Output value of Laite coin
In fact, the coins that can be g up every day are different. When L3 + first came out, it was able to dig one Wright coin every day. Now the computing power of the whole network has been greatly improved, and about 0.54 yuan can be g every day. It mainly depends on the comparison between your computing power and that of the whole network
bitcoin mining machine is a kind of computer used to earn bitcoin. This kind of computer generally has professional mining chips and works in the way of burning graphics card, which consumes a lot of power. It is one of the ways to get bitcoin that users download software from personal computer and then run specific algorithm to get corresponding bitcoin after communicating with remote server2. The popular digital currencies in 2013 are bitcoin, Leyte coin, zeta coin, pennies (Internet), invisible gold bar, red coin, pole coin, barbecue coin and prime currency. At present, hundreds of digital currencies are issued all over the world
Output value: according to the calculation formula of bitcoin output, almost every four years, the output will be halved, and finally reach the extreme value of 21 million. At this time, there will be a substantial appreciation. This kind of currency without the control of the central bank, compared with the real currency of quantitative easing, will continue to appreciate. By 2013, about 11 million bitcoins had been proced
extended data:
1. Ant mining machine is the first cryptocurrency mining machine brand in the world, with a market share of about 70%. The mining machine is developed by bitmainland and has a patent in mainland China. At the beginning, ant miner had only bitcoin miner. Later, its business expanded to other cryptocurrencies, such as Ethereum, dascoin, Leyte, Monroe, etc
Ant miner adopts ASIC chip designed by bitcontinental, which is proced by TSMC. All chips are made of BM prefix. Each miner has three to four circuit boards, and there are dozens of chips on the circuit board. Therefore, each miner can only be used to mine one or more cryptocurrencies using the same algorithm3. Ant mining machine needs special mining software, and can not use third-party software. In addition, because of its high power, the ant miner also needs to be used with a special fire ox
1 Luxemburg 69056
2 Norway 53465
3 Switzerland 49246
4 Ireland 46335
5 Denmark 45015
6 Iceland 44133
7 us 42076
8 Sweden 38451
9 UK 36977
10 Japan 36486
11 Austria 35, 861
12 Netherlands 35393
13 Finland 35242
14 Belgium 34081
15 Qatar 33586
16 France 33126
17 Germany 33099
18 Canada 32073
19 Australia 29761
20 Italy 29648
21 Singapore 25176
22 Spain 24627
23 Hong Kong 24581
24 New Zealand 23276
25 United Arab Emirates 20, 960
26 Kuwait 19288
27 Cyprus 19008
28 Greece 18995
29 Bahamas 18190
30 Slovenia 17660
31 Netherlands 17435
32 Israel 16987
33 Portugal 16658
34 South Korea 14649
35 Brunei 14366
36 Taiwan 13926
37 Bahrain 13764
38 Maltese 13, 144
39 Antigua and Barbuda 11790
40 Hungary 10896
41 Saudi Arabia 10795
42 Barbuda 10747
43 Czech 10708
44 Oman 10292
45 Trinidad and Tobago 10117
46 Seychelles 8892
47 Estonia 8885
48 Saint Kitts and Nevis 8546
49 Slovakia 7963
50 Croatia 7, 764
51 Lithuania 6796
52 Mexico 6566
53 Poland 6373
54, Equatorial Guinea, 6235
55 Latvia 6150
65 Grenada 4692
66 Turkey 4637
67 Costa Rica 4484
68 Argentina 4132
69 Belize 4120
70 Saint Lucia 4095
71 Venezuela 4014
72 South Africa 3886
73 Uruguay 3874
74 Dominica 3772
75 Saint Vincent and the Grenadines 3719
