Ni nani aliyekuja kutupa formula, ukiwa na mafanikio kidogo, unatakiwa uzae watoto wawili au mmoja?

[Equation x]

Ukoo wetu tumebakia wachache Sasa kama hatuto zaa sana watoto wa kiume Kuna uwezekano jina la ukoo wetu likapotea ni Rai a Kila mwanaukoo wa kiume kupambania ukoo wetu usije kupotea.......
Civilization+ family planning sio Kwa waafrika.....

Kweli mkuu, wengi tunaiga tu, na cha maana hatuoni tunachokifanya.

 

[Equation x]

Vizuri

Ongeza watoto kwa uhai wa taifa

 

[Equation x]

Angalia uwezo wako hata wanne fresh ila tambua kama hauna business za maana unashangaa unao nyumbani mpaka wanafika miaka 20 na kitu na hawana na kwenda ..enzi izo wewe nguvu hauna.

Tatizo kubwa, wengi tunaishi mijini kwa kununua mahitaji yetu ya kila siku dukani iwe chumvi, kitunguuu, mchicha n.k; ila wazee wetu walikuwa wakimiliki mashamba, mifugo na maisha yalikuwa yanaenda.
Cha kufanya kwa sasa, uwe unaishi mjini au kijijini; nunua shamba, na ikiwezekana chakula chako kitoke shamba. Tofauti na hapo, utakuwa fursa kwenye duka la mangi na utakuwa unaogopa kuwa na watoto au kuoa.​

 

[Dr am 4 real PhD]

Kweli mkuu, wengi tunaiga tu, na cha maana hatuoni tunachokifanya.

Yaan waafrica ndio Race yenye watu wachache sana hapa ulimwenguni.....

 

[Equation x]

Yaan waafrica ndio Race yenye watu wachache sana hapa ulimwenguni.....

Huyu aliyetudanganya kuwa na watoto wachache au kutokuwa na watoto, anatakiwa aulizwe alikuwa na sababu zipi?

 

[SPACE CADET]

Angalia uwezo wako hata wanne fresh ila tambua kama hauna business za maana unashangaa unao nyumbani mpaka wanafika miaka 20 na kitu na hawana na kwenda ..enzi izo wewe nguvu hauna.

Your brain is [emoji106]

 

[Dr am 4 real PhD]

Sehemu kubwa ya Tanzania ni Depopulation

 

[Dr am 4 real PhD]

African Countries by population (2023)​

Click on each country to view current estimates (live population clock), historical data, list of countries, and projected figures.
Search:

