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  <channel>
    <title>topic Re: Required Countries total population in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571578#M12202</link>
    <description>&lt;P&gt;PROC PRINT will do subtotals and totals for you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;data world_popl;
input sno Country $ 3-16 Population;
datalines;
1 China         1420062022
2 India         1368737513
3 United States 329093110
;

run;

proc print data=world_popl;
	var sno Country Population;
	sum Population;
	where Country in ("China" "India");
run;&lt;/PRE&gt;</description>
    <pubDate>Sat, 06 Jul 2019 15:54:22 GMT</pubDate>
    <dc:creator>arthurcavila</dc:creator>
    <dc:date>2019-07-06T15:54:22Z</dc:date>
    <item>
      <title>Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571550#M12195</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;Hi Guys Good Morning &lt;BR /&gt;in the given data set i want india and china total population  &lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/CODE&gt;&lt;/PRE&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;sno&lt;/TD&gt;&lt;TD&gt;Country (or dependency)&lt;/TD&gt;&lt;TD&gt;Population&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;China&lt;/TD&gt;&lt;TD&gt;1420062022&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;2&lt;/TD&gt;&lt;TD&gt;India&lt;/TD&gt;&lt;TD&gt;1368737513&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;Total_Pop_Both_Countries&lt;/TD&gt;&lt;TD&gt;2788799535&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;data world_popl;
input sno	Country or dependency$	Population	Yearly	Net	Density	Land Area	Migrants	Fert.	Med.	Urban	World
Change	Change	(P/Km²)	(Km²)	(net)	Rate	Age	Pop %	Share;
datalines;
	
1	China	1420062022	0.0035	5016094	151	9388211	-324919	1.6	39	0.6	0.1841
2	India	1368737513	0.0108	14685659	460	2973190	-490000	2.3	28	0.34	0.1774
3	United States	329093110	0.0071	2326362	36	9147420	900000	1.9	38	0.84	0.0427
4	Indonesia	269536482	0.0103	2741502	149	1811570	-165000	2.3	29	0.56	0.0349
5	Brazil	212392717	0.0072	1524763	25	8358140	6000	1.7	33	0.86	0.0275
6	Pakistan	204596442	0.0188	3782624	265	770880	-214356	3.4	23	0.4	0.0265
7	Nigeria	200962417	0.026	5087180	221	910770	-60000	5.4	18	0.52	0.026
8	Bangladesh	168065920	0.0102	1697771	1291	130170	-470000	2.1	27	0.37	0.0218
9	Russia	143895551	-0.0005	-69158	9	16376870	160000	1.8	40	0.73	0.0187
10	Mexico	132328035	0.012	1568961	68	1943950	-60000	2.1	29	0.79	0.0172
11	Japan	126854745	-0.0026	-330587	348	364555	50000	1.5	48	0.94	0.0164
12	Ethiopia	110135635	0.0242	2600753	110	1000000	-12000	4	20	0.21	0.0143
13	Philippines	108106310	0.015	1594236	363	298170	-130000	2.9	25	0.44	0.014
14	Egypt	101168745	0.018	1793004	102	995450	-55000	3.2	25	0.39	0.0131
15	Vietnam	97429061	0.0097	937915	314	310070	-40000	1.9	33	0.36	0.0126
16	DR Congo	86727573	0.0324	2722584	38	2267050	23861	6	17	0.41	0.0112
