Chinese and Portuguese are the official languages and English is also widely spoken.
The Macao Special Administrative Region, part of the territory of China, is situated at the Pearl River Delta on the southeast coast of Mainland China, 60 km southwest of Hong Kong. The total land area of
consists of the Macao Peninsula and the islands of Taipa and Coloane. The Macao Peninsula is linked to the Taipa Island by three bridges and the two islands are linked by the CoTai reclamation area. The highest hill, measuring 170.6 m in altitude, is situated at the Coloane Island.
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2015 |
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2016 |
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2017 |
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Weather |
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Air temperature (ºC) |
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Mean maximum |
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26.3 |
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25.8 |
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26.2 |
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Mean |
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23.2 |
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22.6 |
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23.0 |
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Mean minimum |
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21.1 |
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20.4 |
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20.8 |
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Mean relative humidity (%) |
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83.0 |
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85.0 |
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81.0 |
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Total rainfall (mm) |
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1 341.0 |
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2 335.6 |
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1 783.2 |
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Total sunshine duration (hour) |
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1 696.9 |
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1 529.5 |
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1 775.1 |
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Mean wind speed (km/hour) |
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10.3 |
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10.6 |
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10.8 |
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2015 |
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2016 |
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2017 |
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Land area |
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Total area (km²) |
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30.4 |
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30.5 |
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30.8 |
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Macao Peninsula |
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9.3 |
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9.3 |
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9.3 |
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Taipa Island |
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7.6 |
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7.6 |
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7.9 |
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Coloane Island |
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7.6 |
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7.6 |
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7.6 |
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CoTai reclamation area |
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5.9 |
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6.0 |
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6.0 |
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Coastline length (km) |
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50.26 |
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50.39 |
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~ |
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HUMAN DEVELOPMENT INDEX |
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2014 |
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2015 |
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2016 |
p |
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Human development index |
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0.907 |
r |
0.908 |
r |
0.909 |
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Life expectancy index |
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0.968 |
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0.972 |
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0.974 |
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Education index |
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0.770 |
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0.770 |
r |
0.771 |
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Income index |
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1.000 |
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1.000 |
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1.000 |
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Note: Data are not yet available as the coastline
survey in 2017 is in progress. |
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DEMOGRAPHY |
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2015 |
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2016 |
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2017 |
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Population |
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End-year population (’000) |
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646.8 |
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644.9 |
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653.1 |
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Male |
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317.0 |
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305.5 |
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307.0 |
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Female |
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329.8 |
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339.4 |
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346.1 |
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Age structure (%) |
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0 - 14 |
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11.9 |
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12.5 |
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12.7 |
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15 - 64 |
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79.1 |
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77.7 |
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76.7 |
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65 and over |
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9.0 |
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9.8 |
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10.5 |
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Population growth rate (%) |
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1.6 |
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-0.3 |
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1.3 |
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Aging ratio (%) |
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75.6 |
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78.9 |
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83.0 |
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Dependency ratio (%) |
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26.4 |
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28.7 |
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30.3 |
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Vital statistics |
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Crude birth rate (‰) |
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11.0 |