#	Country (or dependency)	Population (2020)	Yearly Change	Net Change	Density (P/Km²)	Land Area (Km²)	Migrants (net)	Fert. Rate	Med. Age	Urban Pop %	World Share
1	Nigeria	206,139,589	2.58 %	5,175,990	226	910,770	-60,000	5.4	18	52 %	2.64 %
2	Ethiopia	114,963,588	2.57 %	2,884,858	115	1,000,000	30,000	4.3	19	21 %	1.47 %
3	Egypt	102,334,404	1.94 %	1,946,331	103	995,450	-38,033	3.3	25	43 %	1.31 %
4	DR Congo	89,561,403	3.19 %	2,770,836	40	2,267,050	23,861	6.0	17	46 %	1.15 %
5	South Africa	59,308,690	1.28 %	750,420	49	1,213,090	145,405	2.4	28	67 %	0.76 %
6	Tanzania	59,734,218	2.98 %	1,728,755	67	885,800	-40,076	4.9	18	37 %	0.77 %
7	Kenya	53,771,296	2.28 %	1,197,323	94	569,140	-10,000	3.5	20	28 %	0.69 %
8	Uganda	45,741,007	3.32 %	1,471,413	229	199,810	168,694	5.0	17	26 %	0.59 %
9	Algeria	43,851,044	1.85 %	797,990	18	2,381,740	-10,000	3.1	29	73 %	0.56 %
10	Sudan	43,849,260	2.42 %	1,036,022	25	1,765,048	-50,000	4.4	20	35 %	0.56 %
11	Morocco	36,910,560	1.20 %	438,791	83	446,300	-51,419	2.4	30	64 %	0.47 %
12	Angola	32,866,272	3.27 %	1,040,977	26	1,246,700	6,413	5.6	17	67 %	0.42 %
13	Ghana	31,072,940	2.15 %	655,084	137	227,540	-10,000	3.9	22	57 %	0.40 %
14	Mozambique	31,255,435	2.93 %	889,399	40	786,380	-5,000	4.9	18	38 %	0.40 %
15	Madagascar	27,691,018	2.68 %	721,711	48	581,795	-1,500	4.1	20	39 %	0.36 %
16	Cameroon	26,545,863	2.59 %	669,483	56	472,710	-4,800	4.6	19	56 %	0.34 %
17	Côte d'Ivoire	26,378,274	2.57 %	661,730	83	318,000	-8,000	4.7	19	51 %	0.34 %
18	Niger	24,206,644	3.84 %	895,929	19	1,266,700	4,000	7.0	15	17 %	0.31 %
19	Burkina Faso	20,903,273	2.86 %	581,895	76	273,600	-25,000	5.2	18	31 %	0.27 %
20	Mali	20,250,833	3.02 %	592,802	17	1,220,190	-40,000	5.9	16	44 %	0.26 %
21	Malawi	19,129,952	2.69 %	501,205	203	94,280	-16,053	4.3	18	18 %	0.25 %
22	Zambia	18,383,955	2.93 %	522,925	25	743,390	-8,000	4.7	18	45 %	0.24 %
23	Senegal	16,743,927	2.75 %	447,563	87	192,530	-20,000	4.7	19	49 %	0.21 %
24	Chad	16,425,864	3.00 %	478,988	13	1,259,200	2,000	5.8	17	23 %	0.21 %
25	Somalia	15,893,222	2.92 %	450,317	25	627,340	-40,000	6.1	17	47 %	0.20 %
26	Zimbabwe	14,862,924	1.48 %	217,456	38	386,850	-116,858	3.6	19	38 %	0.19 %
27	Guinea	13,132,795	2.83 %	361,549	53	245,720	-4,000	4.7	18	39 %	0.17 %
28	Rwanda	12,952,218	2.58 %	325,268	525	24,670	-9,000	4.1	20	18 %	0.17 %
29	Benin	12,123,200	2.73 %	322,049	108	112,760	-2,000	4.9	19	48 %	0.16 %
30	Tunisia	11,818,619	1.06 %	123,900	76	155,360	-4,000	2.2	33	70 %	0.15 %
31	Burundi	11,890,784	3.12 %	360,204	463	25,680	2,001	5.5	17	14 %	0.15 %
32	South Sudan	11,193,725	1.19 %	131,612	18	610,952	-174,200	4.7	19	25 %	0.14 %
33	Togo	8,278,724	2.43 %	196,358	152	54,390	-2,000	4.4	19	43 %	0.11 %
34	Sierra Leone	7,976,983	2.10 %	163,768	111	72,180	-4,200	4.3	19	43 %	0.10 %
35	Libya	6,871,292	1.38 %	93,840	4	1,759,540	-1,999	2.3	29	78 %	0.09 %
36	Congo	5,518,087	2.56 %	137,579	16	341,500	-4,000	4.5	19	70 %	0.07 %
37	Liberia	5,057,681	2.44 %	120,307	53	96,320	-5,000	4.4	19	53 %	0.06 %
38	Central African Republic	4,829,767	1.78 %	84,582	8	622,980	-40,000	4.8	18	43 %	0.06 %
39	Mauritania	4,649,658	2.74 %	123,962	5	1,030,700	5,000	4.6	20	57 %	0.06 %
40	Eritrea	3,546,421	1.41 %	49,304	35	101,000	-39,858	4.1	19	63 %	0.05 %
41	Namibia	2,540,905	1.86 %	46,375	3	823,290	-4,806	3.4	22	55 %	0.03 %
42	Gambia	2,416,668	2.94 %	68,962	239	10,120	-3,087	5.3	18	59 %	0.03 %
43	Botswana	2,351,627	2.08 %	47,930	4	566,730	3,000	2.9	24	73 %	0.03 %
44	Gabon	2,225,734	2.45 %	53,155	9	257,670	3,260	4.0	23	87 %	0.03 %
45	Lesotho	2,142,249	0.80 %	16,981	71	30,360	-10,047	3.2	24	31 %	0.03 %
46	Guinea-Bissau	1,968,001	2.45 %	47,079	70	28,120	-1,399	4.5	19	45 %	0.03 %
47	Equatorial Guinea	1,402,985	3.47 %	46,999	50	28,050	16,000	4.6	22	73 %	0.02 %
48	Mauritius	1,271,768	0.17 %	2,100	626	2,030	0	1.4	37	41 %	0.02 %
49	Eswatini	1,160,164	1.05 %	12,034	67	17,200	-8,353	3.0	21	30 %	0.01 %
50	Djibouti	988,000	1.48 %	14,440	43	23,180	900	2.8	27	79 %	0.01 %
51	Réunion	895,312	0.72 %	6,385	358	2,500	-1,256	2.3	36	100 %	0.01 %
52	Comoros	869,601	2.20 %	18,715	467	1,861	-2,000	4.2	20	29 %	0.01 %
53	Western Sahara	597,339	2.55 %	14,876	2	266,000	5,582	2.4	28	87 %	0.01 %
54	Cabo Verde	555,987	1.10 %	6,052	138	4,030	-1,342	2.3	28	68 %	0.01 %
55	Mayotte	272,815	2.50 %	6,665	728	375	0	3.7	20	46 %	0.00 %
56	Sao Tome & Principe	219,159	1.91 %	4,103	228	960	-1,680	4.4	19	74 %	0.00 %
57	Seychelles	98,347	0.62 %	608	214	460	-200	2.5	34	56 %	0.00 %
58	Saint Helena	6,077	0.30 %	18	16	390		N.A.	N.A.	27 %	0.00 %