17	Turkey	82961805	0.0128	1044934	108	769630	305000	2	32	0.72	0.0108
18	Iran	82820766	0.0099	809031	51	1628550	-55000	1.6	32	0.76	0.0107
19	Germany	82438639	0.0018	145182	237	348560	370000	1.5	47	0.76	0.0107
20	Thailand	69306160	0.0018	122987	136	510890	19444	1.5	40	0.54	0.009
21	United Kingdom	66959016	0.0058	385512	277	241930	180000	1.9	41	0.81	0.0087
22	France	65480710	0.0038	247439	120	547557	80000	2	42	0.81	0.0085
23	Tanzania	60913557	0.0308	1822165	69	885800	-40000	4.9	18	0.33	0.0079
24	Italy	59216525	-0.0013	-74444	201	294140	70000	1.5	48	0.72	0.0077
25	South Africa	58065097	0.0116	666676	48	1213090	60000	2.4	27	0.63	0.0075
26	Myanmar	54336138	0.0089	480403	83	653290	-20000	2.2	29	0.37	0.007
27	Kenya	52214791	0.0248	1263912	92	569140	-10000	3.8	20	0.27	0.0068
28	South Korea	51339238	0.0034	174803	528	97230	40000	1.3	43	0.82	0.0067
29	Colombia	49849818	0.0078	385135	45	1109500	-29401	1.8	32	0.81	0.0065
30	Spain	46441049	0.0009	43597	93	498800	40000	1.4	46	0.83	0.006
31	Uganda	45711874	0.0326	1441311	229	199810	-30000	5.5	16	0.17	0.0059
32	Argentina	45101781	0.0092	412917	16	2736690	4800	2.3	32	0.89	0.0058
33	Ukraine	43795220	-0.0049	-213994	76	579320	-20000	1.6	41	0.7	0.0057
34	Algeria	42679018	0.016	670964	18	2381740	-10000	2.6	29	0.74	0.0055
35	Sudan	42514094	0.0242	1002568	24	1765048	-50000	4.4	20	0.36	0.0055
36	Iraq	40412299	0.0273	1072546	93	434320	7834	4.3	20	0.69	0.0052
37	Poland	38028278	-0.002	-76554	124	306230	-10000	1.3	42	0.61	0.0049
38	Canada	37279811	0.0088	326046	4	9093510	220000	1.6	41	0.83	0.0048
39	Afghanistan	37209007	0.023	835831	57	652860	-60000	4.4	19	0.27	0.0048
40	Morocco	36635156	0.0123	443351	82	446300	-51419	2.4	30	0.6	0.0047
41	Saudi Arabia	34140662	0.0175	586319	16	2149690	118000	2.5	32	0.78	0.0044
42	Peru	32933835	0.0117	382020	26	1280000	-35908	2.4	29	0.79	0.0043
43	Uzbekistan	32807368	0.0137	442372	77	425400	-8863	2.2	28	0.35	0.0043
44	Venezuela	32779868	0.0123	398647	37	882050	-12099	2.3	29	0.9	0.0042
45	Malaysia	32454455	0.0129	411997	99	328550	50000	2	30	0.77	0.0042
46	Angola	31787566	0.0329	1013361	25	1246700	0	5.6	17	0.38	0.0041
47	Mozambique	31408823	0.0288	880150	40	786380	-5000	5.1	18	0.32	0.0041
48	Ghana	30096970	0.0215	633327	132	227540	-20000	3.9	21	0.55	0.0039
49	Nepal	29942018	0.0107	317983	209	143350	-70000	2.1	25	0.2	0.0039
50	Yemen	29579986	0.023	664702	56	527970	-30000	3.8	20	0.35	0.0038
51	Madagascar	26969642	0.0269	706832	46	581795	-1500	4.1	20	0.38	0.0035
52	North Korea	25727408	0.0046	116736	214	120410	-2031	1.9	35	0.61	0.0033
53	Côte d'Ivoire	25531083	0.0251	625240	80	318000	6000	4.8	19	0.52	0.0033
54	Cameroon	25312993	0.0257	634759	54	472710	-4800	4.6	19	0.58	0.0033
55	Australia	25088636	0.0128	316389	3	7682300	169993	1.8	38	0.9	0.0033
56	Taiwan	23758247	0.0027	64158	671	35410	30000	1.2	42	0.78	0.0031
57	Niger	23176691	0.0388	865316	18	1266700	-5699	7.2	15	0.19	0.003