76 Bulgaria 3, 325
77 Brazil 3311
78 Romania 3277
79 Kazakstan 3185
80 Tunisia 3052
81 Jamaica 3003
82 Belarus 2992
83 Republic of Serbia and Montenegro 2820
84 Thailand 2807
85 Suriname 2785
86 Turkmenistan 2784
87 Iran 2608
88 Algeria 2, 601
89 Republic of Macedonian 2570
90 Albania 2434
91 Peru 2379
92 Maldives 2355
93 Namibia 2333
94 Tonga 2226
95 Fijian 2199
96 Ecuador 2168
97 Bosnia and Herzegovina 2167
98 Cape Verde 2161
99 Colombia 2119
100 El Salvador 2, 063
101 Swaziland 2043
102 Dominican Republic 2014
103 Jordan 1988
104 Guatemalan 1966
105 Samoa 1821
106 Ukraine 1589
107 Angola 1580
108 Morocco 1576
109 Vanuatu 1440
110 Republic of Congo 1401
111 Syria 1386
112 people's Republic of China 1, 352
113 Azerjan 1237
114 Paraguay 1170
115 Bolivia 1137
116 Egypt 1118
117 Indonesia 1093
118 Philippines 1084
119 Honras 1062
120 Sri Lanka 1052
121 Guyana 1, 035
122 Georgia 927
123 Armenian 868
124 Cameron 860
125 Ivory Coast 859
126 Bhutan 859
127 Djibouti 822
128 Nicaraguan 794
129 Kiribati 768
130 Senegal 745
131 Moldova 665
132 Papua New Guinea 660
133 India 652
134 Haiti 650
135 Sudan 643
133 136 binin 583
137 Pakistan 577
138 Chad 567
139 Comoros 554
140 Yemen 553
141 Mongolia 547
142 Lesotho 546
143 Solomon Islands 534
144 Vietnam 528
145 Nigeria 528
146 Kenya 489
147 Zambia 461
148 Mauritania 452
149 Ghana 451
150 Mali 435
151 Kinabe 424
152 Laos 421
153 Bangladesh 418
154 Kyrgyzstan 413
155 East Timor 400
156 Uzbekistan 376
157 Kini 375
158 Sao Tome and Principe 372
159 Togo 357
160 Central African Republic 356
161 Cambodia 327
162 Tanzania 323
163 Uganda 296
164 mosanbi G 294
165 Gambia 284
166 Zimbabwe 277
167 Tajikistan 275
168 Niger 273
169 Madagascar 263
170 Nepal 246
171 Sierra Leone 207
172 guinea pig 204
173 Rwanda 189
174 Malawi 174
175 Eritria 157
176 Myanmar 135
177 Democratic Republic of Congo 122
178 Ethiopia 121
179 Burundi 103
--------------------------------------------------------------------------------
List of countries by per (rank) per capita (calculated at purchasing power parity). September2004.
source: International Monetary Fund, world economic prospects database
here is a list of countries of the world sorted by their gross domestic proct (PPP) per capital, the value of all final goods and services processed within a nation in a given year, Divided by the average population for the same year. GDP dollar estimates here are derived from purchasing power parity (PPP) calculations, 894
5 Denmark 33252
6 Canada 33104
7 Iceland 32843
8 Austria 32059
9 Switzerland 30366
10 Belgium 30007
11 Australia 29814
12 Netherlands 29663
13 Sweden 29544
14 Hong Kong 29239
15 Germany 29204
16 Japan 29165
17 Finland 29095
18 UK 28877
19 Italy 28, 670
20 France 28145
21 Qatar 27028
22 Taiwan 25982
23 Singapore 25384
24 Spain 23911
25 Netherlands 22837
26 New Zealand 22466
27 Equatorial Guinea 22288
28 Slovenia 21587
29 Israel 21575
30 Maltese 21203
31 Greece 20387
32 Cyprus 20, 150
33 United Arab Emirates 19599
34 South Korea 19515
35 Portugal 19340
36 Bahamas 18435
37 Bahrain 17668
38 Czech 17148
39 Oman 16751
40 Hungary 16338
41 Barbuda 15932
42 Brunei 15171
43 Slovakia 14877
44 Estonia 14284
45 Kuwait 13, 673
46 Lithuania 12837
47 Uruguay 12733
48 Mauritius 12690
49 Trinidad and Tobago 12297
50 Poland 12264
51 Antigua and Barbuda 12116
52 Argentina 11982
53 Saint Kitts and Nevis 11941
54 Saudi Arabia 11888
55 Croatia 11792
56 Seychelles 11, 784
57 Latvia 11197
58 Chile 10981
59, South Africa 10585
60 Malaysia 10449
