Don YF
JF-Expert Member
- May 24, 2014
- 11,111
- 10,547
Unapata tabu sana.., unatafuta pa kutokea eti? fukara ata uruke juu ushuke chini u post kibera, nyie fukara EAC.., kutokana na laana fulani 😂 😂 😂
Battle: Dar es Salaam vs Nairobi
Battle: Dar es Salaam vs Nairobi
Mac Bully 001
JF-Expert Member
- Jun 26, 2012
- 6,539
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Sasa si naongea ukweli!
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
Don YF
JF-Expert Member
- May 24, 2014
- 11,111
- 10,547
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
JF-Expert Member
- May 24, 2014
- 11,111
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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
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
Don YF
JF-Expert Member
- May 24, 2014
- 11,111
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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)
Posted18 Feb 2020 Originally published18 Feb 2020 OriginView originalAttachments
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
Platinum Member
- Oct 31, 2009
- 72,889
- 103,757
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
Neda google inamajibu ya uhakika mzee: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)
Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original
Attachments
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.
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
Information kutoka kenyaland 🤣 🤣 🤣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)
Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original
Attachments
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
JF-Expert Member
- May 24, 2014
- 11,111
- 10,547
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 SourcePosted18 Feb 2020 Originally published18 Feb 2020 OriginView original
Attachments
OverviewBetween 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
JF-Expert Member
- May 24, 2014
- 11,111
- 10,547
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
JF-Expert Member
- May 22, 2020
- 3,709
- 6,832
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
The way i see it either your economy is cooked or its external bases
President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
Mzee unatuletea cooked data kutoka NairobiUnajua 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
Posted18 Feb 2020 Originally published18 Feb 2020 OriginView original
Attachments
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.
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| 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 | |
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President of China
JF-Expert Member
- Dec 6, 2018
- 31,767
- 89,792
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 | 5 | alt1.aspmx.l.google.com |
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| www.reliefweb.int | A | 59 | 67.202.49.115 | |
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| www.reliefweb.int | A | 59 | 34.195.93.111 | |
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| 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
JF-Expert Member
- May 22, 2020
- 3,709
- 6,832
Wacha blabla mingi GDP haikuwai kuwa kipimo bora cha uchumi....ndio mana mpka leo mnakufa njaaa na uko hapa kupiga kelel kama kizuuView attachment 1843308
Ignorance on display.., yaani wewe ni kilaza
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
Don YF
JF-Expert Member
- May 24, 2014
- 11,111
- 10,547
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
JF-Expert Member
- Jun 26, 2012
- 6,539
- 12,943
😂 😂 😂
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