58	Sri Lanka	21018859	0.0033	68818	335	62710	-90000	2	34	0.2	0.0027
59	Burkina Faso	20321560	0.0289	569909	74	273600	-25000	5.2	18	0.33	0.0026
60	Malawi	19718743	0.0289	554015	209	94280	-12000	4.5	18	0.17	0.0026
61	Mali	19689140	0.0304	581434	16	1220190	-40000	5.9	16	0.4	0.0026
62	Romania	19483360	-0.005	-97274	85	230170	-30000	1.5	43	0.61	0.0025
63	Kazakhstan	18592970	0.0103	189110	7	2699700	0	2.6	31	0.5	0.0024
64	Syria	18499181	0.0117	214774	101	183630	-248000	2.8	22	0.8	0.0024
65	Chile	18336653	0.0077	139444	25	743532	17057	1.8	35	0.91	0.0024
66	Zambia	18137369	0.03	528191	24	743390	-8000	4.9	18	0.42	0.0024
67	Guatemala	17577842	0.0193	332496	164	107160	-9215	2.9	23	0.54	0.0023
68	Zimbabwe	17297495	0.0227	384234	45	386850	-20000	3.6	20	0.31	0.0022
69	Netherlands	17132908	0.0028	48449	508	33720	16000	1.7	43	0.92	0.0022
70	Ecuador	17100444	0.0141	237019	69	248360	-6155	2.4	28	0.65	0.0022
71	Senegal	16743859	0.0276	449589	87	192530	-19999	4.6	19	0.45	0.0022
72	Cambodia	16482646	0.0146	236917	93	176520	-30000	2.5	26	0.22	0.0021
73	Chad	15814345	0.03	461161	13	1259200	2000	5.8	17	0.22	0.002
74	Somalia	15636171	0.0299	454246	25	627340	-39958	6.1	17	0.33	0.002
75	Guinea	13398180	0.0265	345572	55	245720	-10000	4.7	19	0.4	0.0017
76	South Sudan	13263184	0.0266	344131	22	610952	30000	4.7	19	0.2	0.0017
77	Rwanda	12794412	0.0235	293256	519	24670	-9000	3.8	20	0.35	0.0017
78	Benin	11801595	0.0275	315921	105	112760	-2000	4.9	19	0.47	0.0015
79	Tunisia	11783168	0.0106	123994	76	155360	-4000	2.1	33	0.67	0.0015
80	Burundi	11575964	0.0321	359514	451	25680	4000	5.6	18	0.14	0.0015
81	Belgium	11562784	0.0056	64265	382	30280	48000	1.8	42	0.96	0.0015
82	Cuba	11492046	0.0003	2964	108	106440	-22000	1.7	43	0.75	0.0015
83	Bolivia	11379861	0.0146	164187	11	1083300	-10001	2.8	25	0.72	0.0015
84	Haiti	11242856	0.0117	129911	408	27560	-35000	2.8	24	0.62	0.0015
85	Greece	11124603	-0.0016	-17558	86	128900	9999	1.3	45	0.79	0.0014
86	Dominican Republic	10996774	0.0105	113778	228	48320	-30267	2.4	28	0.83	0.0014
87	Czechia	10630589	0.0005	5339	138	77240	11999	1.6	43	0.75	0.0014
88	Portugal	10254666	-0.0035	-36530	112	91590	-6000	1.2	46	0.68	0.0013
89	Jordan	10069794	0.0168	165992	113	88780	0	3.3	23	0.67	0.0013
90	Sweden	10053135	0.0071	70426	24	410340	40000	1.9	41	0.86	0.0013
91	Azerbaijan	10014575	0.0091	90661	121	82658	0	2	32	0.55	0.0013
92	United Arab Emirates	9682088	0.0147	140473	116	83600	60200	1.7	34	0.93	0.0013
93	Hungary	9655361	-0.0035	-33486	107	90530	6000	1.4	43	0.74	0.0013
94	Honduras	9568688	0.0161	151521	86	111890	-2800	2.4	25	0.54	0.0012
95	Belarus	9433874	-0.0019	-18239	46	202910	2000	1.7	40	0.75	0.0012
96	Tajikistan	9292000	0.0203	184789	66	139960	-20000	3.3	23	0.28	0.0012
97	Austria	8766201	0.0016	14381	106	82409	20000	1.5	44	0.66	0.0011
98	Serbia	8733407	-0.0033	-28620	100	87460	-10000	1.6	41	0.59	0.0011
99	Switzerland	8608259	0.0075	64225	218	39516	50000	1.5	43	0.74	0.0011
