Access Staff Webmail
PopGIS
Statistics Surveys
The Department of Statistics has been conducting a number of specialised surveys over the past years. The results of these surveys in the form of summary tables and full reports shown in this website. Full reports (in pdf format) are available in our Publication Documents page. In all reports, there is description about the methodologies and definitions used including explanations on how specific indicators are derived.
Through its continuous good working relationships with other government, non-government and private institutions, the Department of Statistics website will continue to play a very important role as a platform for storing and disseminating information available.
ReportsHousehold Income & Expenditure Survey
Found out more by clicking on links below
Household Income (including household income for urban and rural household etc.)
Household Income is defined to cover: (i) income from employment (both paid and self-employment); (ii) property income, (iii) income from the production of household services for own consumption; and (iv) current transfers received.
| Income Type | Tonga | Tongatapu | Vava'u | Ha'apai | 'Eua | Niuas | ||
| Urban | Rural | Urban | Rural | |||||
| Household Income | ||||||||
| Income from Employment | ||||||||
| Wages & Salary - current job | 1,083 | 551 | 1,083 | 662 | 452 | 255 | 297 | 576 |
| Wages & Salary - previous job | 49 | 18 | 49 | 23 | 5 | 9 | 33 | 19 |
| Wages & Salary - casual jobs | 19 | 25 | 19 | 17 | 43 | 39 | 20 | 35 |
| Business income | 139 | 43 | 139 | 51 | 38 | 37 | 10 | 4 |
| Subsistence income | 244 | 331 | 244 | 215 | 495 | 611 | 450 | 303 |
| Home Produce Consumed | 68 | 206 | 68 | 173 | 251 | 224 | 235 | 452 |
| Property Income | ||||||||
| Property Income | 66 | 11 | 66 | 9 | 17 | 3 | 22 | 20 |
| Transfer Income | ||||||||
| Welfare, NFF & Child support | 24 | 11 | 24 | 10 | 20 | 136 | 10 | 0 |
| Remittances | 477 | 309 | 477 | 381 | 221 | 1315 | 217 | 237 |
| Total Household Income | 2,169 | 1,505 | 2,169 | 1,541 | 1,542 | 2,629 | 1,294 | 1,646 |
| Irregular Gifts Received | ||||||||
| Irregular cash gifts | 284 | 168 | 284 | 167 | 130 | 298 | 105 | 162 |
| Home Produce - received | 34 | 29 | 34 | 26 | 33 | 28 | 28 | 53 |
| Bought Goods - received | 115 | 110 | 115 | 117 | 112 | 80 | 104 | 68 |
| Total Irregular gifts | 433 | 307 | 433 | 310 | 275 | 406 | 237 | 283 |
| Other Receipts | 146 | 22 | 146 | 23 | 14 | 34 | 20 | 28 |
| Imputed Rent | 421 | 261 | 421 | 272 | 287 | 177 | 249 | 140 |
| TOTAL | 3,169 | 2,095 | 3,169 | 2,146 | 2,118 | 3,246 | 1,800 | 2,097 |
Contact: 
Ms. Telekaki Latavao
Manufacturing Survey
Manufacturing employment for 2016
Latest release on the Manufacturing Survey is the 2016 Annual Report. This is the Third Bulletin after a long pause in 2008 to 2013 due to staff constraint resulted in time series and trend break of information. Then in 2014 Manufacturing survey started again with the first report after the break in the manufacturing time series. The 2016 Manufacturing Output, Employment and Wages and Salaries Bulletin contains data for calendar year 2016 published by the Department in June 2017.
Table below shows the 2016 Summary Results.