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11.0 |
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10.1 |
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Crude mortality rate (‰) |
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3.1 |
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3.4 |
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3.3 |
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Rate of natural increase (‰) |
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7.9 |
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7.5 |
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6.8 |
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Infant mortality rate (‰) |
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1.6 |
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1.7 |
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2.3 |
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Sex ratio at birth |
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109.2 |
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109.4 |
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107.5 |
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(Males per
100 females) |
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Marriages per 1 000 population (case) |
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5.8 |
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6.0 |
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6.0 |
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Divorces per 1 000 population (case) |
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1.8 |
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1.9 |
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2.3 |
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Population density (’000/km2) |
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Total |
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21.1 |
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21.4 |
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21.1 |
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Macao Peninsula |
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55.9 |
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56.1 |
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55.7 |
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Taipa |
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13.4 |
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13.6 |
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13.0 |
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Coloane |
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2.6 |
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3.5 |
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3.5 |
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Per-capita living space (square feet) |
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216 |
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218 |
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220 |
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Number of households (’000) |
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192.7 |
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189.2 |
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191.5 |
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1-person household |
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27.3 |
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27.5 |
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27.7 |
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2-person household |
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45.1 |
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45.2 |
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47.2 |
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3-person household |
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48.3 |
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47.1 |
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48.1 |
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4-person household |
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44.1 |
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41.6 |
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41.6 |
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³ 5-person
household |
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28.0 |
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27.7 |
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26.8 |
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Average household size |
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3.09 |
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3.06 |
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3.03 |
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2012-2015 |
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2013-2016 |
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2014-2017 |
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Life expectancy (years) |
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Overall |
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83.2 |
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83.3 |
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83.4 |
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Male |
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79.9 |
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80.2 |
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80.3 |
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Female |
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86.3 |
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86.4 |
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86.4 |
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EDUCATION |
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2015/2016 |
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2016/2017 |
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2017/2018 |
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Institution |
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Higher education |
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10 |
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10 |
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10 |
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Pre-primary, primary and secondary education |
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70 |
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70 |
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70 |
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Kindergarten |
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5 |
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5 |
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5 |
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Primary |
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1 |
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1 |
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1 |
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Secondary |
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5 |
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5 |
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5 |
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Kindergarten and primary |
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20 |
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20 |
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21 |
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Secondary and kindergarten |
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- |
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- |
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1 |
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Secondary and primary |
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7 |
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7 |
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7 |
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Secondary, primary and kindergarten |
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32 |
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32 |
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30 |
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Special education |
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4 |