61 Botswana 10399
70 Romania 7957
71 Kazakstan 7859
72 Thailand 7851
73 Iran 7631
74 Republic of Macedonia 7438
75 Turkey 7302
76 Belarus 7202
77 Bosnia and Herzegovina 7035
78 Maldives 7008
79 Tonga 6877
80 Panama 6763
81 Colombia 6, 741
82 Algeria 6716
83 Belize 6665
84 Namibia 6625
85 Saint Vincent and the Grenadines 6585
86 Dominican Republic 6503
87 Gabon 6402
88 Turkmen 6190
89 Samoa 6119
90 Ukraine 6045
91 Dominica 5931
92 Fijian 5927
93 Suriname 5, 871
94 people's Republic of China 5791
95 Lebanon 5752
96 Cape Verde 5690
97 Peru 5385
98 Saint Lucia 5206
99 Swaziland 5161
100 Republic of Serbia and Montenegro 5156
101 Venezuela 4725
102 Philippines 4652
103 Guyana 4625
104 Albania 4582
105 jordan 4, 461
106 El Salvador 4457
107 Azerjan 4321
108 Paraguay 4223
109 Sri Lanka 4107
110 Jamaica 4087
111 Morocco 4080
112 Egypt 4049
113 Guatemalan 4048
114 Ecuador 3979
115 Syria 3711
116 Indonesia 3661
117 Bhutan 3289
118 Armenian 3, 075
119 Vanuatu 3053
120 India 3019
121 Bolivia 2926
122 Georgia 2702
123 Vietnam 2685
124 Honras 2637
125 Angola 2608
126 Niagara 2582
127 Kiribati 2516
128 Ghana 2428
129 Pakistan 2372
130 Zimbabwe 2304
131 Sudan 2, 221
132 Papua New Guinea 2211
133 Moldova 2163
134 Lesotho 2149
135 Mauritania 2042
136 Gini 2024
137 Laos 1972
138 Mongolia 1948
139 Bangladesh 1939
140 Gambia 1919
141 Kyrgyz Republic 1905
142 Cameron 1889
143 Chad 1, 860
144 Senegal 1825
145 Djibouti 1817
146 Cambodia 1775
147 Solomon Islands 1759
148 Uzbekistan 1734
149 Comoros 1704
150 Haiti 1647
151 Sao Tome and Principe 1534
152 Uganda 1509
153 Myanmar 1466
154 Ivory Coast 1459
155 Togo 1, 433
156 Nepal 1380
157 Mozambique 1365
158 Rwanda 1274
159 Central African Republic 1255
160 Burkinabe 1241
161 binin 1170
162 Congo 1135
163 Kenya 1084
164 Tajikistan 1068
165 Eritrean 1, 056
166 Nigeria 959
167 Mali 936
168 Zambia 894
169 Niger 857
170 Madagascar 847
World Bank, January 2006
Project Name: 2006 World GDP ranking (top 10)
Project Description: unit: million US dollars, calculated according to nominal exchange rate
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -, 367
3 Germany 2812558
4 China 2587999
5 Britain 2292149
6 France 2108307
7 Italy 1728474
8 Spain 1069499
9 Canada 1057291
10 India 778521
in 1970, Japan's GDP was US $206.8 billion, US $1027.9 billion in 1980, US $302.2 billion in 1990 and US $4766.1 billion in 2000; In 2005, it was $4663.8 billion. At first glance, I can't help but wonder that Japan's GDP actually increased 23 times in the 30 years from 1970 to 2000, with an annual growth rate of almost 80%; From 2001 to 2005, although Japan caught the fast train of China's economy, with an annual economic growth of 2%, the absolute value of Japan's GDP in US dollars actually decreased by US $100 billion
it is expected that China will surpass Germany and rank third in the world by next year at the latest
when can China surpass Japan in ranking second in the world
if China's economic growth rate is 8% per year by 2015, RMB will appreciate by 4% per year against the US dollar. How will China's GDP evolve at this time<
annual RMB GDP (trillion) US dollar GDP (trillion) world ranking
2007 226160 30154 3
2008 244252 33923 3
2009 263792 38230 3
2010 284895 43035 3
2011 307686 48370 3
2012 332300 54475 2
2013 359884 61413 2
2014 388674 69036 2
2015 419767 77735 2