A complete summary of the survey results for calendar year 2016
| Item | Unit | 2016 | Jan-Mar | Apr-Jun | Jul-Sept | Oct-Dec |
| 1. Establishments covered | No. | 82 | 79 | 84 | 84 | 81 |
| 2. Total production | T$(000) | 45,947 | 9,549 | 11,947 | 11,516 | 12,936 |
| 3. Persons employed | No. | 585 | 586 | 557 | 567 | 629 |
| 4. Wages and salaries | T$(000) | 6,865 | 1,782 | 1,393 | 1,767 | 1,923 |
The survey showed that the share of employment in 2016 commanded by Food and Beverages Industries held the highest number of 239 in employment (41%), followed by Non-metallic Mineral Industries with 106 in employment (18%), Wood and Products of Industries 88 in employment (15%), Furniture Industries 43 in employment (7%), Publishing and Printing Industries 33 in employment (6%) and the remaining 77 in employment (13%) distributed among Other Industries not mentioned below
Manufacturing employment level and its share by ISIC division
| ISIC Div. | Description | No. | % |
| 15 | Food Products and Beverages | 239 | 40.8 |
| 17 | Manufacture of Textiles | 12 | 2.05 |
| 18 | Manufacture of Wearing Apparel | 22 | 3.69 |
| 20 | Wood and Products of Wood | 88 | 15.02 |
| 22 | Publishing and Printing | 33 | 5.67 |
| 24 | Chemicals and Chemical Products | 12 | 2 |
| 26 | Non-metallic Mineral Products | 106 | 18.06 |
| 28 | Fabricated Metal Products | 9 | 1.54 |
| 36 | Manufacture of Furniture | 43 | 7.4 |
Source: Manufacturing survey, Statistics Dept
Click HERE to view report.
Contact: Mrs. 'Ilaisaane Tu'ipulotu
Manufacturing production for 2016
The survey showed that the total value of manufacturing output at end of 2016 was T$45.9 million of which Food Products and Beverages Industries held the biggest share of T$15.8 million (34%) of total output. Non-metallic Mineral Products followed with T$9.3 million (20%), Manufacture of Fabricated Metal Products with T$3.6 million (8%), Chemicals and Chemical Products with T$2.5 million (5%), Manufacture of furniture with T$1.7 million (4%) and the remaining T$13.1 million (29%) was shared among Recycling and Other Manufacture Industries.
Manufacturing production level and its share by ISIC division
| ISIC Div. | Description | (T$) | % |
| 15 | Food Products and Beverages | 15,803,390 | 34.4 |
| 17 | Manufacture of Textiles | 197,301 | 0.4 |
| 18 | Manufacture of Wearing Apparel | 543,181 | 1.2 |
| 20 | Wood and Products of Wood | 1,533,179 | 3.3 |
| 22 | Publishing and Printing | 1,169,175 | 2.5 |
| 24 | Chemicals and Chemical Products | 2,469,547 | 5.4 |
| 26 | Non-metallic Mineral Products | 9,325,940 | 20.3 |
| 28 | Fabricated Metal Products | 3,562,213 | 7.8 |
| 36 | Manufacture of Furniture | 1,650,872 | 3.6 |
Click HERE to view report.
Contact: Mrs. 'Ilaisaane Tu'ipulotu
Manufacturing Wages/Salaries by ISIC division for 2016
The below table shows that the share of wages and salaries paid to employment carried by various divisions at end of 2016 were: Food Products and Beverages Industries took the highest share of payments T$2.6 million (38%), followed by Non-metallic Mineral Products Industries with T$1.2 million (17%), Wood and Products of Wood Industries T$1.1 million (16%), Manufacture of Furniture Industries and Recycling and Other Manufacturing Industries contributed share of T$0.4 million each (6%), and all Other Industries with T$1.1 million (17%).