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4 |
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4 |
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Recurrent education |
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10 |
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10 |
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9 |
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Students enrolled |
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Higher education |
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31 970 |
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32 750 |
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33 098 |
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Secondary education |
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28 745 |
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27 473 |
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26 608 |
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Primary education |
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26 436 |
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28 438 |
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30 169 |
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Pre-primary education |
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16 789 |
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17 757 |
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18 802 |
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Special education |
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643 |
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707 |
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767 |
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Recurrent education |
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1 937 |
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1 796 |
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1 693 |
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Students per 1 000 population |
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162 |
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166 |
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168 |
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Teachers |
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Higher education |
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2 015 |
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2 265 |
r |
2 303 |
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Secondary education |
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2 696 |
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2 710 |
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2 727 |
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Primary education |
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1 908 |
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2 105 |
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2 235 |
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Pre-primary education |
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1 038 |
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1 212 |
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1 297 |
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Special education |
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124 |
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133 |
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138 |
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Recurrent education |
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154 |
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157 |
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161 |
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Teacher-student ratio |
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Pre-primary education |
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16.2 |
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14.7 |
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14.5 |
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Primary education |
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13.9 |
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13.5 |
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13.5 |
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Secondary education |
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10.7 |
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10.1 |
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9.8 |
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LAW AND ORDER |
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2015 |
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2016 |
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2017 |
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Crimes |
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Total (case) |
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13 653 |
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14 387 |
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14 293 |
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Crime against property |
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7 584 |
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7 658 |
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8 087 |
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Crime against person |
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2 721 |
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2 909 |
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2 919 |
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Crime against the territory |
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1 136 |
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1 585 |
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1 227 |
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Crime against life in society |
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813 |
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989 |
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1 013 |
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Others |
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1 399 |
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1 246 |
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1 047 |
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Prisoners |
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End-year total |
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1 280 |
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1 271 |
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1 284 |
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Male |
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1 068 |
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1 085 |
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1 105 |
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Female |
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212 |
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186 |
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179 |
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HEALTH |
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2015 |
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2016 |
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2017 |
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Health care establishments |
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Hospital / Day hospital |
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5 |
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5 |
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5 |
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Health centre / Health station |
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10 |
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10 |
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10 |
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Clinic / Dental clinic |
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240 |
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225 |
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210 |
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Chinese medicine clinic |
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135 |
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120 |
