Battle: Dar es Salaam vs Nairobi

Don YF · Jul 6, 2021

Venus Star said:
Njaa kama kawaida. Hivi Kenya ni sawa la Somalia and South Sudan
View attachment 1843372

Unapata tabu sana.., unatafuta pa kutokea eti? fukara ata uruke juu ushuke chini u post kibera, nyie fukara EAC.., kutokana na laana fulani 😂 😂 😂

Mac Bully 001 · Jul 6, 2021

Lusematic said:
yaani wewe story zako ni uchawi uchawi,,,kwani huna maneno mengine ya kuandika.

Sasa si naongea ukweli!

President of China · Jul 6, 2021

Don YF said:
Unapata tabu sana.., unatafuta pa kutokea eti? fukara ata uruke juu ushuke chini u post kibera, nyie fukara EAC.., kutokana na laana fulani 😂 😂 😂

WPF ipo kwenye wanakusanya chakula Tanzania na wanaleta msaada kwenu

Don YF · Jul 6, 2021

tuusan said:
Na wewe uache chai mko zaidi ya 50m inafikaje 2000?

who said zaidi? wacha kulazimisha tuwakaribie.., Kenya haiwezi fika 50 million since 2019 ipatikane ni 47M., ceteris paribus(all factors remaining constant)., deaths and births., nope..,

Don YF · Jul 6, 2021

Venus Star said:
WPF ipo kwenye wanakusanya chakula Tanzania na wanaleta msaada kwenu
View attachment 1843378

Did u see hunger happening ama ilikua hypothesis yao which was proven wrong? semi illitrate mwingine kajitokeza.., the guys were projecting, unfortunately haikutokea, they made money and filled their bellies., na wewe? fukara siku zote.,😂😂😂😂, umenunua mihogo na maharagwe?

President of China · Jul 6, 2021

Don YF said:
who said zaidi? wacha kulazimisha tuwakaribie.., Kenya haiwezi fika 50 million since 2019 ipatikane ni 47M., ceteris paribus(all factors remaining constant)., deaths and births., nope..,

Mzee hii vipi mpaka Google inawatambua

President of China · Jul 6, 2021

Don YF said:
Did u see hunger happening ama ilikua hypothesis yao which was proven wrong? semi illitrate mwingine kajitokeza.., the guys were projecting, unfortunately haikutokea, they made money and filled their bellies., na wewe? fukara siku zote.,😂😂😂😂, umenunua mihogo na maharagwe?

Hii vipi unaniambiaje? Google wamewaonea?

Don YF · Jul 6, 2021

Venus Star said:
Mzee hii vipi mpaka Google inawatambua

View attachment 1843382

fafanua hii taarifa kuhusu Tanzania kisha uje.., unajiona mjuaji..,

Tanzania: Acute Food Insecurity Situation Overview - Rural, Urban and IDP: Current Food Security Outcomes: November 2019 - April 2020 (Issued in February 2020)

IPC

Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original

Attachments

Download document(PDF | 2.82 MB)

Overview
Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity (IPC Phase 3 and 4). An estimated 224,700 people (5%) were classified in IPC Phase 4 (Emergency) and around 760,600 people (16%) in IPC Phase 3 (Crisis). Around 1,655,600 people (34%) were classified in IPC Phase 2 (Stress).
Food insecurity was driven primarily by a prolonged dry spell, coupled with Fall Armyworm infestations and erratic rainfall in the 2018/19 planting season, leading to decreased production in both the Masika and Msimu harvests.
The poor harvest resulted in limited food availability and a reduction of casual on-farm labour opportunities related to post-harvest activities. During this period, unusually high commodity prices were recorded in all districts analysed. Some of the households continued to deplete their assets with the majority of households applying consumption-based coping to moderate large food consumption gaps. Limited casual labour opportunities and unusually high commodity prices were observed in most of the districts analysed, playing a major role in driving food insecurity.
Between May and September 2020, nearly half a million people (10% of the population analysed) will likely be in a Crisis situation (Phase 3) and 7,600 (0.2%) people will likely be in an Emergency situation (Phase 4). Around 1,845,800 (38%) people are projected to be in a Stressed situation (Phase 2). The improvement in the level of food security during the projection period is attributed to the anticipated positive impact of for the Vuli and Msimu rains, which are expected to be normal.
The forecast rainfall is expected to have positive impacts on food production; which will positively contribute to food availability and access as a majority of households depend on farming and agro-pastoralism. Therefore, eventually their food stock is expected to increase during the projection period. Food access will also improve as a result of low prices of food commodities due to increased food supply from the harvest.