by 2015, China's GDP, calculated in US dollars, will surpass Japan and become the second largest in the world by 2012 at the latest. By 2015, it could be as high as nearly $800 billion. If measured by the parity coefficient at that time, it is expected to reach US $10 trillion, close to the total economic volume of the United States According to the world bank, the RMB dollar parity rate is 2:1)
however, if the absolute value is divided by the population, even if the GDP reaches 10 trillion US dollars, the per capita is only about 7000 US dollars. There is still a long way to go. It is estimated that the per capita ranking in the world is still more than 50! It is far worse than most European countries, Northeast Asian countries, oil procing countries in the Middle East and richer countries in Latin America<
per capita ranking:
Luxembourg, which has been ranked first in per capita GDP for many years, was finally overtaken by Lichtenstein in 2006. With an amazing value of US $82094 per capita, Lichtenstein leaped to the top of per capita GDP in the world
China's per capita GDP rose to US $2039, ranking 69th among the world's 80 major economies. GDP growth rate was 10.7%, ranking fifth
in 2006, Azerjan had the highest GDP growth rate, ranking first in the world with an amazing growth rate of 32.5%<
appendix:
ranking economy growth rate GDP area population per capita GDP 5.1% - 46722.04 billion US dollars area 148.94 million km2 population 6527.41 million US dollars per capita 7158 US dollars
01 Lichtenstein 11.0% - 2.761 billion US dollars area 0.016 million km2 population 33987 people per capita 82094 US dollars
02 --- Luxembourg --- 5.7% --- US $38613 million --- area --- 2600 km2 --- population --- 474400 --- per capita - US $81393
03 --- Norway --- 3.0% --- US $304542 million --- area --- 323800 km2 --- population --- 4.61 million --- per capita - US $66061
04 --- UAE --- 10.2% --- US $142865 million --- area --- 82900 km2 --- population --- 2.6 million --- per capita - US $54948
05 --- ice Island: 3.7% --- US $16.408 billion area: 103000 km2 population: 299400 per capita: US $54803
06 --- Ireland: 5.2% --- US $211210 million area: 70300 km2 population: 4060000 per capita: US $52022
07 --- Switzerland: 2.9% --- US $378231 million area: 412900 km2 population: 7.52 million per capita: US $50297
08 --- Denmark: 3.0% --- US $2674.32 100 million US dollars - area - 43100 km2 - population - 5.45 million US dollars - 49070 per capita
09 - USA - 3.4% - 13224.762 million US dollars - area - 9.8266 million km2 - population - 300.71 million US dollars - 43978 per capita
10 - Qatar - 7.1% - 36.779 billion US dollars - area - 11400 km2 - population - 885400 US dollars - 41539 per capita
11 - Sweden - 4.2% - 373.880 billion US dollars - area - 4.50 billion US dollars 000 km2 - population - 9.07 million - US $41222 per capita
12 - Finland - 4.9% - $205.66 billion - area - 338100 km2 - population - 5.23 million - US $39323 per capita
13 - Netherlands - 2.9% - $648.178 billion - area - 41500 km2 - population - 16.49 million - US $39307 per capita
14 - Austria - 3.3% - $315.466 billion - area - 83870 km2 - population - 819 million 15 --- Japan --- 2.8% --- 4912.853 billion US dollars --- area --- 377800 km2 --- population --- 127.62 million US dollars --- 38496 US dollars per capita
16 --- Britain --- 2.7% --- 2289.667 billion US dollars --- area --- 244800 km2 --- population --- 60.6 million US dollars --- 37783 US dollars per capita
17 --- San Marino --- 4.6% --- 1096 million US dollars --- area --- 006.12 million km2 --- population --- 29251 people --- 37476 US dollars per capita