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118 |
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Establishment of health care services |
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308 |
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319 |
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346 |
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Health resources (per 1 000 population) |
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Doctor |
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2.6 |
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2.7 |
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2.6 |
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Nurse |
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3.5 |
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3.6 |
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3.7 |
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In-patient bed |
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2.3 |
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2.5 |
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2.4 |
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Underlying causes of death (%) |
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Neoplasms |
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36.7 |
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36.6 |
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34.8 |
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Diseases of the circulatory system |
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25.2 |
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24.4 |
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24.7 |
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Diseases of the respiratory system |
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16.0 |
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17.0 |
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19.2 |
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ENVIRONMENT |
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2015 |
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2016 |
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2017 |
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Water consumption |
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Per-capita water consumption (m³/day) |
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0.36 |
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0.36 |
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0.37 |
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Electricity consumption |
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Per-capita electricity consumption |
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7.80 |
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8.11 |
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8.35 |
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(’000 kWh) |
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Solid waste |
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Solid waste incinerated (t) |
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|
509 111 |
|
515 804 |
r |
525 727 |
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LABOUR FORCE |
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2015 |
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2016 |
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2017 |
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Labour force and labour force |
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participation rate |
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Labour force (’000) |
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403.8 |
|
397.2 |
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387.4 |
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Labour force participation rate (%) |
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|
73.7 |
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72.3 |
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70.8 |
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Unemployed population and |
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unemployment rate |
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Unemployed population (’000) |
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|
7.3 |
|
7.6 |
|
7.6 |
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Overall unemployment rate (%) |
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|
1.8 |
|
1.9 |
|
2.0 |
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Unemployment rate of local residents (%) |
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|
2.5 |
|
2.7 |
|
2.7 |
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|
Underemployed population and |
|
|
|
|
|
|
|
|
|
|
|
underemployment rate |
|
|
|
|
|
|
|
|
|
|
|
Underemployed population (’000) |
|
|
1.6 |
|
2.2 |
|
1.7 |
|
|
|
|
Underemployment rate (%) |
|
|
0.4 |
|
0.5 |
|
0.4 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employed population |
|
|
|
|
|
|
|
|
|
|
|
Employed population (’000) |
|
|
396.5 |
|
389.7 |
|
379.8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Median age of employed population |
|
|
39.5 |
|
39.5 |
|
39.5 |
|
|
|
|
|
|
|
|
|
39.8 |
|
39.5 |
|
39.7 |
|
|
|
|
|
|
|
|
|
39.2 |
|
39.4 |
|
39.4 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employed population by industry (%) |
|
|
|
|
|
|
|
|
|
|
|
|
Manufacturing |
|
|
1.7 |
|
2.0 |
|
1.7 |
|
|
|
|
|
Construction |
|
|
13.8 |
|
11.4 |
|
8.6 |
|
|
|
|
|
Wholesale & retail trade |
|
|
11.4 |
|
11.3 |
|
12.1 |
|
|
|
|
|
Hotels, restaurants & similar activities |
|
|
13.9 |
|
14.7 |
|
14.4 |
|
|
|
|
|
Transport, storage & communications |
|
|
4.4 |
|
4.9 |
|
5.0 |
|
|
|
|
|
Financial intermediation |
|
|
2.7 |
|
2.7 |
|
3.0 |
|
|
|
|
|
Real estate & business activities |
|
|
7.5 |
|
7.8 |
|
8.0 |
|
|
|
|
|
Public administration & social security |
|
|
7.4 |
|
7.3 |
|
7.6 |
|
|
|
|
|
Education |
|
|
4.2 |
|
4.1 |
|
4.5 |
|
|
|
|
|
Health & social welfare |
|
|
2.8 |
|
3.1 |
|
3.4 |
|
|
|
|
|
Recreational, cultural, gaming & other |
|
|
23.8 |
|
23.8 |
|
24.3 |
|
|
|
|
|
services |
|
|
|
|
|
|
|
|
|
|
|
|
|
Gaming & junket activities |
|
|
21.1 |
|
20.8 |
|
21.2 |
|
|
|
|
|
Domestic work |
|
|
5.9 |
|
6.5 |
|
7.0 |
|
|
|
|
|
Others |
|
|
0.4 |
|
0.4 |
|
0.5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Median monthly employment |
|
|
15 000 |
|
15 000 |
|
15 000 |
|
|
|
|
earnings |
|
|
|
|
|
|
|
|
|
|
of the employed
(MOP) |
|
|
By industry |
|
|
|
|
|
|
|
|
|
|
|
|
|
Manufacturing |
|
|
10 300 |
|
11 300 |
|
12 000 |
|
|
|
|
|
|
Construction |
|
|
13 000 |
|
15 000 |
|
15 000 |
|
|
|
|
|
|
Wholesale & retail trade |
|
|
12 000 |
|
12 000 |
|
13 000 |
|
|
|
|
|
|
Hotels, restaurants & similar activities |
|
|
10 000 |
|
10 000 |
|
10 000 |
|
|
|
|
|
|
Transport, storage & communications |
|
|
14 000 |
|
14 000 |
|
15 300 |
|
|
|
|
|
|
Financial intermediation |
|
|
18 000 |
|
20 000 |
|
20 000 |
|
|
|
|
|
|
Real estate & business activities |
|
|
9 500 |
|
10 000 |
|
10 000 |
|
|
|
|
|
|
Public administration & social security |
|
|
34 800 |
|
35 000 |
|
37 400 |
|
|
|
|
|
|
Gaming & junket activities |
|
|
19 000 |
|
19 000 |
|
19 600 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
By occupation |
|
|
|
|
|
|
|
|
|
|
|
|
Legislators, government officials, |
|
|
35 000 |
|
30 000 |
|
32 000 |
|
|
|
|
|
association
leaders, company directors |
|
|
|
|
|
|
|
|
|
|
|
|
and
managers |
|
|
|
|
|
|
|
|
|
|
|
|
Professionals |
|
|
33 300 |
|
40 000 |
|
36 000 |
|
|
|
|
|
Technicians and associate professionals |
|
|
23 000 |
|
24 000 |
|
25 000 |
|
|
|
|
|
Clerks |
|
|
18 000 |
|
18 000 |
|
19 000 |
|
|
|
|
|
|
Croupiers, cage cashiers, etc. |
|
|
19 000 |
|
20 000 |
|
20 000 |
|
|
|
|
|
Service and sales workers |
|
|
10 000 |
|
11 000 |
|
11 000 |
|
|
|
|
|
Craftsmen and similar workers |
|
|
13 000 |
|
15 000 |
|
15 000 |
|
|
|
|
|
Plant and machine operators, drivers |
|
|
14 000 |
|
14 000 |
|
15 000 |
|
|
|
|
|
and
assemblers |
|
|
|
|
|
|
|
|
|
|
|
|
Unskilled workers |
|
|
6 000 |
|
6 700 |
|
6 300 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Non-resident workers (end-year) |
|
|
181 646 |
|
177 638 |
|
179 456 |
|
|
|
|
From |
|
|
|
|
|
|
|
|
|
|
|
|
|
Mainland China |
|
|
116 383 |
|
113 417 |
|
113 208 |
|
|
|
|
|
Philippines |
|
|
24 728 |
|
26 700 |
|
28 688 |
|
|
|
|
|
Vietnam |
|
|
14 727 |
