Survey of Accommodation units.- returns 4

Survey of Tourist Destination The methodology envisages three stage sampling. The first stage units will be the towns important from tourism perspective, The second stage units will be the tourist destinations in the selected town or linked to the selected town, the visitors within a tourist destination will constitute the third stage units. Defining Leisure and Non Leisure Visitors In the Survey at Exit Points the visitors are classified as Leisure and Non Leisure Visitors based on their purpose of visit. If the purpose of visit is other than Holiday, Leisure and recreation and the visitor did not visit any tourist destination then he is classified as a non leisure visitor. 5

Survey At Tourist Destinations: Sample Size for Profile of visitors District (800) Town 1 (400) Town 2 (400) Destination 1 (200) Destination 2 (200) Week 1 (first 3 days) Week 2 (last 4 days) The dates of survey at a tourist destination during the 12 months will be as follows. Month Weeks Days of weeks Dates of the month First First and Third 1 st week: 1-3 days 1,2,3,18,19,20,21 3 rd week: 4-7 days Second Second and Fourth 2 nd week: 1-3 days 8,9,10, 25,26,27,28 4 th week: 4-7 days Third First and Fourth 1 st week: 1-3 days 1,2,3,25,26,27,28 4 th week: 4-7 days Fourth Second and Third 2 nd week: 1-3 days 8,9,10,18,19,20,21 3 rd week: 4-7 days Fifth First and Second 1 st week: 1-3 days 1,2,3,11,12,13,14 2 nd week: 4-7 days Sixth Third and Fourth 3 rd week: 1-3 days 15,16,17, 25,26,27,28 4 th week: 4-7 days Seventh to Twelve Above pattern will be repeated 6

Survey at Tourist Destinations No. of Visitors Profile of visitors Ticketed Destination (By no. of tickets and excluding the non visitors) Non Ticketed Destination (Counting by investigator in hourly slots, Covering all entry points to the destination and excluding the non visitors) To capture Leisure visitors Survey At Tourist Destinations: Profile of Visitors Foreign Domestic Same Day Overnight Staying in Hotels Staying with friends and relatives Staying Elsewhere 7

Survey at Exit Points of the district: District Exit Survey Every Quarter (1st month) Important Exit Points the Districts, eg. Bus stands Railway Stations etc. Visitors staying in accommodation units but not visiting any tourist destination. Visitors staying with friends and relatives but not visiting any tourist destination. Visitors staying elsewhere but not visiting any tourist destination. Same day visitors not visiting any tourist destination. To capture Non Leisure visitors During the 1 st Quarter the distribution of sample size. Exit Weeks Days Dates of the month Sample Size 1 1 st week 1-3 1,2,3 50 2 2 nd week 7-11 11, 12, 13, 14 50 3 3 rd week 1-3 15, 16, 17 50 4 4 th week 7-11 25, 26, 27, 28 50 Balance sample to be allocated based on secondary information Remaining 3 quarters should follow the same pattern 8

Estimation of Total Tourists and Day Visitors: Total Tourists = Staying in Accommodation units (Leisure + Non Leisure) + Tourists staying with friends and relative (Leisure + Non Leisure) + Tourists staying elsewhere (Leisure + Non Leisure) Same Day Visitors = Same Day Visitors (Leisure) + Same Day Visitors (Non Leisure) Survey of Accommodation Units: Preparation of the list of accommodation units in the towns selected (in consultation with the State Governments) on the basis of their importance from Tourism point of view. Estimate of no. of tourist staying in accommodation units. Classified hotels Other accommodation units o Having more than 20 rooms o Having 10-20 rooms o Having less than 10 rooms Sample: All the classified hotels. 10% in other categories. If less than 10 accommodation units in the town then all were covered. 9