18 --- Belgium --- 2.5% --- US $380.987 billion --- area --- 305.33 million km2 --- population --- 10.38 million --- per capita - US $36704
19 --- Australia --- 2.8% --- US $728.538 billion --- area --- 7.6869 million km2 --- population --- 20.26 million --- per capita - US $35959
20 --- France --- 2.0% --- US $216.9253 billion --- area --- 547 million km2 --- population --- 60.88 million --- per capita - US $35632
21 --- Canada-- -2.8% -- US $1164144 million -- area -- 9.9847 million km2 -- population -- 33.1 million -- US $35171 per capita
22 -- Germany -- 2.2% -- US $2853.155 billion -- area -- 35.7 million km2 -- population -- 82.45 million -- US $34605 per capita
23 -- Kuwait -- 8.0% -- US $80.566 billion -- area -- 17800 km2 -- population -- US $2.42 million -- US $33292 per capita
24 -- Italy -- 1.6% -- US $1793.786 billion US dollars - area - 301200 km2 - population - 58130000 - per capita - 30858 US dollars
25 --- Spain - 3.6% --- 116712100 US dollars - area - 504800 km2 - population - 40400000 - per capita - 28889 US dollars
00 --- EU - 2.8% --- 13888878 US dollars - area - 4324800 km2 - population - 486640000 US dollars - per capita - 28524 US dollars
26 --- Singapore - 7.4% --- 125416 million US dollars - area - 69 10000 km2 - population - 4.49 million - US $27932 per capita
27 - Hong Kong, China - 5.9% - $188187 million - area - 11000 km2 - population - 6.94 million - US $27116 per capita
28 - New Zealand - 1.9% - $110.582 billion - area - 268700 km2 - population - 4.08 million - US $27103 per capita
29 - Brunei - 4.4% - $9.531 billion - area - 5770000 km2 - population - 37.94 000 - US $25121 per capita
30 - ceplus - 3.7% - - US $17312 billion - area - 9300 km2 - population - 784300 - US $22074 per capita
31 - Greece - 4.1% - - US $234.840 billion - area - 131900 km2 - population - 10.69 million - US $21968 per capita
32 - Israel - 4.5% - - US $136.584 billion - area - 20800 km2 - population - 6.35 million - US $21368 per capita Yuan
33 --- Bahrain --- 7.6% --- US $14.542 billion --- area --- 06.65 million km2 --- population --- 69.86 million --- US $20816 per capita
34 --- Macao, China --- 6.7% --- US $8.758 billion --- area --- 002.54 million km2 --- population --- 454300 --- US $19278 per capita
35 --- Slovenia --- 4.4% --- US $35.527 billion --- area --- 203 thousand Km2 --- population --- 2.01 million --- US $17675 per capita
36 --- grape Teeth --- 1.4% --- US $186190 million --- area --- 92400 km2 --- population --- 10610000 --- per capita - US $17549
37 --- South Korea --- 4.8% --- US $825370 million --- area --- 98500 km2 --- population --- 48.85 million --- per capita - US $16896
38 --- Taiwan, China --- 4.4% --- US $361.410 billion --- area --- 3598000 km2 --- population --- 23.04 million --- per capita - US $15686
39 --- Czech Republic --- 6.2% --- 1320.17 100 million US dollars - area - 78900 km2 - population - 10.24 million US dollars - per capita - 12892 US dollars
40 Saudi Arabia - 5.9% - - 328232 million US dollars - area - 1960600 km2 - population - 27.02 million US dollars - per capita - 12148 US dollars
41 Hungary - 3.8% - - 113.344 billion US dollars - area - 93000 km2 - population - 9.98 million US dollars - per capita - 11357 US dollars
42 Oman - 6.6% - - 32.762 billion US dollars - area - 2 1240 km2 - population - 3.1 million - US $10568 per capita
43 - Slovakia - 6.4% -- US $50469 million - area - 48800 km2 - population - 5.44 million - US $9277 per capita
44 - Croatia - 4.4% -- US $40204 million - area - 56500 km2 - population - 4.49 million - US $8954 per capita