Source: Worldometer (www.Worldometers.info)
Elaboration of data by United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects: The 2019 Revision. (Medium-fertility variant).

​

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[The Icebreaker]

Matajiri wako bize sana kwenye miradi yao na pesa zao,
Masikini anawaza ngono tu coz ndio starehe yake anayoweza kuimudu.

😀😀

 

[The Icebreaker]

Matajiri wako bize sana kwenye miradi yao na pesa zao,
Masikini anawaza ngono tu coz ndio starehe yake anayoweza kuimudu.

😀😀

 

[Equation x]

Sehemu kubwa ya Tanzania ni Depopulation

Ni kweli na mapori ni mengi; hakuna wazalishaji

 

[Dr am 4 real PhD]

Matajiri wako bize sana kwenye miradi yao na pesa zao,
Masikini anawaza ngono tu coz ndio starehe yake anayoweza kuimudu.

😀😀

Sio kwel Kila mtoto na bahati yake 😊😊 chunguza Kuna asilimia kubwa ya Utajiri na Tatizo la Nguvu za kiume......Leo hii mama Ake DIAMOND 💎 PLATINUM angefanya Abortion.....Nadhan unaelewa nacho zungumzaa

 

[Equation x]

African Countries by population (2023)​

Click on each country to view current estimates (live population clock), historical data, list of countries, and projected figures.
Search:

#	Country (or dependency)	Population (2020)	Yearly Change	Net Change	Density (P/Km²)	Land Area (Km²)	Migrants (net)	Fert. Rate	Med. Age	Urban Pop %	World Share
1	Nigeria	206,139,589	2.58 %	5,175,990	226	910,770	-60,000	5.4	18	52 %	2.64 %
2	Ethiopia	114,963,588	2.57 %	2,884,858	115	1,000,000	30,000	4.3	19	21 %	1.47 %
3	Egypt	102,334,404	1.94 %	1,946,331	103	995,450	-38,033	3.3	25	43 %	1.31 %
4	DR Congo	89,561,403	3.19 %	2,770,836	40	2,267,050	23,861	6.0	17	46 %	1.15 %
5	South Africa	59,308,690	1.28 %	750,420	49	1,213,090	145,405	2.4	28	67 %	0.76 %
6	Tanzania	59,734,218	2.98 %	1,728,755	67	885,800	-40,076	4.9	18	37 %	0.77 %
7	Kenya	53,771,296	2.28 %	1,197,323	94	569,140	-10,000	3.5	20	28 %	0.69 %
8	Uganda	45,741,007	3.32 %	1,471,413	229	199,810	168,694	5.0	17	26 %	0.59 %
9	Algeria	43,851,044	1.85 %	797,990	18	2,381,740	-10,000	3.1	29	73 %	0.56 %
10	Sudan	43,849,260	2.42 %	1,036,022	25	1,765,048	-50,000	4.4	20	35 %	0.56 %
11	Morocco	36,910,560	1.20 %	438,791	83	446,300	-51,419	2.4	30	64 %	0.47 %
12	Angola	32,866,272	3.27 %	1,040,977	26	1,246,700	6,413	5.6	17	67 %	0.42 %
13	Ghana	31,072,940	2.15 %	655,084	137	227,540	-10,000	3.9	22	57 %	0.40 %
14	Mozambique	31,255,435	2.93 %	889,399	40	786,380	-5,000	4.9	18	38 %	0.40 %
15	Madagascar	27,691,018	2.68 %	721,711	48	581,795	-1,500	4.1	20	39 %	0.36 %
16	Cameroon	26,545,863	2.59 %	669,483	56	472,710	-4,800	4.6	19	56 %	0.34 %
17	Côte d'Ivoire	26,378,274	2.57 %	661,730	83	318,000	-8,000	4.7	19	51 %	0.34 %
18	Niger	24,206,644	3.84 %	895,929	19	1,266,700	4,000	7.0	15	17 %	0.31 %
19	Burkina Faso	20,903,273	2.86 %	581,895	76	273,600	-25,000	5.2	18	31 %	0.27 %
20	Mali	20,250,833	3.02 %	592,802	17	1,220,190	-40,000	5.9	16	44 %	0.26 %
21	Malawi	19,129,952	2.69 %	501,205	203	94,280	-16,053	4.3	18	18 %	0.25 %
22	Zambia	18,383,955	2.93 %	522,925	25	743,390	-8,000	4.7	18	45 %	0.24 %
23	Senegal	16,743,927	2.75 %	447,563	87	192,530	-20,000	4.7	19	49 %	0.21 %
24	Chad	16,425,864	3.00 %	478,988	13	1,259,200	2,000	5.8	17	23 %	0.21 %
25	Somalia	15,893,222	2.92 %	450,317	25	627,340	-40,000	6.1	17	47 %	0.20 %
26	Zimbabwe	14,862,924	1.48 %	217,456	38	386,850	-116,858	3.6	19	38 %	0.19 %
27	Guinea	13,132,795	2.83 %	361,549	53	245,720	-4,000	4.7	18	39 %	0.17 %
28	Rwanda	12,952,218	2.58 %	325,268	525	24,670	-9,000	4.1	20	18 %	0.17 %
29	Benin	12,123,200	2.73 %	322,049	108	112,760	-2,000	4.9	19	48 %	0.16 %
30	Tunisia	11,818,619	1.06 %	123,900	76	155,360	-4,000	2.2	33	70 %	0.15 %
31	Burundi	11,890,784	3.12 %	360,204	463	25,680	2,001	5.5	17	14 %	0.15 %
32	South Sudan	11,193,725	1.19 %	131,612	18	610,952	-174,200	4.7	19	25 %	0.14 %
33	Togo	8,278,724	2.43 %	196,358	152	54,390	-2,000	4.4	19	43 %	0.11 %
34	Sierra Leone	7,976,983	2.10 %	163,768	111	72,180	-4,200	4.3	19	43 %	0.10 %
35	Libya	6,871,292	1.38 %	93,840	4	1,759,540	-1,999	2.3	29	78 %	0.09 %
36	Congo	5,518,087	2.56 %	137,579	16	341,500	-4,000	4.5	19	70 %	0.07 %
37	Liberia	5,057,681	2.44 %	120,307	53	96,320	-5,000	4.4	19	53 %	0.06 %
38	Central African Republic	4,829,767	1.78 %	84,582	8	622,980	-40,000	4.8	18	43 %	0.06 %
39	Mauritania	4,649,658	2.74 %	123,962	5	1,030,700	5,000	4.6	20	57 %	0.06 %
40	Eritrea	3,546,421	1.41 %	49,304	35	101,000	-39,858	4.1	19	63 %	0.05 %
41	Namibia	2,540,905	1.86 %	46,375	3	823,290	-4,806	3.4	22	55 %	0.03 %
42	Gambia	2,416,668	2.94 %	68,962	239	10,120	-3,087	5.3	18	59 %	0.03 %
43	Botswana	2,351,627	2.08 %	47,930	4	566,730	3,000	2.9	24	73 %	0.03 %
44	Gabon	2,225,734	2.45 %	53,155	9	257,670	3,260	4.0	23	87 %	0.03 %
45	Lesotho	2,142,249	0.80 %	16,981	71	30,360	-10,047	3.2	24	31 %	0.03 %
46	Guinea-Bissau	1,968,001	2.45 %	47,079	70	28,120	-1,399	4.5	19	45 %	0.03 %
47	Equatorial Guinea	1,402,985	3.47 %	46,999	50	28,050	16,000	4.6	22	73 %	0.02 %
48	Mauritius	1,271,768	0.17 %	2,100	626	2,030	0	1.4	37	41 %	0.02 %
49	Eswatini	1,160,164	1.05 %	12,034	67	17,200	-8,353	3.0	21	30 %	0.01 %
50	Djibouti	988,000	1.48 %	14,440	43	23,180	900	2.8	27	79 %	0.01 %
51	Réunion	895,312	0.72 %	6,385	358	2,500	-1,256	2.3	36	100 %	0.01 %
52	Comoros	869,601	2.20 %	18,715	467	1,861	-2,000	4.2	20	29 %	0.01 %
53	Western Sahara	597,339	2.55 %	14,876	2	266,000	5,582	2.4	28	87 %	0.01 %
54	Cabo Verde	555,987	1.10 %	6,052	138	4,030	-1,342	2.3	28	68 %	0.01 %
55	Mayotte	272,815	2.50 %	6,665	728	375	0	3.7	20	46 %	0.00 %
56	Sao Tome & Principe	219,159	1.91 %	4,103	228	960	-1,680	4.4	19	74 %	0.00 %
57	Seychelles	98,347	0.62 %	608	214	460	-200	2.5	34	56 %	0.00 %
58	Saint Helena	6,077	0.30 %	18	16	390		N.A.	N.A.	27 %	0.00 %