|
14 807 |
|
14 920 |
|
|
|
|
|
Hong Kong |
|
|
8 992 |
|
5 790 |
|
5 045 |
|
|
|
|
|
Indonesia |
|
|
4 200 |
|
4 362 |
|
4 765 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
By industry |
|
|
|
|
|
|
|
|
|
|
|
|
Manufacturing |
|
|
4 946 |
|
4 882 |
|
5 162 |
|
|
|
|
|
Construction |
|
|
43 480 |
|
34 612 |
|
30 174 |
|
|
|
|
|
Wholesale & retail trade |
|
|
19 489 |
|
19 875 |
|
21 098 |
|
|
|
|
|
Hotels, restaurants & similar activities |
|
|
48 099 |
|
49 989 |
|
51 169 |
|
|
|
|
|
Real estate & business activities |
|
|
17 603 |
|
18 972 |
|
19 796 |
|
|
|
|
|
Recreational, cultural, gaming & other |
|
|
13 933 |
|
13 338 |
|
13 815 |
|
|
|
|
|
services |
|
|
|
|
|
|
|
|
|
|
|
|
Domestic work |
|
|
23 723 |
|
25 089 |
|
26 974 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TRANSPORT |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lane length of public roads (km) |
|
|
427.0 |
|
427.4 |
|
427.5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Licensed motor vehicles |
|
|
249 040 |
|
250 450 |
|
241 457 |
|
|
|
|
Of which: |
Automobile |
|
|
118 984 |
|
118 900 |
|
114 773 |
|
|
|
|
|
|
Motorcycle |
|
|
129 644 |
|
131 139 |
|
126 274 |
|
|
|
|
Automobiles per 1 000 population |
|
|
184 |
|
184 |
|
176 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
New registration of motor vehicles |
|
|
19 645 |
|
13 935 |
|
16 803 |
|
|
|
|
Of which: |
Automobile |
|
|
9 425 |
|
6 149 |
|
5 940 |
|
|
|
|
|
|
Motorcycle |
|
|
10 216 |
|
7 784 |
|
10 860 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Traffic accidents (case) |
|
|
15 804 |
|
15 342 |
|
14 717 |
|
|
|
|
Fatalities |
|
|
15 |
|
9 |
|
8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Cross-border vehicular traffic |
|
|
5 131 997 |
|
5 070 874 |
|
4 818 794 |
|
|
|
|
Inbound |
|
|
2 564 804 |
|
2 529 495 |
|
2 413 017 |
|
|
|
|
Outbound |
|
|
2 567 193 |
|
2 541 379 |
|
2 405 777 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Passenger ferry movements |
|
|
145 385 |
|
140 671 |
r |
138 684 |
|
|
|
|
Arrival |
|
|
|
72 105 |
|
69 551 |
r |
69 081 |
|
|
|
|
Departure |
|
|
73 280 |
|
71 120 |
r |
69 603 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Commercial flight movements |
|
|
52 182 |
|
53 617 |
|
54 842 |
|
|
|
|
Arrival |
|
|
|
26 092 |
|
26 809 |
|
27 415 |
|
|
|
|
Departure |
|
|
26 090 |
|
26 808 |
|
27 427 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross weight of containerized cargo (t) |
|
|
278 201 |
|
200 306 |
|
174 375 |
|
|
|
|
By land |
|
|
26 040 |
|
20 750 |
|
13 892 |
|
|
|
|
|
Import |
|
|
14 183 |
|
14 204 |
|
8 077 |
|
|
|
|
|
Export |
|
|
2 534 |
|
2 343 |
|
2 642 |
|
|
|
|
|
Transit |
|
|
9 323 |
|
4 202 |
|
3 173 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
By sea |
|
|
|
252 160 |
|
179 557 |
|
160 483 |
|
|
|
|
|
Import |
|
|
228 556 |
|
156 588 |
|
137 440 |
|
|
|
|
|
Export |
|
|
15 980 |
|
18 766 |
|
20 270 |
|
|
|
|
|
Transit |
|
|
7 624 |
|
4 203 |
|
2 774 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Seaborne container throughput (TEU) |
|
|
149 726 |
|
129 416 |
|
129 798 |
|
|
|
|
Import |
|
|
|
91 932 |
|
80 922 |
|
81 958 |
|
|
|
|
Export |
|
|
|
57 508 |
|
48 413 |
|
47 631 |
|
|
|
|
Transit |
|
|
|
287 |
|
82 |
|
209 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross weight of air cargo (t) |
|
|
30 058 |
|
32 891 |
|
37 493 |
|
|
|
|
Import |
|
|
|
7 410 |
|
6 427 |
|
6 643 |
|
|
|
|
Export |
|
|
|
16 278 |
|
19 622 |
|
23 356 |
|
|
|
|
Transit |
|
|
|
6 370 |
|
6 842 |
|
7 494 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TELECOMMUNICATIONS |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Telephone subscribers |
|
|
|
|
|
|
|
|
|
|
|
Fixed-line telephone |
|
|
147 074 |
|
139 154 |
|
131 839 |
|
|
|
|
Mobile phone |
|
|
1 896 097 |
|
1 969 972 |
|
2 249 124 |
|
|
|
|
(Including
stored-value GSM card) |
|
|
|
|
|
|
|
|
|
|
|
Stored-value GSM card |
|
|
1 219 079 |
|
1 269 363 |
|
1 505 863 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Telephone subscribers per 1 000 population |
|
|
|
|
|
|
|
|
|
|
|
Fixed-line telephone |
|
|
227 |
|
216 |
|
202 |
|
|
|
|
Mobile phone |
|
|
2 932 |
|
3 055 |
|
3 444 |
|
|
|
|
(Including
stored-value GSM card) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Internet services |
|
|
|
|
|
|
|
|
|
|
|
Subscribers |
|
|
338 899 |
|
363 372 |
|
396 596 |
|
|
|
|
Duration of usage (’000 hours) |
|
|
1 063 685 |
|
1 166 937 |
|
1 241 939 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
FOREIGN DIRECT INVESTMENT |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2014 |
|
2015 |
r |
2016 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Stock (million MOP) |
|
|
220 772 |
|
232 447 |
|
244 271 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Flows (million MOP) |
|
|
27 321 |
|
8 950 |
|
11 809 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Income (million MOP) |
|
|
85 516 |
|
51 734 |
|
48 751 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CONSTRUCTION AND PURCHASE AND SALE OF REAL ESTATE |
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Building units |
|
|
258 408 |
|
261 199 |
|
265 998 |
|
|
|
|
Residential |
|
|
216 387 |
|
219 010 |
|
223 640 |
|
|
|
|
Industrial and commercial |
|
|
42 021 |
|
42 189 |
|
42 358 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Vacant units |
|
|
18 862 |
|
17 239 |
|
19 977 |
|
|
|
|
Residential |
|
|
14 058 |
|
12 497 |
|
15 252 |
|
|
|
|
Industrial and commercial |
|
|
4 804 |
|
4 742 |
|
4 725 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Building units with licence of use |
|
|
|
|
|
|
|
|
|
|
|
issued (Completion of buildings) |
|
|
|
|
|
|
|
|
|
|
|
Residential |
(no.) |
|
4 218 |
|
404 |
|
4 318 |
|
|
|
|
|
Gross floor area |
(m²) |
|
648 719 |
|
46 119 |
|
337 658 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Shops |
|
(no.) |
|
108 |
|
85 |
|
165 |
|
|
|
|
|
Gross floor area |
(m²) |
|
44 008 |
|
15 041 |
|
17 725 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Offices |
(no.) |
|
1 |
|
- |
|
1 |
|
|
|
|
|
Gross floor area |
(m²) |
|
2 227 |
|
- |
|
3 249 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Industrial |
(no.) |
|
3 |
|
1 |
|
6 |
|
|
|
|
|
Gross floor area |
(m²) |
|
27 430 |
|
3 564 |
|
90 731 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Others |
(no.) |
|
34 |
|
8 |
|
21 |
|
|
|
|
|
Gross floor area |
(m²) |
|
1 855 433 |
|
127 466 |
|
390 154 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Parking spaces |
|
|
|
|
|
|
|
|
|
|
|
|
Cars |
(no.) |
|
8 232 |
|
551 |
|
2 839 |
|
|
|
|
|
Motorcycles |
(no.) |
|
2 433 |
|
143 |
|
1 557 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Purchase and sales of building units |
|
|
|
|
|
|
|
|
|
|
|
and parking
spaces (no.) |
|
|
|
|
|
|
|
|
|
|
|
Residential |
|
|
5 976 |
|
10 170 |
|
10 581 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Shops |
|
|
|
658 |
|
555 |
|
589 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Offices |
|
|
|
231 |
|
197 |
|
284 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Industrial |
|
|
74 |
|
84 |
|
117 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Parking spaces |
|
|
2 752 |
|
3 013 |
|
2 284 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Others |
|
|
|
80 |
|
89 |
|
130 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Value of building units and parking spaces |
|
|
|
|
|
|
|
|
|
|
|
purchased
and sold (million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Residential |
|
|
33 449 |
|
58 755 |
|
69 442 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Shops |
|
|
|
9 140 |
|
7 816 |
|
7 340 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Offices |
|
|
|
1 885 |
|
1 320 |
|
2 399 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Industrial |
|
|
1 008 |
|
1 068 |
|
1 543 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Parking spaces |
|
|
4 687 |
|
4 194 |
|
3 498 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Others |
|
|
|
1 492 |
|
975 |
|
1 006 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average price per m² (MOP) |
|
|
|
|
|
|
|
|
|
|
|
Residential |
|
|
86 826 |
|
86 342 |
|
100 822 |
|
|
|
|
Offices |
|
|
|
113 444 |
|
100 057 |
|
113 198 |
|
|
|
|
Industrial |
|
|
50 564 |
|
47 568 |
|
54 411 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
End-balance of domestic credit |
|
|
|
|
|
|
|
|
|
|
|
(million
MOP) |
|
|
|
|
|
|
|
|
|
|
|
Personal housing loans |
|
|
127 504.9 |
|
138 565.1 |
|
148 156.9 |
|
|
|
|
Construction and public works |
|
|
46 213.1 |
|
47 468.8 |
r |