Geza Ulole · Jul 6, 2021

President of China · Jul 6, 2021

Don YF said:
fafanua hii taarifa kuhusu Tanzania kisha uje.., unajiona mjuaji..,

Tanzania: Acute Food Insecurity Situation Overview - Rural, Urban and IDP: Current Food Security Outcomes: November 2019 - April 2020 (Issued in February 2020)

IPC

Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original

Attachments

Download document(PDF | 2.82 MB)

Overview
Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity (IPC Phase 3 and 4). An estimated 224,700 people (5%) were classified in IPC Phase 4 (Emergency) and around 760,600 people (16%) in IPC Phase 3 (Crisis). Around 1,655,600 people (34%) were classified in IPC Phase 2 (Stress).
Food insecurity was driven primarily by a prolonged dry spell, coupled with Fall Armyworm infestations and erratic rainfall in the 2018/19 planting season, leading to decreased production in both the Masika and Msimu harvests.
The poor harvest resulted in limited food availability and a reduction of casual on-farm labour opportunities related to post-harvest activities. During this period, unusually high commodity prices were recorded in all districts analysed. Some of the households continued to deplete their assets with the majority of households applying consumption-based coping to moderate large food consumption gaps. Limited casual labour opportunities and unusually high commodity prices were observed in most of the districts analysed, playing a major role in driving food insecurity.
Between May and September 2020, nearly half a million people (10% of the population analysed) will likely be in a Crisis situation (Phase 3) and 7,600 (0.2%) people will likely be in an Emergency situation (Phase 4). Around 1,845,800 (38%) people are projected to be in a Stressed situation (Phase 2). The improvement in the level of food security during the projection period is attributed to the anticipated positive impact of for the Vuli and Msimu rains, which are expected to be normal.
The forecast rainfall is expected to have positive impacts on food production; which will positively contribute to food availability and access as a majority of households depend on farming and agro-pastoralism. Therefore, eventually their food stock is expected to increase during the projection period. Food access will also improve as a result of low prices of food commodities due to increased food supply from the harvest.

Neda google inamajibu ya uhakika mzee:

President of China · Jul 6, 2021

Link hii hapa:

Google Search

President of China · Jul 6, 2021

Don YF said:
fafanua hii taarifa kuhusu Tanzania kisha uje.., unajiona mjuaji..,

Tanzania: Acute Food Insecurity Situation Overview - Rural, Urban and IDP: Current Food Security Outcomes: November 2019 - April 2020 (Issued in February 2020)

IPC

Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original

Attachments

Download document(PDF | 2.82 MB)

Overview
Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity (IPC Phase 3 and 4). An estimated 224,700 people (5%) were classified in IPC Phase 4 (Emergency) and around 760,600 people (16%) in IPC Phase 3 (Crisis). Around 1,655,600 people (34%) were classified in IPC Phase 2 (Stress).
Food insecurity was driven primarily by a prolonged dry spell, coupled with Fall Armyworm infestations and erratic rainfall in the 2018/19 planting season, leading to decreased production in both the Masika and Msimu harvests.
The poor harvest resulted in limited food availability and a reduction of casual on-farm labour opportunities related to post-harvest activities. During this period, unusually high commodity prices were recorded in all districts analysed. Some of the households continued to deplete their assets with the majority of households applying consumption-based coping to moderate large food consumption gaps. Limited casual labour opportunities and unusually high commodity prices were observed in most of the districts analysed, playing a major role in driving food insecurity.
Between May and September 2020, nearly half a million people (10% of the population analysed) will likely be in a Crisis situation (Phase 3) and 7,600 (0.2%) people will likely be in an Emergency situation (Phase 4). Around 1,845,800 (38%) people are projected to be in a Stressed situation (Phase 2). The improvement in the level of food security during the projection period is attributed to the anticipated positive impact of for the Vuli and Msimu rains, which are expected to be normal.
The forecast rainfall is expected to have positive impacts on food production; which will positively contribute to food availability and access as a majority of households depend on farming and agro-pastoralism. Therefore, eventually their food stock is expected to increase during the projection period. Food access will also improve as a result of low prices of food commodities due to increased food supply from the harvest.