45 - Mexico - 4.5% -- US $8303 million - area - 1.9726 million km2 - population-- 107.45 million -- per capita -- US $7727
46 -- Chile -- 4.2% -- US $120.157 billion -- area -- 757000 km2 -- population -- 16.13 million -- per capita -- US $7449
47 -- Libya -- 8.1% -- US $41.876 billion -- area -- 1.7595 million km2 -- population -- 5.9 million -- per capita -- US $7098
48 -- Poland -- 5.3% -- US $319.300 billion -- area -- 312700 km2 -- population -- 38.54 million -- per capita -- 6887 USD
49 --- Russia --- 6.6% --- 975.336 billion USD --- area - 17.0752 million km2 --- population - 142.89 million USD --- per capita --- 6826 USD
50 --- Malaysia --- 5.5% --- 138.031 billion USD --- area --- 329800 km2 --- population --- 23.39 million USD --- per capita --- 5901 USD
51 --- South Africa --- 4.5% --- 250.193 billion USD --- area - 1.22 million km2 --- population --- 44.19 million USD --- per capita --- 5662 USD
52 --- Venezuela Rilla -- 8.8% -- 144.539 billion US dollars -- area -- 912100 km2 -- population -- 25.73 million US dollars -- per capita -- 5618 US dollars
53 -- Turkey -- 5.2% -- 38.309 billion US dollars -- area -- 780600 km2 -- population -- 70.41 million US dollars -- per capita -- 5416 US dollars
54 -- Argentina -- 8.5% -- 1969.81 billion US dollars -- area -- 2.7669 million km2 -- population -- 39.92 million US dollars -- per capita -- 4934 US dollars
55 -- Romania -- 6.4% -- 104 US dollars 874 million US dollars -- area -- 2375 million km2 -- population -- 22.3 million US dollars -- per capita -- 4703 US dollars
56 -- Brazil -- 2.8% -- 817.945 billion US dollars -- area -- 8.512 million km2 -- population -- 188.08 million -- per capita -- 4349 US dollars
57 -- Kazakhstan -- 8.5% -- 60.855 billion US dollars -- area -- 2.7173 million km2 -- population -- 15.23 million US dollars -- per capita -- 3996 US dollars
58 -- Bulgaria -- 6.5% -- 28.456 billion US dollars -- area Volume --- 110900 km2 --- population --- 7390000 --- per capita --- US $3851
59 Algeria - 5.6% -- US $107.739 billion --- area --- 2381700 km2 --- population --- 32.93 million --- per capita --- US $3272
60 --- Peru --- 6.5% -- US $85.455 billion --- area --- 1.2852 million km2 --- population --- 28.3 million --- per capita --- US $3020
61 --- Angola --- 14.0% -- US $36.672 billion --- area --- 1.2467 million km2-- Population --- 12.13 million --- per capita --- US $3015
62 --- Colombia --- 5.4% -- US $128.872 billion --- area --- 1.1389 million km2 --- population --- 43.59 million --- per capita --- US $2956
63 --- Iran --- 5.0% -- US $2019.66 billion --- area --- 1.648 million km2 --- population --- 68.69 million --- per capita --- US $2940
64 --- Tunisia --- 4.0% -- US $29.821 billion --- area --- 163600 km2 --- population --- 10.18 million --- people Average - $2929
65 --- Thailand - $4.8% -- 181440 million --- area --- 514000 km2 --- population --- 64.63 million --- per capita --- 2807
66 --- Ecuador - $3.6% -- 37.803 billion --- area --- 283600 km2 --- population --- 13.55 million --- per capita --- 2790
67 --- Serbia --- 5.9%-
http://www.nbfet.gov.cn/ck-yj/detail.phtml?newId=2165&big5=0
Singapore's GDP: S $193.453 billion (calculated according to the international practice of applying the average exchange rate in 2005, I have no exchange rate information at present), estimated to be about US $115 billion, and the per capita GDP is about US $26700
Taiwan's GDP is more than US $350 billion, and its per capita GDP is US $15215.