Manufacturing wages and salaries level and its share by ISIC division
| ISIC Div. | Description | (T$) | % |
| 15 | Food Products and Beverages | 2,586,542 | 37.68 |
| 17 | Manufacture of Textiles | 79,500 | 1.16 |
| 18 | Manufacture of Wearing Apparel | 228,020 | 3.32 |
| 20 | Wood and Products of Wood | 1,125,223 | 16.39 |
| 22 | Publishing and Printing | 333,019 | 4.85 |
| 24 | Chemicals and Chemical Products | 278,681 | 4.06 |
| 26 | Non-metallic Mineral Products | 1,180,469 | 17.2 |
| 28 | Fabricated Metal Products | 243,480 | 3.55 |
| 36 | Manufacture of Furniture | 423,095 | 6.16 |
Click HERE to view report.
Contact: Mrs. 'Ilaisaane Tu'ipulotu
Labour Force Survey
The Statistics Department produces report on Labour Force Survey. Labour Force Survey are carried out on an occasional basis. In 1990, 1993/94 and 2003. Labour Force Survey 2003 is the recent survey and it covers those age 15 and over in the whole Kingdom. It covers usually resident population including any that were absent from the household. Information includes age, sex, activity, current and usual employment status, hours worked and wages.
Comparison of key labour market indicators over time.
| 2003 | 1993/94 | 1990 | |||
| Labour force participation rate | % | Both sexes | 63.6 | 59.5 | 55.4 |
| (age 15 and over) | Males | 74.59999999999999 | 74.2 | 75.59999999999999 | |
| Females | 52.7 | 45.4 | 36.1 | ||
| Employment to population ratio | % | Both sexes | 60.3 | 58.8 | 53.1 |
| (age 15 and over) | Males | 72 | 73.59999999999999 | 73.90000000000001 | |
| Females | 48.8 | 44.4 | 33.3 | ||
| Employment by sector % distribution | Both sexes | 100 | 100 | 100 | |
| 1990 and 1993/94 - age 10 and over | Agricultures | 31.8 | 39.4 | 38.1 | |
| 2003 - age 15 and over | Industry | 30.6 | 25.7 | 20.6 | |
| Services | 37.6 | 34.9 | 41.3 | ||
| % distribution | Males | 100 | 100 | 100 | |
| Agricultures | 50.7 | 60.1 | 51.5 | ||
| Industry | 13.4 | 7.1 | 11 | ||
| Services | 35.9 | 32.8 | 37.5 | ||
| % distribution | Females | 100 | 100 | 100 | |
| Agricultures | 4.6 | 5.9 | 9.1 | ||
| Industry | 55.5 | 55.8 | 41.4 | ||
| Services | 40 | 38.3 | 49.5 | ||
| 2003 | 1993/94 | 1990 | |||
| Unemployment rate(age 15 and over) | % | Both sexes | 5.2 | 0.8 | 2.3 |
| Males | 3.6 | 0.6 | 1.7 | ||
| Females | 7.4 | 1 | 2.8 | ||
| (a) Youth unemployment rate(age 15-24) | % | Both sexes | 11.9 | 3.2 | 8.300000000000001 |
| Males | 9.9 | 1.3 | 5.4 | ||
| Females | 15.1 | 6.6 | 13.8 | ||
| (b) Ratio of youth unemployment rate to adult | Both sexes | 3.3 | 4.2 | 3.4 | |
| unemployment rate (age 15-24/25+) | Males | 4.8 | 2.2 | 4.8 | |
| Females | 2.8 | 6.6 | 2.7 | ||
| (c) Youth unemployment as aproportion of | % | Both sexes | 43 | 55.9 | 57.3 |
| total unemployment (age 15-24 / 15+) | Males | 54 | 41.2 | 64.40000000000001 | |
| Females | 37.4 | 63.9 | 52.9 | ||
| (d) Youth unemployment as aproportion of the | % | Both sexes | 4.6 | 1.3 | 3.6 |
| youth population (age 15-24) | Males | 4.5 | 0.7 | 3 | |
| Females | 4.7 | 1.9 | 4.1 | ||
| Number of wage and salary | Both sexes | 15,597 | 13,195 | ||
| earners employed | Males | 9,861 | 8,104 | ||
| Females | 5,736 | 5,091 | |||
Collapse All
Expand All