Information kutoka kenyaland 🤣 🤣 🤣

Don YF · Jul 6, 2021

Venus Star said:
Neda google inamajibu ya uhakika mzee:

View attachment 1843384

Unajua kizungu kweli? unajua maana ya kusema "at risk" na actual sterving? yaani elimu hafifu ulio nayo inakuumbua peupe leo! 😂 😂 😂 ., kwanza nifafanulie hii report kuhusu Tanzania.., by saying "...facing severe food insecurity.." ina maanisha watanzania hawa walikua na njaa? jibu swali from this quote: (Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity)., kama vile imesemwa hapa chini..,👇👇👇
jibu kisha tuendelee, niko free kujadiliana na wewe mradi usikojolee uzi..,

Tanzania: Acute Food Insecurity Situation Overview - Rural, Urban and IDP: Current Food Security Outcomes: November 2019 - April 2020 (Issued in February 2020)

FormatAnalysis Source

IPC

Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original

Attachments

Download document(PDF | 2.82 MB)

Overview
Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity (IPC Phase 3 and 4). An estimated 224,700 people (5%) were classified in IPC Phase 4 (Emergency) and around 760,600 people (16%) in IPC Phase 3 (Crisis). Around 1,655,600 people (34%) were classified in IPC Phase 2 (Stress).
Food insecurity was driven primarily by a prolonged dry spell, coupled with Fall Armyworm infestations and erratic rainfall in the 2018/19 planting season, leading to decreased production in both the Masika and Msimu harvests.
The poor harvest resulted in limited food availability and a reduction of casual on-farm labour opportunities related to post-harvest activities. During this period, unusually high commodity prices were recorded in all districts analysed. Some of the households continued to deplete their assets with the majority of households applying consumption-based coping to moderate large food consumption gaps. Limited casual labour opportunities and unusually high commodity prices were observed in most of the districts analysed, playing a major role in driving food insecurity.
Between May and September 2020, nearly half a million people (10% of the population analysed) will likely be in a Crisis situation (Phase 3) and 7,600 (0.2%) people will likely be in an Emergency situation (Phase 4). Around 1,845,800 (38%) people are projected to be in a Stressed situation (Phase 2). The improvement in the level of food security during the projection period is attributed to the anticipated positive impact of for the Vuli and Msimu rains, which are expected to be normal.
The forecast rainfall is expected to have positive impacts on food production; which will positively contribute to food availability and access as a majority of households depend on farming and agro-pastoralism. Therefore, eventually their food stock is expected to increase during the projection period. Food access will also improve as a result of low prices of food commodities due to increased food supply from the harvest.

Don YF · Jul 6, 2021

Venus Star said:
Information kutoka kenyaland 🤣 🤣 🤣

View attachment 1843387

so ikiwa headquartered in Kenya sio sahihi? kilaza wewe, NGOs mingi na multinationals kibao in Africa are either headquartered in Kenya or SA.., ama hauna taarifa?

Justinr · Jul 6, 2021

Don YF said:
Pesa wanaziweka wapi?.., kwa magunia? those millionaires their wealth zinge reflect in your banking sector performance, kama unaelewa economics, so that must be data uchwara serikali ya CCM ilitoa for international body kutumia to rank Tz ili kujikweza, facts speak otherwise! mko ovyo zaidi ya vile CCM ilikua inawaelezea, waulize CAG.., eti mamilionea, mbona 2021 waliporomoka kama maji kwa mtaro? huoni ni uchwara!

Angalia kipato cha nchi yenyu kwa mwaka? kisha linganisha na budget yenyu? yaani mapato ya kenya ni zaidi ya budget yenyu kwa mbali.., facts! watoa ushuru ni wengi na wako na uwezo wa kutoa, nyie fukara ni wengi serikali pia inachangia kuweka masha magumu kwa mwana biashara, na kiswahili mingi tu ndio mko nayo.