Source: Worldometer (www.Worldometers.info)
Elaboration of data by United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects: The 2019 Revision. (Medium-fertility variant).

​

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© Copyright Worldometers.info - All rights reserved - Disclaimer & Privacy Policy

Kwa km sq, tulitakiwa tukaribie au tuwe sawa na Egypt au Nigeria kwa idadi

 

[Equation x]

Matajiri wako bize sana kwenye miradi yao na pesa zao,
Masikini anawaza ngono tu coz ndio starehe yake anayoweza kuimudu.

😀😀

Ubize wao hatuoni wakichimba mafuta/gas; au ubize wao uko wapi?

 

[Dr am 4 real PhD]

Ni kweli na mapori ni mengi; hakuna wazalishaji

Nguvukazi haitumiki....Kila mtu machinga au dalali dar es salaam....

 

[Equation x]

Sio kwel Kila mtoto na bahati yake 😊😊 chunguza Kuna asilimia kubwa ya Utajiri na Tatizo la Nguvu za kiume......Leo hii mama Ake DIAMOND 💎 PLATINUM angefanya Abortion.....Nadhan unaelewa nacho zungumzaa

Na baadhi ya wanaume kugeuka wanawake

 

[The Icebreaker]

Ubize wao hatuoni wakichimba mafuta/gas; au ubize wao uko wapi?

Kumbe ubize hua upo kwenye kuchimba mafuta na gas tu..Eeh.

 

[The Icebreaker]

Sio kwel Kila mtoto na bahati yake 😊😊 chunguza Kuna asilimia kubwa ya Utajiri na Tatizo la Nguvu za kiume......Leo hii mama Ake DIAMOND 💎 PLATINUM angefanya Abortion.....Nadhan unaelewa nacho zungumzaa

Umeniquote ila umejibu kitu ambacho ni tofauti kabisa na nilichokisema.

 

[Dr Matola PhD]

Ukoo wetu tumebakia wachache Sasa kama hatuto zaa sana watoto wa kiume Kuna uwezekano jina la ukoo wetu likapotea ni Rai a Kila mwanaukoo wa kiume kupambania ukoo wetu usije kupotea.......
Civilization+ family planning sio Kwa waafrika.....

Sasa jina la ukoo wenu likiwa la malofa na panya road kuna faida gani?

 

[dadapesa]

kwanza uzazi wenyewe umekuwa changamoto ka nn.