to ask whether the economic living standard of a country (or region) has improved or decreased, naturally, it is to calculate the quantity of procts and services that the country (or region) has obtained. To enable us to express the quantity of all procts and services in a single number, economists think of the price of various procts and services. Because all goods or services have prices, they can be superimposed with prices. For example, a drink costs 5 yuan, a haircut costs 10 yuan, and so on. However, the price of the same goods or services will change. For example, the market price of a 21 inch color TV may be 3000 yuan two years ago, but now it may only be 1500 yuan. If we only look at the amount of money, it will be reced by half, but from the effect of the real object, it is still a 21 inch color TV. Therefore, when we use the price of goods to calculate the quantity change, we must also consider the factor of price change, that is, the level of price change, and make corresponding adjustments. According to this principle, if we want to compare the change of a person's economic living standard this year with that of last year, a simple method is to calculate his annual income last year (assumed to be 20000 yuan), then calculate his annual income this year (such as 24000 yuan), and then calculate how much the price level this year has changed compared with that of last year (assumed to have increased by 5%). So the rest is a simple arithmetic problem: this year's 24000 yuan, excluding price factors, is equivalent to last year's 22900 yuan (24000 yuan) ÷ Then divide this figure by 20000 yuan last year, and you can know the actual living standard of this person. This year is 14.5% higher than last year
GDP can be obtained by applying the same calculation method to calculate the economic living standard of a country (or region). China's GDP has been calculated since 1985. In the specific accounting process, it is basically based on the internationally accepted accounting principles, that is, processing and calculating various types of data sources. The main data sources include three parts: the first part is statistical data, statistical data of relevant departments of the State Council, etc; The second part is the administrative data, including financial accounts data, business management data, etc; The third part is the accounting data, including bank, insurance, air transportation, railway transportation, post and telecommunication system accounting data. In recent years, statistical data in more and more fields are obtained by sampling survey method and super aggregation method to avoid middle level interference
some readers may ask: China's GDP data of the same year released in different periods are often different. Why? Because the calculation of GDP needs to go through the following three processes: the preliminary estimation process, the preliminary verification process and the final verification process. In the process of preliminary estimation, the GDP of a certain year is estimated at the beginning of the next year according to the statistical bulletin. Statistical express is timely, but the scope is not complete and the accuracy is not very strong. Preliminary estimates are generally published at the end of February of the following year. Secondly, in the second quarter of the next year, the annual report data were used to re verify the GDP data. The annual report is more comprehensive and accurate than the express report. The GDP data calculated by using this kind of data is preliminary verified. But the work is not over. In addition to a large number of statistical data, accounting also uses a large number of other data, such as financial final accounts and accounting final accounts. These data generally come late, and can only be obtained around October of the second year. Therefore, at the end of the second year, we need to make another verification based on these data, which is called final verification. The final verified number is published in China Statistical Yearbook every other year. After three times of data release, if new and more accurate data sources are found, or the basic concepts and calculation methods are changed, in order to maintain the accuracy and comparability of historical data, it is necessary to adjust the historical data. That's why the GDP figures are constantly changing
GDP statistics itself has some defects and deviations, which are mainly manifested in: the reasons for GDP growth mainly come from two aspects: one is the positive factors, that is, social progress, the development of science and technology, and the increase of input in proction factors, which promote the development of proction and make GDP growth; Second, the proction activities to eliminate the negative effects can also promote the increase of GDP. For example, non clean proction causes environmental pollution and soil erosion, and the proction activities to control environmental pollution form a new GDP. GDP does not distinguish between positive constructive activities and negative destructive activities, and ignores the scarcity of natural resources, which has endangered the level of proctivity needed for sustainable economic development. GDP also does not explicitly consider the decline of environmental quality mainly caused by pollution, and the consequent impact on human health and wealth. It even accounts for the predatory use of natural resources as an increase in proction. In order to overcome these disadvantages, some scholars advocate "green GDP" as a more comprehensive economic index to measure the level of economic development.
the figures here do not take into account that different countries live in different countries, and the results can be very different, Every year, the foreign exchange market fluctuates according to the currency of the country. This fluctuation will change the living conditions of the residents of a country ranking very high in a year, although it often has little or no impact at all. Therefore, we should use it carefully.
Rich countries often adapt to the different lives of different countries according to the speed of purchasing power parity, The purchasing power parity exchange rate basically eliminates the problem and has its shortcomings. It does not reflect the proction of commodity economy and international trade, but also needs more estimates of per capita GDP ratio. The overall figures are strictly spread according to the per capita GDP per capita ratio.
it should be noted that, It is often advocated or belittled that countries use numbers to match their own best situation, while ignoring others, which may be quite different. Effective comparison between the two places should be considered in the ranking, and other economic data will be used in the economic aspect.
including all 180 International monetary fund data in 2005, But data. In the data of US dollar.