Ww sio tu mpuzi ni mjinga, i wonder even how much you know about economics, ivi katika watu ambao wanauchumi mafiii ni sisi au nyie? Hata uwezi tumia akili ya kuvukia barabara iwaje muwe na uchumi wa 98 billions in a country which operate under capitalism systeam yet you have zero billionaire? And that is not even a worse part ,in your failed state mnakufa na njaa kila leo[emoji23][emoji23][emoji23][emoji23][emoji23][emoji23][emoji1787][emoji1787][emoji1787] The way i see it either your economy is cooked or its external bases

President of China · Jul 6, 2021

Don YF said:
Unajua kizungu kweli? unajua maana ya kusema "at risk" na actual sterving? yaani elimu hafifu ulio nayo inakuumbua peupe leo! 😂 😂 😂 ., kwanza nifafanulie hii report kuhusu Tanzania.., by saying "...facing severe food insecurity.." ina maanisha watanzania hawa walikua na njaa? jibu swali from this quote: (Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity)., kama vile imesemwa hapa chini..,👇👇👇
jibu kisha tuendelee, niko free kujadiliana na wewe mradi usikojolee uzi..,

Tanzania: Acute Food Insecurity Situation Overview - Rural, Urban and IDP: Current Food Security Outcomes: November 2019 - April 2020 (Issued in February 2020)
FormatAnalysis Source

IPC

Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original

Attachments

Download document(PDF | 2.82 MB)

Overview
Between November 2019 and April 2020, nearly one million people, 20% out of a population of 4.8 million in 16 analysed districts of Tanzania, were estimated to be experiencing severe food insecurity (IPC Phase 3 and 4). An estimated 224,700 people (5%) were classified in IPC Phase 4 (Emergency) and around 760,600 people (16%) in IPC Phase 3 (Crisis). Around 1,655,600 people (34%) were classified in IPC Phase 2 (Stress).
Food insecurity was driven primarily by a prolonged dry spell, coupled with Fall Armyworm infestations and erratic rainfall in the 2018/19 planting season, leading to decreased production in both the Masika and Msimu harvests.
The poor harvest resulted in limited food availability and a reduction of casual on-farm labour opportunities related to post-harvest activities. During this period, unusually high commodity prices were recorded in all districts analysed. Some of the households continued to deplete their assets with the majority of households applying consumption-based coping to moderate large food consumption gaps. Limited casual labour opportunities and unusually high commodity prices were observed in most of the districts analysed, playing a major role in driving food insecurity.
Between May and September 2020, nearly half a million people (10% of the population analysed) will likely be in a Crisis situation (Phase 3) and 7,600 (0.2%) people will likely be in an Emergency situation (Phase 4). Around 1,845,800 (38%) people are projected to be in a Stressed situation (Phase 2). The improvement in the level of food security during the projection period is attributed to the anticipated positive impact of for the Vuli and Msimu rains, which are expected to be normal.
The forecast rainfall is expected to have positive impacts on food production; which will positively contribute to food availability and access as a majority of households depend on farming and agro-pastoralism. Therefore, eventually their food stock is expected to increase during the projection period. Food access will also improve as a result of low prices of food commodities due to increased food supply from the harvest.

Mzee unatuletea cooked data kutoka Nairobi

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reliefweb.int	MX	21599	10	aspmx2.googlemail.com
reliefweb.int	MX	21599	10	aspmx3.googlemail.com
reliefweb.int	MX	21599	5	alt1.aspmx.l.google.com
reliefweb.int	MX	21599	5	alt2.aspmx.l.google.com
www.reliefweb.int	A	59		67.202.49.115
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www.reliefweb.int	A	59		34.195.93.111
www.reliefweb.int	CNAME	1799		reliefweb.int
www.reliefweb.int	MX	21599	1	aspmx.l.google.com
www.reliefweb.int	MX	21599	10	aspmx2.googlemail.com
www.reliefweb.int	MX	21599	10	aspmx3.googlemail.com
www.reliefweb.int	MX	21599	5	alt1.aspmx.l.google.com
www.reliefweb.int	MX	21599	5	alt2.aspmx.l.google.com

President of China · Jul 6, 2021

Don YF said:
so ikiwa headquartered in Kenya sio sahihi? kilaza wewe, NGOs mingi na multinationals kibao in Africa are either headquartered in Kenya or SA.., ama hauna taarifa?