53 903.6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
ENERGY |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Electricity |
|
|
|
|
|
|
|
|
|
|
|
Gross production (million kWh) |
|
|
962.2 |
|
987.9 |
|
1 465.0 |
|
|
|
|
Imports (million kWh) |
|
|
4 054.5 |
|
4 305.8 |
|
3 951.5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average selling price (MOP) |
|
|
|
|
|
|
|
|
|
|
|
Unleaded gasoline (per L) |
|
|
10.05 |
|
9.55 |
|
10.16 |
|
|
|
|
Gas oil and diesel for automotive use (per L) |
|
|
11.69 |
|
11.42 |
|
12.30 |
|
|
|
|
Bottled liquefied petroleum gas (per kg) |
|
|
13.71 |
|
13.58 |
|
14.92 |
|
|
|
|
Centralized liquefied petroleum gas (per m³) |
|
|
36.63 |
|
36.10 |
|
39.39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
EXTERNAL MERCHANDISE TRADE |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Merchandise exports (million MOP) |
|
|
10 692 |
|
10 047 |
|
11 283 |
|
|
|
|
Domestic exports |
|
|
1 821 |
|
1 963 |
|
1 786 |
|
|
|
|
|
Copper and articles thereof |
|
|
435 |
|
465 |
|
464 |
|
|
|
|
|
Tobacco |
|
|
454 |
|
477 |
|
346 |
|
|
|
|
|
Glass and glassware |
|
|
137 |
|
151 |
|
111 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Re-exports |
|
|
8 871 |
|
8 084 |
|
9 498 |
|
|
|
|
|
Garments |
|
|
620 |
|
602 |
|
747 |
|
|
|
|
|
Electronic components |
|
|
978 |
|
1 150 |
|
741 |
|
|
|
|
|
Diamond and diamond jewellery |
|
|
577 |
|
445 |
|
635 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
By major destination |
|
|
|
|
|
|
|
|
|
|
|
|
Mainland China |
|
|
1 837 |
|
1 751 |
|
2 121 |
|
|
|
|
|
Hong Kong |
|
|
6 326 |
|
5 559 |
|
6 599 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
European Union |
|
|
226 |
|
175 |
|
190 |
|
|
|
|
|
|
France |
|
|
45 |
|
32 |
|
63 |
|
|
|
|
|
|
Germany |
|
|
50 |
|
49 |
|
39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
USA |
|
|
197 |
|
156 |
|
186 |
|
|
|
|
|
Japan |
|
|
236 |
|
311 |
|
173 |
|
|
|
|
|
India |
|
|
36 |
|
34 |
|
76 |
|
|
|
|
|
Singapore |
|
|
77 |
|
80 |
|
55 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Merchandise imports (million MOP) |
|
|
84 663 |
|
71 352 |
|
75 851 |
|
|
|
|
Consumer goods |
|
|
50 563 |
|
44 744 |
|
49 497 |
|
|
|
|
Capital goods |
|
|
16 600 |
|
12 655 |
|
12 275 |
|
|
|
|
Raw materials and semi- |
|
|
10 603 |
|
7 842 |
|
7 652 |
|
|
|
|
manufactures |
|
|
|
|
|
|
|
|
|
|
|
Fuels and lubricants |
|
|
6 896 |
|
6 111 |
|
6 427 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
By major country/territory of origin |
|
|
|
|
|
|
|
|
|
|
|
|
Mainland China |
|
|
31 853 |
|
25 844 |
|
25 696 |
|
|
|
|
|
Hong Kong |
|
|
7 535 |
|
6 211 |
|
6 799 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
European Union |
|
|
18 838 |
|
17 034 |
|
19 085 |
|
|
|
|
|
|
Italy |
|
|
5 678 |
|
5 590 |
|
7 082 |
|
|
|
|
|
|
France |
|
|
5 685 |
|
5 626 |
|
5 657 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Switzerland |
|
|
6 413 |
|
5 288 |
|
5 594 |
|
|
|
|
|
Japan |
|
|
5 166 |
|
4 518 |
|
5 451 |
|
|
|
|
|
USA |
|
|
4 798 |
|
3 431 |
|
3 319 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
EXTERNAL MERCHANDISE TRADE INDEX (2016=100) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Exports of goods |
|
|
|
|
|
|
|
|
|
|
|
Value index |
|
|
106.4 |
|
100.0 |
|
112.3 |
|
|
|
|
Unit value index |
|
|
100.8 |
|
100.0 |
|
100.0 |
|
|
|
|
Quantum index |
|
|
105.6 |
|
100.0 |
|
112.3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Imports of goods |
|
|
|
|
|
|
|
|
|
|
|
Value index |
|
|
118.7 |
|
100.0 |
|
106.3 |
|
|
|
|
Unit value index |
|
|
101.4 |
|
100.0 |
|
99.8 |
|
|
|
|
Quantum index |
|
|
117.1 |
|
100.0 |
|
106.6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Terms of trade index |
|
|
99.5 |
|
100.0 |
|
100.2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CONSUMER PRICE INDEX (10/2013 - 9/2014=100) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Inflation rate (%) |
|
|
4.56 |
|
2.37 |
|
1.23 |
|
|
|
|
Composite CPI |
|
|
105.72 |
|
108.23 |
|
109.56 |
|
|
|
|
CPI-A |
|
|
|
105.92 |
|
108.35 |
|
109.66 |
|
|
|
|
CPI-B |
|
|
|
104.10 |
|
107.20 |
|
108.73 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
VALUE OF RETAIL SALES |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Value of retail sales (million MOP) |
|
|
61 541 |
|
58 839 |
r |
66 256 |
|
|
|
|
Sales Volume Index (04/2015-03/2016=100) |
|
|
103.77 |
|
100.71 |
|
113.35 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
MICE |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
No. of Events |
|
|
1 263 |
|
1 276 |
|
1 381 |
|
|
|
|
Meetings & Conferences |
|
|
1 163 |
|
1 195 |
|
1 285 |
|
|
|
|
Of which: 4 hours or more |
|
|
811 |
|
788 |
|
869 |
|
|
|
|
Exhibitions |
|
|
78 |
|
55 |
|
51 |
|
|
|
|
Incentives |
|
|
22 |
|
26 |
|
45 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Participants and Attendees |
|
|
2 516 092 |
|
1 721 527 |
|
1 900 807 |
|
|
|
|
Meeting Participants |
|
|
117 851 |
|
175 852 |
|
244 912 |
|
|
|
|
Of which: 4 hours or more |
|
|
83 488 |
|
131 853 |
|
206 423 |
|
|
|
|
Exhibition Attendees |
|
|
2 393 461 |
|
1 500 324 |
|
1 608 075 |
|
|
|
|
Incentive Participants |
|
|
4 780 |
|
45 351 |
|
47 820 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average Duration of Events (day) |
|
|
1.7 |
|
1.6 |
|
1.7 |
|
|
|
|
Average Duration of Meetings |
|
|
1.6 |
|
1.5 |
|
1.6 |
|
|
|
|
Of which: 4 hours or more |
|
|
2.1 |
|
2.0 |
|
2.1 |
|
|
|
|
Average Duration of Exhibitions |
|
|
3.3 |
|
3.3 |
|
3.4 |
|
|
|
|
Average Duration of Incentives |
|
|
3.0 |
|
2.1 |
|
3.0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Floor area used (m2) |
|
|
854 095 |
|
1 429 519 |
r |
1 841 230 |
|
|
|
|
Meetings & Conferences |
|
|
442 721 |
|
781 570 |
|
1 197 941 |
|
|
|
|
Of which: 4 hours or more |
|
|
341 085 |
|
650 916 |
|
1 072 651 |
|
|
|
|
Exhibitions |
|
|
395 510 |
|
309 900 |
r |
301 604 |
|
|
|
|
Incentives |
|
|
15 864 |
|
338 049 |
|
341 685 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Note: Incentives in 2015 only include incentive
meetings. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TOURIST PRICE INDEX (10/2009 - 09/2010=100) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Tourist Price Index (TPI) |
|
|
138.39 |
|
130.86 |
|
131.87 |
|
|
|
|
Year-on-year change (%) |
|
|
-0.86 |
|
-5.44 |
|
0.77 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TOURISM |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Visitor arrivals (’000) |
|
|
30 714.6 |
|
30 950.3 |
|
32 610.5 |
|
|
|
|
Mainland China |
|
|
20 410.6 |
|
20 454.1 |
|
22 196.2 |
|
|
|
|
|
Individual Visit Scheme |
|
|
9 519.3 |
|
9 579.4 |
|
10 615.5 |
|
|
|
|
Hong Kong |
|
|
6 534.5 |
|
6 419.8 |
|
6 165.1 |
|
|
|
|
Taiwan |
|
|
988.1 |
|
1 074.5 |
|
1 060.1 |
|
|
|
|
Philippines |
|
|
276.8 |
|
287.0 |
|
307.1 |
|
|
|
|
India |
|
|
|
167.6 |
|
165.3 |
|
148.1 |
|
|
|
|
Indonesia |
|
|
163.4 |
|
182.5 |
|
197.1 |
|
|
|
|
Japan |
|
|
|
282.2 |
|
300.6 |
|
329.0 |
|
|
|
|
Malaysia |
|
|
229.1 |
|
222.8 |
|
218.3 |
|
|
|
|
Republic of Korea |
|
|
554.2 |
|
662.3 |
|
874.3 |
|
|
|
|
Singapore |
|
|
158.8 |
|
155.8 |
|
143.1 |
|
|
|
|
Thailand |
|
|
180.8 |
|
236.2 |
|
198.2 |
|
|
|
|
Canada |
|
|
71.0 |
|
75.2 |
|
74.3 |
|
|
|
|
USA |
|
|
|
182.5 |
|
190.9 |
|
186.4 |
|
|
|
|
Germany |
|
|
27.6 |
|
30.0 |
|
28.7 |
|
|
|
|
Russian Federation |
|
|
22.8 |
|
25.1 |
|
27.0 |
|
|
|
|
France |
|
|
|
41.0 |
|
42.7 |
|
40.4 |
|
|
|
|
United Kingdom |
|
|
60.0 |
|
61.3 |
|
57.1 |
|
|
|
|
Australia |
|
|
92.4 |
|
93.3 |
|
89.0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Overnight visitors |
|
|
14 307.8 |
|
15 703.6 |
|
17 254.8 |
|
|
|
|
Same-day visitors |
|
|
16 406.9 |
|
15 246.7 |
|
15 355.7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average length of stay of visitors (day) |
|
|
1.1 |
|
1.2 |
|
1.2 |
|
|
|
|
Overnight visitors |
|
|
2.1 |
|
2.1 |
|
2.1 |
|
|
|
|
Same-day visitors |
|
|
0.2 |
|
0.2 |
|
0.2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Visitors on package tours ('000) |
|
|
9 844.2 |
|
7 552.1 |
|
8 622.8 |
|
|
|
|
Mainland China |
|
|
8 086.0 |
|
5 978.4 |
|
6 921.2 |
|
|
|
|
Hong Kong |
|
|
243.6 |
|
168.0 |
|
168.9 |
|
|
|
|
Taiwan |
|
|
542.6 |
|
426.2 |
|
452.7 |
|
|
|
|
Japan |
|
|
|
148.9 |
|
154.6 |
|
153.7 |
|
|
|
|
Republic of Korea |
|
|
325.1 |
|
370.9 |
|
480.2 |
|
|
|
|
USA |
|
|
|
19.3 |
|
16.4 |
|
15.2 |
|
|
|
|
United Kingdom |
|
|
5.9 |
|
5.1 |
|
4.8 |
|
|
|
|
Australia |
|
|
5.8 |
|
6.1 |
|
7.3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Visitors arriving on guided tours |
|
|
8 588.8 |
|
7 041.5 |
|
7 919.3 |