per capita GDP of countries at the level of
1 Luxembourg 75130
2 Norway 64268
3 Iceland 53472
4 Switzerland 50524
5 Ireland 48351
6 Denmark 48000
7 Qatar 47519
8 US 42101
9 Sweden 39658
10 Netherlands 38333
11 Austria 37, 528
12 Finland 37014
13 UK 36599
14 Japan 35787
15 Belgium 35750
16 Canada 35064
17 Australia 34714
18 Germany 33922
19 France 33734
20 Italy 30450
21 UAE 28582
22 Spain 27226
23 Singapore 26, 835
24 New Zealand 26441
25 Kuwait 26020
26 Hong Kong, people's Republic of China 25444
27 Cyprus 20214
28 Greece 20082
29 Bahamas 18526
30 Israel 18266
31 Brunei 17632
32 Portugal 17439
33 Netherlands Antilles, Netherlands 17270
34 Slovenia 17, 066
35 South Korea 16422
36 Bahrain 16153
37 Republic of China (Taiwan) 15120
38 Maltese 13737
39 Saudi Arabia 13316
40 Oman 12495
41 Trinidad and Tobago 12329
42 Czech 12106
43 Barbados 11478
44 Hungary 11217
45 Saint Kitts and Nevis 10, 897
46 Antigua and Barbuda 10522
47 Estonia 9727
48 Slovakia 8647
49 Seychelles 8373
50 Croatia 8345
51 Poland 7875
52 Lithuania 7511
53 Mexico 7298
54 Latvian 7193
55 Chile 7040
56 Liberia 6699
57 Gabon 6, 538
58 Lebanon 6033
59 Equatorial Guinea 5934
60 Botswana 5829
61 Russia 5369
62 South Africa 5100
62 Turkey 5062 5062 Mauritius 5058 5058, Malaysia 5040 5040, Venezuela 5026 5026 Argentina Argentina 4802, Panama Panama 4802 Uruguay Uruguay, 656
70 Saint Lucia 4624
71 Costa Rica 4573
72 Romania 4539
73 Grenada 4512
74 Brazil 4316
75 Belize 3986
76 Saint Vincent and the Grenadines 3955
77 Dominica 3944
78 Kazakhstan 3717
79 Jamaica 3583
80 Turkmenistan 3, 516
81 Bulgaria 3459
82 Fiji 3349
83 Dominican Republic 3235
84 Serbia and Montenegro 3139
85 Algeria 3086
86 Belarus 3031
87 Tunisia 2978
88 Namibia 2870
89 Iran 2825
90 Peru 2812
91 Colombia 2, 742
92 Suriname 2637
93 Thailand 2577
94 Ecuador 2502
95 El Salvador 2453
96 Maldives 2441
97 Republic of Macedonia 2431
98 BIH 2405
99 Albania 2348
100 Swaziland 2323
101 Jordan 2219
102 Tonga 2142
103 Cape Verde 2, 087
104 Guatemalan 1995
105 Angola 1873
106 Samoa 1832
107 Republic 1751
108 Ukraine 1727
109 Morocco 1725
110 people's China 1703
111 Iraq 17001
112 Vanuatu 1530
113 Azerjan 1493
114 Georgia 1, 493
115 Syria 1418
116 Egypt 1316
117 Indonesia 1259
118 Sri Lanka 1199
119 Paraguay 1165
120 Philippines 1159
121 Honras 1145
122 Armenian 1137
123 Bhutan 1059
124 Bolivia 1058
125 Guyana 1, 034
126 Cameroon 952
127 Djibouti 885
128 Nicaraguan 867
129 C & ocirc; They are 850
130 Moldova 825
131 Sudan 783
132 Pakistan 769
133 Mongolia 736
134 Senegal 715
135 India 714
136 Nigeria 678
137 Kiribati 672
138 Papua New Guinea 666
139 Mauritania 650
140 Comoros 613
141 Vietnam 612
142 Zambia 609
143 Chad 601
144 Solomon Islands 598
145 Benin 595
146 Yemen 586
147 Kenya 574
148 Lesotho 537
149 Ghana 512
150 Haiti 503
151 Kyrgyzstan 473
152 Laos 463
153 Uzbekistan 445
148 154, Burkinabe 438
155 S & atilde; oTom é, Pr í Ncipe 430
156 Mali 421
157 Bangladesh 403
158 Zimbabwe 383
159 Timor Leste 378
160 Togo 378
161 Cambodia 375
162 Tajikistan 364
163 Guinea 355
164 Mozambique 346
165 Central African Republic 336
166 Uganda 326
167 Tanzania 324
168 Nepal 322
169 Gambia 304
170 Niger 278
171 Madagascar 263
172 Rwanda 242
173 Afghanistan 228 [1]
174 Sierra Leone 219
175 Eritrean 206
176 guinea pig 181
177 Malawi 161
178 Ethiopia 153
179 Fruit Democratic Republic 119
180 Burundi 107
181 Burma 97