Unatuletea taarifa za bwana zenu. Taarifa zaidi hi hapa. Au unataka nichimbe mpaka mmiliki wake?

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reliefweb.int	NS	21599		ns-1038.awsdns-01.org
reliefweb.int	NS	21599		ns-1761.awsdns-28.co.uk
reliefweb.int	NS	21599		ns-51.awsdns-06.com
reliefweb.int	NS	21599		ns-719.awsdns-25.net
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reliefweb.int	MX	21599	10	aspmx2.googlemail.com
reliefweb.int	MX	21599	10	aspmx3.googlemail.com
reliefweb.int	MX	21599	5	alt1.aspmx.l.google.com
reliefweb.int	MX	21599	5	alt2.aspmx.l.google.com
www.reliefweb.int	A	59		67.202.49.115
www.reliefweb.int	A	59		107.21.103.10
www.reliefweb.int	A	59		34.195.93.111
www.reliefweb.int	CNAME	1799		reliefweb.int
www.reliefweb.int	MX	21599	1	aspmx.l.google.com
www.reliefweb.int	MX	21599	10	aspmx2.googlemail.com
www.reliefweb.int	MX	21599	10	aspmx3.googlemail.com
www.reliefweb.int	MX	21599	5	alt1.aspmx.l.google.com
www.reliefweb.int	MX	21599	5	alt2.aspmx.l.google.com

Justinr · Jul 6, 2021

Don YF said:
View attachment 1843308
Ignorance on display.., yaani wewe ni kilaza [emoji23] [emoji23] [emoji23] [emoji23] Kenya imekutesa kiwangi hii!!! income par capita is bigger if u have smaller population in relation to GDP, ndio maana kwa GDP top 10 dunia utapata USA, akina Brazil, China., India etc.., but par capita hawaonekani.., sasa nyie GDP mko chini, par capita ndio ata sisemi kitu.., jifunze economics, sio lazima uende shule tumia youtube lectures uwache kukurupuka kiuchwara chwara!

top 50 China kwa par capita hawapatikani na ndio wa pili dunia by GDP!.., population factor!
GDP (PPP) per capita Ranking
��

2020 Rank 2021 Rank % world diff 2021 2021 Rank
Country/Economy GDP (PPP) per capita (Int. $) Growth (%) GDP (PPP) (Int. $) Continent
Luxembourg 118,002 1 122,740 1 668 - 5.86 78.31 99 Europe
Singapore 97,057 2 102,742 2 559 19,998 4.98 600.1 38 Asia
Ireland 94,392 3 99,239 3 540 3,503 4.94 500.3 44 Europe
Qatar 93,508 4 97,262 4 529 1,976 2.52 273.0 60 Asia
Macao SAR 56,078 14 90,606 5 493 6,656 23.86 61.62 108 Asia
Switzerland 72,874 5 75,880 6 413 14,726 3.58 660.9 35 Europe
Norway 65,800 6 69,171 7 376 6,709 3.56 375.0 51 Europe
United States 63,416 7 68,309 8 372 862 3.08 22,675 2 North America
Brunei Darussalam 62,371 8 64,405 9 350 3,904 3.25 29.73 137 Asia
Hong Kong SAR 59,520 9 62,839 10 342 1,566 3.67 472.4 46 Asia
San Marino 58,427 12 61,508 11 335 1,331 5.67 2.086 178 Europe
Denmark 58,933 10 61,478 12 335 29.7 3.50 359.0 53 Europe
Netherlands 57,534 13 60,461 13 329 1,018 4.05 1,056 27 Europe
United Arab Emirates 58,753 11 59,844 14 326 617 1.35 683.2 34 Asia
Taiwan Province of China 55,724 16 59,398 15 323 446 3.22 1,404 19 Asia
Iceland 55,966 15 58,151 16 316 1,246 4.11 21.52 148 Europe
Austria 55,218 17 57,891 17 315 261 4.65 517.9 42 Europe
Germany 54,076 19 56,956 18 310 935 4.18 4,744 5 Europe
Sweden 54,146 18 55,566 19 302 1,389 3.47 589.8 39 Europe
Australia 51,680 20 54,891 20 299 675 2.95 1,416 18 Oceania
Belgium 51,096 21 53,973 21 294 919 5.35 623.7 37 Europe
Finland 49,853 22 51,867 22 282 2,106 3.57 286.9 59 Europe
Canada 48,720 24 51,713 23 281 154 5.18 1,979 15 North America
Bahrain 48,766 23 50,284 24 274 1,429 2.25 77.62 101 Asia
France 46,062 26 49,492 25 269 792 6.03 3,232 9 Europe
Saudi Arabia 46,811 25 48,099 26 262 1,394 3.10 1,706 17 Asia
United Kingdom 44,117 28 47,089 27 256 1,009 5.92 3,175 10 Europe
Korea 44,621 27 47,027 28 256 62.6 2.87 2,437 14 Asia
Malta 42,856 29 45,042 29 245 1,985 4.80 23.50 145 Europe
Japan 42,248 30 44,585 30 243 456 2.32 5,586 4 Asia
New Zealand 42,018 31 44,226 31 241 359 4.36 226.6 64 Oceania
Italy 40,861 33 43,376 32 236 850 5.24 2,611 13 Europe
Czech Republic 40,618 34 42,956 33 234 420 5.12 460.9 47 Europe
Israel 40,547 35 42,570 34 232 386 4.87 399.5 50 Asia
Cyprus 40,107 36 41,595 35 226 975 4.74 37.27 125 Europe
Spain 38,392 39 41,546 36 226 49.6 7.15 1,959 16 Europe
Kuwait 41,627 32 41,507 37 226 39.0 0.65 208.3 67 Asia
Slovenia 38,807 38 40,820 38 222 687 5.20 85.89 96 Europe
Lithuania 38,824 37 40,784 39 222 35.9 4.06 114.0 86 Europe
Estonia 37,745 40 39,729 40 216 1,055 4.50 52.81 112 Europe
Portugal 34,043 42 36,079 41 196 3,650 6.50 370.5 52 Europe
Poland 34,103 41 35,957 42 196 122 4.60 1,364 20 Europe
Puerto Rico 34,025 43 35,943 43 196 14.2 1.50 112.3 87 North America
Hungary 33,030 45 35,088 44 191 854 3.90 342.7 54 Europe
Slovak Republic 32,710 46 34,815 45 189 273 6.90 190.3 70 Europe
The Bahamas 33,148 44 34,046 46 185 769 4.59 13.25 155 North America
Latvia 31,509 47 33,394 47 182 652 5.20 63.54 105 Europe
Romania 30,526 48 32,950 48 179 444 4.57 636.5 36 Europe
Turkey 30,253 49 32,278 49 176 672 5.00 2,750 11 Europe
Aruba 29,090 51 30,972 50 169 1,306 9.00 3.499 173 North America
World 17,220 18,378 6.03 141,962

Wacha blabla mingi GDP haikuwai kuwa kipimo bora cha uchumi....ndio mana mpka leo mnakufa njaaa na uko hapa kupiga kelel kama kizuu

Don YF · Jul 6, 2021

Venus Star said:
Mzee unatuletea cooked data kutoka Nairobi

View attachment 1843391

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www.reliefweb.int MX 21599 5 alt1.aspmx.l.google.com
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Kukwepa ndio zenu., sasa because an organization is headquartered in Nairobi sio authentic? Kama vile wengine humu siku flani walipo ona some of the researchers wa Knight Frank ni wakenya wakaanza kusema data zao ni fake.., 😂 😂 😂 weka semi illitracy kando, wacha kujitia hamnazo., jibu swali ama ufyate..,