Survey of Accommodation Units: Multiplier: Total no. of beds in all accommodation units/number of beds in selected accommodation units. Some information about no. of employees and turnover also generated. To serve as check to the data collected in survey at tourist destinations and exit points. Example: To Derive no. of Non Leisure Visitors If following is the percentage distribution of Domestic Visitors obtained from Exit Point Survey at District A (sample size =200): Leisure Non Leisure Staying at Hotels Staying with F&R Staying Elsewhere Same Day Visitors Total Staying at Hotels Staying with F&R Staying Elsewhere Same Day Visitors Total 5 14 16 20 55 3 12 13 17 45 10

Example: To Derive no. of Non Leisure Visitors From survey at Tourist Destinations it was found that in a given month there were : Staying at Hotels Staying with F&R Staying Elsewhere Same Day Visitors Total 50 85 65 130 330 Example: To Derive no. of Non Leisure Visitors Then we can say that there were 330*(3/55)=18 Non Leisure visitors staying at hotels. 330*(12/55)=72 Non Leisure visitors staying with friends and relatives. 330*(45/55)=270 total Non Leisure visitors 270 + 330 = 600 total visitors in District A for the given month. 11

Survey provides following for the first time in the country: Ratio of total number of tourists to number of tourists staying in Hotels and accommodation units. Ratio of total number of Same Day Visitors to number of tourists staying in Hotels and accommodation units. Survey provides following for the first time in the country: Average Number of Tourist Destinations visited by a Tourist. (Leisure) Average Number of Tourist Destinations visited by a Same Day Visitor. (Leisure) 12

Way Forward: This Survey cannot be conducted every year. Survey provides district wise list of accommodation units. For the states covered under the survey list of accommodation units are available. Representative sample from the list can be taken. Way Forward: States to simply collect information of no. of tourists staying in accommodation units on monthly basis. This information can be collected online also. Applying the ratios obtained from this survey total no. of tourists and same day visitors can be obtained on a monthly basis at all the tourist destinations covered in the survey. Ratios can be updated every 5 years. 13

Limitations of the Methodology: Percentage Distribution of Visitors based on Exit Survey does not include visitors not going through Exit Points. Difficulty in capturing visitors travelling by their own vehicle. Exit Survey is done only once in 3 months. Relative share of different category of visitors may not be uniform in all 3 months. Limitations of the Methodology: Ratios of different categories of visitors w.r.t. the visitors staying in hotels are not likely to vary substantially in a few years, but may not be same either. Ratios should be worked out afresh every 5 years, or earlier if feasible. While the reliability of estimates at state level is expected to be high, that of district- level (particularly monthly) may be low. 14

Steps taken after the 1 st Workshop The results of the 1 st Round of the Survey (July 2009 to June 2010) from 5 States became available in December 2010. 2 nd Round of Survey commissioned for another 5 States. Covering 2 states of Haryana and Himachal Pradesh, April 2011 March 2012 Covering 5 states of Chhattisgarh, Madhya Pradesh and Sikkim. June 2011 July 2012 Results of the 1 st Round have been used for estimating the figures of Tourist Visits to these States for 2010 and revising the figures for 2009. Data to be released in July, 2011. Steps taken after the 2 nd Workshop An interactive session was held with the Officials of Punjab to enable them to estimate figures of Tourist visits (in Punjab) for 2011 and 2012 based on the ratios obtained from the 1 st Round of the Survey (July 2009 to June 2010). The six monthly results from the 2 nd Round of Survey commissioned for the 2 states of Haryana and Himachal Pradesh have been discussed in Workshops with the State Governments. 15

New Developments Comparative study of 4 markets-uk Austrailia, New Zealand and Abu Dhabi Relative prices of travel and other analysis Thank You 16

Domestic Tourist Visits (In Million) Years Number of Domestic Tourist Visits (in Million) % Change 2001 236.5 7.5 2002 269.6 14.0 2003 309.0 14.6 2004 366.2 18.5 2005 391.5 7.0 2006 462.3 18.0 2007 526.4 13.9 2008 563.0 7.0 2009 668.8 18.8 2010 740.2 10.7 Back 17