|
|
|
|
Visitors joining local tours |
|
|
1 255.3 |
|
510.7 |
|
703.4 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Hotels and guesthouses |
|
|
|
|
|
|
|
|
|
|
|
Operating establishments (no.) |
|
|
106 |
|
107 |
|
111 |
|
|
|
|
|
Of which
: 5-star hotels |
|
|
32 |
|
32 |
|
33 |
|
|
|
|
|
|
4-star
hotels |
|
|
17 |
|
17 |
|
17 |
|
|
|
|
|
|
3-star
hotels |
|
|
13 |
|
15 |
|
16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Guest rooms (’000) |
|
|
32.3 |
|
36.3 |
|
37.1 |
|
|
|
|
|
Of which
: 5-star hotels |
|
|
20.6 |
|
21.8 |
|
22.3 |
|
|
|
|
|
|
4-star
hotels |
|
|
7.7 |
|
7.7 |
|
7.7 |
|
|
|
|
|
|
3-star
hotels |
|
|
2.5 |
|
5.5 |
|
5.6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average occupancy rate (%) |
|
|
81.5 |
|
83.3 |
|
86.9 |
|
|
|
|
|
Of which
: 5-star hotels |
|
|
83.4 |
|
83.7 |
|
87.8 |
|
|
|
|
|
|
4-star
hotels |
|
|
80.6 |
|
86.3 |
|
89.4 |
|
|
|
|
|
|
3-star
hotels |
|
|
79.7 |
|
82.3 |
|
84.6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Guests (’000) |
|
|
10 568.9 |
|
11 999.7 |
|
13 155.2 |
|
|
|
|
|
Of which
: 5-star hotels |
|
|
6 237.4 |
|
6 653.6 |
|
7 064.9 |
|
|
|
|
|
|
4-star
hotels |
|
|
2 812.1 |
|
3 498.7 |
|
3 630.4 |
|
|
|
|
|
|
3-star
hotels |
|
|
1 045.3 |
|
1 396.3 |
|
1 981.9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Average length of stay of guests (night) |
|
|
1.5 |
|
1.4 |
|
1.5 |
|
|
|
|
|
Of which
: 5-star hotels |
|
|
1.6 |
|
1.5 |
|
1.6 |
|
|
|
|
|
|
4-star
hotels |
|
|
1.2 |
|
1.3 |
|
1.3 |
|
|
|
|
|
|
3-star
hotels |
|
|
1.4 |
|
1.4 |
|
1.4 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Spending of visitors |
|
|
|
|
|
|
|
|
|
|
|
Total spending (million MOP) |
|
|
51 128 |
|
52 662 |
|
61 324 |
|
|
|
|
Overnight visitors |
|
|
40 165 |
|
42 097 |
|
49 753 |
|
|
|
|
Same-day visitors |
|
|
10 963 |
|
10 564 |
|
11 571 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Per-capita spending (MOP) |
|
|
|
|
|
|
|
|
|
|
|
Visitors |
|
|
1 665 |
|
1 701 |
|
1 880 |
|
|
|
|
|
Mainland China |
|
|
1 965 |
|
1 975 |
|
2 203 |
|
|
|
|
|
|
Individual Visit Scheme |
|
|
2 292 |
|
2 260 |
|
2 486 |
|
|
|
|
|
Hong Kong |
|
|
887 |
|
999 |
|
970 |
|
|
|
|
|
Taiwan |
|
|
1 466 |
|
1 620 |
|
1 585 |
|
|
|
|
|
Japan |
|
|
1 524 |
|
1 708 |
|
1 744 |
|
|
|
|
|
Malaysia |
|
|
1 556 |
|
1 688 |
|
1 762 |
|
|
|
|
|
Singapore |
|
|
1 726 |
|
1 773 |
|
1 848 |
|
|
|
|
|
Thailand |
|
|
1 323 |
|
1 083 |
|
1 182 |
|
|
|
|
|
USA |
|
|
1 281 |
|
1 262 |
|
1 236 |
|
|
|
|
|
United Kingdom |
|
|
1 329 |
|
1 242 |
|
1 195 |
|
|
|
|
|
Australia |
|
|
1 375 |
|
1 438 |
|
1 429 |
|
|
|
|
Overnight visitors |
|
|
2 807 |
|
2 681 |
|
2 883 |
|
|
|
|
Same-day visitors |
|
|
668 |
|
693 |
|
754 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Outbound Macao residents travelling |
|
|
1 465.7 |
|
1 250.8 |
|
1 391.2 |
|
|
|
|
using services of travel agencies (’000) |
|
|
|
|
|
|
|
|
|
|
|
On package tours |
|
|
610.5 |
|
496.3 |
|
561.2 |
|
|
|
|
Under individual arrangements |
|
|
855.2 |
|
754.5 |
|
829.9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Note:
Visitor spending excludes gaming expenses. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
GAMING |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Game of chance |
|
|
|
|
|
|
|
|
|
|
|
Casino (no.) |
|
|
36 |
|
38 |
|
40 |
|
|
|
|
Gaming table (no.) |
|
|
5 957 |
|
6 287 |
|
6 419 |
|
|
|
|
Slot machine (no.) |
|
|
14 578 |
|
13 826 |
|
15 622 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross gaming revenue (million MOP) |
|
|
231 811 |
|
224 128 |
|
266 607 |
|
|
|
|
Game of chance |
|
|
230 840 |
|
223 210 |
|
265 743 |
|
|
|
|
|
VIP Baccarat |
|
|
127 818 |
|
118 960 |
|
150 673 |
|
|
|
|
|
Baccarat |
|
|
76 212 |
|
76 903 |
|
84 283 |
|
|
|
|
|
Slot machine |
|
|
11 754 |
|
11 384 |
|
13 164 |
|
|
|
|
|
Cussec |
|
|
6 347 |
|
6 626 |
|
7 480 |
|
|
|
|
|
Blackjack |
|
|
2 352 |
|
2 456 |
|
2 662 |
|
|
|
|
Others |
|
|
|
971 |
|
918 |
|
864 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Parimutuel and lottery betting |
|
|
9 653 |
|
9 557 |
|
8 917 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
PUBLIC FINANCE |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
r |
2017 |
p |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total government revenue |
|
|
116 111 |
|
110 502 |
|
118 069 |
|
|
|
|
(million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Tax revenue from gaming sector |
|
|
89 573 |
|
84 375 |
|
99 845 |
|
|
|
|
Other revenue |
|
|
26 539 |
|
26 127 |
|
18 224 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total government expenditure |
|
|
80 754 |
|
82 629 |
|
77 693 |
|
|
|
|
(million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Current expenditure |
|
|
68 019 |
|
70 498 |
|
61 379 |
|
|
|
|
Capital expenditure |
|
|
12 735 |
|
12 131 |
|
16 314 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Balance |
|
|
35 358 |
|
27 873 |
|
40 377 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
MONEY AND FINANCE |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
|
2016 |
|
2017 |
|
|
|
|
Average exchange rates of Macao Pataca |
|
|
|
|
|
|
|
|
|
|
|
(per 100
units of foreign currency) |
|
|
|
|
|
|
|
|
|
|
|
U.S. Dollar |
|
|
798.5 |
|
799.5 |
|
802.6 |
|
|
|
|
Euro |
|
|
|
886.2 |
|
885.1 |
|
906.8 |
|
|
|
|
Chinese Renminbi |
|
|
126.8 |
|
120.2 |
|
118.9 |
|
|
|
|
Japanese Yen |
|
|
6.6 |
|
7.4 |
|
7.2 |
|
|
|
|
Australian Dollar |
|
|
601.2 |
|
595.0 |
|
615.5 |
|
|
|
|
New Zealand Dollar |
|
|
558.8 |
|
557.5 |
|
570.8 |
|
|
|
|
Pound Sterling |
|
|
1 221.2 |
|
1 084.6 |
|
1 033.5 |
|
|
|
|
Canadian Dollar |
|
|
626.1 |
|
604.1 |
|
618.9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Money supply (million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Money supply (M1) |
|
|
61 661 |
|
63 674 |
r |
72 380 |
|
|
|
|
Money supply (M2) |
|
|
472 829 |
|
532 475 |
r |
591 485 |
|
|
|
|
Net foreign assets |
|
|
506 936 |
|
525 902 |
r |
592 379 |
|
|
|
|
Domestic credit to the private sector |
|
|
389 394 |
|
423 034 |
r |
458 699 |
|
|
|
|
Resident deposits |
|
|
460 789 |
|
518 920 |
r |
576 577 |
|
|
|
|
|
Savings deposits |
|
|
145 547 |
|
169 432 |
r |
192 424 |
|
|
|
|
End-balance of domestic credit to |
|
|
389 079 |
|
422 691 |
r |
458 365 |
|
|
|
|
the private
sector |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Interest rates of deposits in Pataca |
|
|
|
|
|
|
|
|
|
|
|
(annual %,
end of period) |
|
|
|
|
|
|
|
|
|
|
|
Savings deposits |
|
|
0.01 |
|
0.01 |
|
0.01 |
|
|
|
|
3-month time deposits |
|
|
0.03 |
|
0.04 |
|
0.06 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Foreign exchange reserves |
|
|
|
|
|
|
|
|
|
|
|
(million
MOP) |
|
|
|
|
|
|
|
|
|
|
|
Reserve balance |
|
|
150 813 |
|
155 674 |
r |
162 305 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Insurance (million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Premiums |
|
|
14 116 |
|
20 524 |
r |
21 918 |
p |
|
|
|
|
Life |
|
|
12 038 |
|
18 368 |
r |
19 636 |
p |
|
|
|
|
Non-life |
|
|
2 078 |
|
2 156 |
|
2 282 |
p |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Claims |
|
|
|
3 429 |
|
3 538 |
r |
10 248 |
p |
|
|
|
|
Life |
|
|
2 550 |
|
2 806 |
r |
3 725 |
p |
|
|
|
|
Non-life |
|
|
879 |
|
732 |
r |
6 524 |
p |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
GROSS NATIONAL INCOME (GNI) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2014 |
r |
2015 |
r |
2016 |
p |
|
|
|
At current prices (million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Gross Domestic Product |
|
|
442 070 |
|
362 213 |
|
362 265 |
|
|
|
|
|
|
|
|
|
(+7.3) |
|
(-18.1) |
|
(0#) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Net flow of external factor income |
|
|
-63 306 |
|
-29 254 |
|
-30 422 |
|
|
|
|
|
Total inflow |
|
|
34 862 |
|
36 795 |
|
31 185 |
|
|
|
|
|
Total outflow |
|
|
98 168 |
|
66 050 |
|
61 607 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross National Income |
|
|
378 764 |
|
332 959 |
|
331 844 |
|
|
|
|
|
|
|
|
|
(+9.2) |
|
(-12.1) |
|
(-0.3) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Per-capita Gross National Income (MOP) |
|
|
609 092 |
|
519 032 |
|
513 809 |
|
|
|
|
|
|
|
|
|
(+4.4) |
|
(-14.8) |
|
(-1.0) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
In chained (2015) dollars (million MOP) |
|
|
|
|
|
|
|
|
|
|
|
Gross Domestic Product |
|
|
461 974 |
|
362 213 |
|
359 087 |
|
|
|
|
|
|
|
|
|
(-1.2) |
|
(-21.6) |
|
(-0.9) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross National Income |
|
|
385 433 |
|
332 959 |
|
329 498 |
|
|
|
|
|
|
|
|
|