Mac Bully 001 · Jul 6, 2021

Teargas said:
Kuna wachawi wanatamani hii barabara ianguke😂😂

View attachment 1842713

😂 😂 😂

2020	Rank	2021	Rank	% world	diff	2021	2021	Rank
Country/Economy	GDP (PPP) per capita (Int. $)	Growth (%)	GDP (PPP) (Int. $)	Continent
Luxembourg	118,002	1	122,740	1	668	-	5.86	78.31	99	Europe
Singapore	97,057	2	102,742	2	559	19,998	4.98	600.1	38	Asia
Ireland	94,392	3	99,239	3	540	3,503	4.94	500.3	44	Europe
Qatar	93,508	4	97,262	4	529	1,976	2.52	273.0	60	Asia
Macao SAR	56,078	14	90,606	5	493	6,656	23.86	61.62	108	Asia
Switzerland	72,874	5	75,880	6	413	14,726	3.58	660.9	35	Europe
Norway	65,800	6	69,171	7	376	6,709	3.56	375.0	51	Europe
United States	63,416	7	68,309	8	372	862	3.08	22,675	2	North America
Brunei Darussalam	62,371	8	64,405	9	350	3,904	3.25	29.73	137	Asia
Hong Kong SAR	59,520	9	62,839	10	342	1,566	3.67	472.4	46	Asia
San Marino	58,427	12	61,508	11	335	1,331	5.67	2.086	178	Europe
Denmark	58,933	10	61,478	12	335	29.7	3.50	359.0	53	Europe
Netherlands	57,534	13	60,461	13	329	1,018	4.05	1,056	27	Europe
United Arab Emirates	58,753	11	59,844	14	326	617	1.35	683.2	34	Asia
Taiwan Province of China	55,724	16	59,398	15	323	446	3.22	1,404	19	Asia
Iceland	55,966	15	58,151	16	316	1,246	4.11	21.52	148	Europe
Austria	55,218	17	57,891	17	315	261	4.65	517.9	42	Europe
Germany	54,076	19	56,956	18	310	935	4.18	4,744	5	Europe
Sweden	54,146	18	55,566	19	302	1,389	3.47	589.8	39	Europe
Australia	51,680	20	54,891	20	299	675	2.95	1,416	18	Oceania
Belgium	51,096	21	53,973	21	294	919	5.35	623.7	37	Europe
Finland	49,853	22	51,867	22	282	2,106	3.57	286.9	59	Europe
Canada	48,720	24	51,713	23	281	154	5.18	1,979	15	North America
Bahrain	48,766	23	50,284	24	274	1,429	2.25	77.62	101	Asia
France	46,062	26	49,492	25	269	792	6.03	3,232	9	Europe
Saudi Arabia	46,811	25	48,099	26	262	1,394	3.10	1,706	17	Asia
United Kingdom	44,117	28	47,089	27	256	1,009	5.92	3,175	10	Europe
Korea	44,621	27	47,027	28	256	62.6	2.87	2,437	14	Asia
Malta	42,856	29	45,042	29	245	1,985	4.80	23.50	145	Europe
Japan	42,248	30	44,585	30	243	456	2.32	5,586	4	Asia
New Zealand	42,018	31	44,226	31	241	359	4.36	226.6	64	Oceania
Italy	40,861	33	43,376	32	236	850	5.24	2,611	13	Europe
Czech Republic	40,618	34	42,956	33	234	420	5.12	460.9	47	Europe
Israel	40,547	35	42,570	34	232	386	4.87	399.5	50	Asia
Cyprus	40,107	36	41,595	35	226	975	4.74	37.27	125	Europe
Spain	38,392	39	41,546	36	226	49.6	7.15	1,959	16	Europe
Kuwait	41,627	32	41,507	37	226	39.0	0.65	208.3	67	Asia
Slovenia	38,807	38	40,820	38	222	687	5.20	85.89	96	Europe
Lithuania	38,824	37	40,784	39	222	35.9	4.06	114.0	86	Europe
Estonia	37,745	40	39,729	40	216	1,055	4.50	52.81	112	Europe
Portugal	34,043	42	36,079	41	196	3,650	6.50	370.5	52	Europe
Poland	34,103	41	35,957	42	196	122	4.60	1,364	20	Europe
Puerto Rico	34,025	43	35,943	43	196	14.2	1.50	112.3	87	North America
Hungary	33,030	45	35,088	44	191	854	3.90	342.7	54	Europe
Slovak Republic	32,710	46	34,815	45	189	273	6.90	190.3	70	Europe
The Bahamas	33,148	44	34,046	46	185	769	4.59	13.25	155	North America
Latvia	31,509	47	33,394	47	182	652	5.20	63.54	105	Europe
Romania	30,526	48	32,950	48	179	444	4.57	636.5	36	Europe
Turkey	30,253	49	32,278	49	176	672	5.00	2,750	11	Europe
Aruba	29,090	51	30,972	50	169	1,306	9.00	3.499	173	North America
World	17,220		18,378				6.03	141,962

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