(+6.6) |
|
(-13.6) |
|
(-1.0) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Per-capita Gross National Income (MOP) |
|
|
619 817 |
|
519 032 |
|
510 177 |
|
|
|
|
|
|
|
|
|
(+2.0) |
|
(-16.3) |
|
(-1.7) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
GROSS DOMESTIC PRODUCT (GDP) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2015 |
r |
2016 |
r |
2017 |
p |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Expenditure-based GDP (million MOP) |
|
|
362 213 |
|
362 265 |
|
404 199 |
|
|
|
|
at current prices |
|
|
(-18.1) |
|
(+0.0) |
|
(+11.6) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Private consumption expenditure |
|
|
94 527 |
|
95 508 |
|
98 011 |
|
|
|
|
|
|
|
|
|
(+6.7) |
|
(+1.0) |
|
(+2.6) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Government final consumption |
|
|
34 780 |
|
37 726 |
|
39 973 |
|
|
|
|
expenditure |
|
|
(+11.7) |
|
(+8.5) |
|
(+6.0) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross capital formation |
|
|
91 004 |
|
78 485 |
|
74 684 |
|
|
|
|
|
|
|
|
|
(+5.0) |
|
(-13.8) |
|
(-4.8) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Exports of goods and services |
|
|
282 211 |
|
275 583 |
|
320 915 |
|
|
|
|
|
|
|
|
|
(-24.8) |
|
(-2.3) |
|
(+16.4) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Less: Imports of goods and services |
|
|
140 309 |
|
125 037 |
|
129 384 |
|
|
|
|
|
|
|
|
|
(+0.4) |
|
(-10.9) |
|
(+3.5) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Per-capita GDP (MOP) |
|
|
564 635 |
|
560 913 |
|
622 803 |
|
|
|
|
|
|
|
|
|
(-20.6) |
|
(-0.7) |
|
(+11.0) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Chain volume measures |
|
|
362 213 |
|
359 087 |
|
391 750 |
|
|
|
|
(in chained 2015 dollars) |
|
|
(-21.6) |
|
(-0.9) |
|
(+9.1) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Private consumption expenditure |
|
|
94 527 |
|
93 480 |
|
94 970 |
|
|
|
|
|
|
|
|
|
(+2.1) |
|
(-1.1) |
|
(+1.6) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Government final consumption |
|
|
34 780 |
|
36 317 |
|
36 937 |
|
|
|
|
expenditure |
|
|
(+4.2) |
|
(+4.4) |
|
(+1.7) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Gross capital formation |
|
|
91 004 |
|
78 443 |
|
70 590 |
|
|
|
|
|
|
|
|
|
(+3.3) |
|
(-13.8) |
|
(-10.0) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Exports of goods and services |
|
|
282 211 |
|
276 410 |
|
318 687 |
|
|
|
|
|
|
|
|
|
(-26.6) |
|
(-2.1) |
|
(+15.3) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Less: Imports of goods and services |
|
|
140 309 |
|
125 563 |
|
129 085 |
|
|
|
|
|
|
|
|
|
(+1.1) |
|
(-10.5) |
|
(+2.8) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Per-capita GDP (MOP) |
|
|
564 635 |
|
555 992 |
|
603 621 |
|
|
|
|
|
|
|
|
|
(-24.0) |
|
(-1.5) |
|
(+8.6) |
|
|
|
|
Change in real terms (%) |
|
|
|
|
|
|
|
|
|
|
|
|
Private investment |
|
|
+3.2 |
|
-12.3 |
|
-15.8 |
|
|
|
|
|
Public investment |
|
|
+27.9 |
|
-8.1 |
|
+35.7 |
|
|
|
|
|
Domestic demandª |
|
|
+2.9 |
|
-5.5 |
|
-2.7 |
|
|
|
|
|
Net exports (Exports-Imports) |
|
|
-43.1 |
|
+6.3 |
|
+25.7 |
|
|
|
|
|
Exports of goods |
|
|
+10.2 |
|
-20.5 |
|
+12.3 |
|
|
|
|
|
Exports of services |
|
|
-28.1 |
|
-1.0 |
|
+15.4 |
|
|
|
|
|
Imports of goods |
|
|
+1.0 |
|
-13.5 |
|
+0.4 |
|
|
|
|
|
Imports of services |
|
|
+1.6 |
|
-0.4 |
|
+9.6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Deflator (2015=100) |
|
|
|
|
|
|
|
|
|
|
|
|
Domestic demand deflator |
|
|
100.0 |
|
101.7 |
|
104.9 |
|
|
|
|
|
|
|
|
|
(+3.7) |
|
(+1.7) |
|
(+3.2) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
GDP deflator |
|
|
100.0 |
|
100.9 |
|
103.2 |
|
|
|
|
|
|
|
|
|
(+4.5) |
|
(+0.9) |
|
(+2.3) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
a Domestic
demand= Private consumption expenditure + Government final consumption |
|
|
|
|
|
|
expenditure + Gross capital formation |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
INDUSTRIAL STRUCTURE |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2014 |
|
2015 |
r |
2016 |
p |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Industrial Structure at current producers' prices(%) |
|
|
|
|
|
|
|
|
|
|
Secondary sector |
|
|
5.1 |
|
7.8 |
|
6.6 |
|
|
|
|
|
Manufacturing, mining & quarrrying |
|
|
0.4 |
|
0.6 |
|
0.6 |
|
|
|
|
|
Electricity, gas & water supply |
|
|
0.5 |
|
0.7 |
|
0.7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Construction |
|
|
4.2 |
|
6.5 |
|
5.3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Tertiary sector |
|
|
94.9 |
|
92.2 |
|
93.4 |
|
|
|
|
|
Wholesale & retail trade |
|
|
5.2 |
|
5.6 |
|
5.3 |
|
|
|
|
|
Hotels & similar activities |
|
3.5 |
|
3.8 |
|
4.1 |
|
|
|
|
|
Restaurants & similar activities |
|
|
1.6 |
|
1.7 |
|
1.8 |
|
|
|
|
|
Transport, storage & communications |
|
|
2.0 |
|
2.7 |
|
2.8 |
|
|
|
|
|
Banking |
|
|
3.9 |
|
5.3 |
|
5.5 |
|
|
|
|
|
Insurance & pension funding |
|
0.6 |
|
1.0 |
|
1.4 |
|
|
|
|
|
Real estate activities |
|
|
8.4 |
|
10.2 |
|
10.6 |
|
|
|
|
|
Renting & business activities |
|
|
3.7 |
|
3.9 |
|
4.1 |
|
|
|
|
|
Public administration |
|
|
3.0 |
|
4.2 |
|
4.4 |
|
|
|
|
|
Education |
|
1.3 |
|
1.8 |
|
1.9 |
|
|
|
|
|
Health & social
work |
|
1.0 |
|
1.3 |
|
1.5 |
|
|
|
|
|
Gaming & junket
activities |
|
58.5 |
|
48.0 |
|
47.2 |
|
|
|
|
|
Other community, social & personal services; |
|
|
2.1 |
|
2.7 |
|
2.7 |
|
|
|
|
|
|
households with
employed persons |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Change of gross value added in real terms(%) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Secondary sector |
|
|
32.7 |
|
11.6 |
|
-18.6 |
|
|
|
|
|
Manufacturing, mining & quarrrying |
|
|
12.9 |
|
14.9 |
|
-6.9 |
|
|
|
|
|
Electricity, gas & water supply |
|
|
20.9 |
|
9.9 |
|
6.6 |
|
|
|
|
|
Construction |
|
|
37.4 |
|
11.5 |
|
-22.2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Tertiary sector |
|
|
-3.6 |
|
-22.9 |
|
1.6 |
|
|
|
|
|
Wholesale & retail trade |
|
|
2.4 |
|
-3.4 |
|
-1.3 |
|
|
|
|
|
Hotels & similar activities |
|
6.7 |
|
-7.1 |
|
34.4 |
|
|
|
|
|
Restaurants & similar activities |
|
|
-2.5 |
|
-19.5 |
|
0.2 |
|
|
|
|
|
Transport, storage & communications |
|
|
19.2 |
|
4.8 |
|
6.5 |
|
|
|
|
|
Banking |
|
|
11.0 |
|
12.0 |
|
16.4 |
|
|
|
|
|
Insurance & pension funding |
|
-8.7 |
|
20.9 |
|
38.6 |
|
|
|
|
|
Real estate activities |
|
|
-2.9 |
|
-4.0 |
|
1.3 |
|
|
|
|
|
Renting & business activities |
|
|
8.6 |
|
-19.3 |
|
4.7 |
|
|
|
|
|
Public administration |
|
|
2.4 |
|
3.0 |
|
1.0 |
|
|
|
|
|
Education |
|
15.7 |
|
5.4 |
|
6.1 |
|
|
|
|
|
Health & social
work |
|
4.8 |
|
7.5 |
|
7.8 |
|
|
|
|
|
Gaming & junket
activities |
|
-7.5 |
|
-35.6 |
|
-3.5 |
|
|
|
|
|
Other community, social & personal services; |
|
|
-2.3 |
|
-1.2 |
|
-3.3 |
|
|
|
|
|
|
households with
employed persons |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
BALANCE OF PAYMENTS
(MILLION MOP) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2014 |
r |
2015 |
r |
2016 |
p |
|
|
|
Current account |
|
|
151 093 |
|
91 495 |
|
97 662 |
|
|
|
|
|
Goods |
|
|
-94 499 |
|
-92 746 |
|
-80 005 |
|
|
|
|
|
Services |
|
|
330 165 |
|
234 645 |
|
230 607 |
|
|
|
|
|
Primary income |
|
|
-63 306 |
|
-29 254 |
|
-30 422 |
|
|
|
|
|
Secondary income |
|
|
-21 267 |
|
-21 151 |
|
-22 518 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Capital account |
|
|
- 15 |
|
- 23 |
|
- 19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Financial accounta |
|
|
101 004 |
|
40 860 |
|
102 997 |
|
|
|
|
|
Financial non-reserve assets (net change) |
|
|
100 387 |
|
22 298 |
|
99 457 |
|
|
|
|
|
Direct
investment |
|
|
-8 389 |
|
-4 689 |
|
-10 820 |
|
|
|
|
|
Portfolio investment |
|
|
45 239 |
|
97 431 |
|
35 689 |
|
|
|
|
|
Financial derivatives |
|
|
-2 552 |
|
-2 686 |
|
2 758 |
|
|
|
|
|
Other
investment |
|
|
66 088 |
|
-67 758 |
|
71 829 |
|
|
|
|
|
Reserve assetsb |
|
|
617 |
|
18 562 |
|
3 540 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Errors and omissions |
|
|
-50 075 |
|
-50 611 |
|
5 354 |
|
|
|
|
Overall balance of payments |
|
|
617 |
|
18 562 |
|
3 540 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
a
"+" represents net increase in financial assets or net
reduction in financial liabilities, |
|
|
|
|
|
|
|
|
|
|
|
|
indicating
an outflow of funds |
|
|
|
|
|
|
|
|
|
|
|
"-" represents net reduction in financial assets or net
increase in financial liabilities, |
|
|
|
|
|
|
|
indicating an inflow of funds |
|
|
|
|
|
|
|
|
|
|
|
b
Excluding price and exchange rate changes as well as other adjustments |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|