100	Papua New Guinea	8586525	0.02	168179	19	452860	-200	3.6	23	0.13	0.0011
101	Israel	8583916	0.0155	131075	397	21640	10000	2.9	31	0.9	0.0011
102	Togo	8186384	0.0245	195458	151	54390	-2000	4.4	19	0.4	0.0011
103	Sierra Leone	7883123	0.0212	163394	109	72180	-4200	4.3	19	0.36	0.001
104	Hong Kong	7490776	0.0083	61889	7134	1050	29308	1.3	45	N.A.	0.001
105	Laos	7064242	0.0148	103032	31	230800	-14704	2.6	24	0.45	0.0009
106	Bulgaria	6988739	-0.0068	-48109	64	108560	-4800	1.6	45	0.74	0.0009
107	Paraguay	6981981	0.0123	85073	18	397300	-16473	2.4	27	0.65	0.0009
108	Libya	6569864	0.0153	98908	4	1759540	-1999	2.2	29	0.81	0.0009
109	El Salvador	6445405	0.0053	33847	311	20720	-40539	2.1	28	0.7	0.0008
110	Nicaragua	6351157	0.0106	66400	53	120340	-21268	2.2	27	0.62	0.0008
111	Kyrgyzstan	6218616	0.014	85684	32	191800	-20000	2.9	26	0.36	0.0008
112	Lebanon	6065922	-0.0045	-27587	593	10230	-30000	1.7	31	0.71	0.0008
113	Turkmenistan	5942561	0.0156	91095	13	469930	-5000	2.8	27	0.49	0.0008
114	Singapore	5868104	0.0132	76203	8383	700	59690	1.3	42	N.A.	0.0008
115	Denmark	5775224	0.0036	20868	136	42430	15200	1.8	42	0.88	0.0007
116	Finland	5561389	0.0034	18872	18	303890	14000	1.8	43	0.84	0.0007
117	Congo	5542197	0.0264	142302	16	341500	-4001	4.6	19	0.62	0.0007
118	Slovakia	5450987	0.0002	1171	113	48088	1000	1.5	41	0.53	0.0007
119	Norway	5400916	0.0089	47553	15	365268	28000	1.8	40	0.81	0.0007
120	Eritrea	5309659	0.0235	121711	53	101000	-10000	4	19	0.35	0.0007
121	State of Palestine	5186790	0.0265	134014	862	6020	-6563	3.9	20	0.74	0.0007
122	Oman	5001875	0.0356	171929	16	309500	121000	2.5	31	0.71	0.0006
123	Costa Rica	4999384	0.0093	46185	98	51060	3277	1.8	34	0.84	0.0006
124	Liberia	4977720	0.0256	124204	52	96320	-5000	4.5	19	0.51	0.0006
125	Ireland	4847139	0.009	43391	70	68890	4699	2	39	0.65	0.0006
126	Central African Republic	4825711	0.0186	88288	8	622980	-30000	4.8	18	0.44	0.0006
127	New Zealand	4792409	0.009	42811	18	263310	14881	2	38	0.86	0.0006
128	Mauritania	4661149	0.0267	121081	5	1030700	5100	4.6	20	0.6	0.0006
129	Kuwait	4248974	0.0124	51846	238	17820	20000	2	34	0.91	0.0006
130	Panama	4226197	0.0153	63579	57	74340	6290	2.5	30	0.68	0.0005
131	Croatia	4140148	-0.0059	-24635	74	55960	-8000	1.4	44	0.61	0.0005
132	Moldova	4029750	-0.0028	-11315	123	32850	-2864	1.2	38	0.38	0.0005
133	Georgia	3904204	-0.0007	-2927	56	69490	-10000	2	39	0.59	0.0005
134	Puerto Rico	3654978	-0.0011	-4029	412	8870	-14000	1.5	38	0.94	0.0005
135	Bosnia and Herzegovina	3501774	-0.0005	-1780	69	51000	-501	1.4	42	0.44	0.0005
136	Uruguay	3482156	0.0036	12605	20	175020	-3000	2	36	0.96	0.0005
137	Mongolia	3166244	0.0142	44472	2	1553560	-3000	2.7	29	0.73	0.0004
138	Albania	2938428	0.0014	4065	107	27400	-8000	1.7	38	0.67	0.0004
139	Armenia	2936706	0.0009	2554	103	28470	-4998	1.6	36	0.64	0.0004
140	Jamaica	2906339	0.0026	7662	268	10830	-18600	2	31	0.55	0.0004
141	Lithuania	2864459	-0.0042	-12016	46	62674	-5000	1.7	43	0.69	0.0004
142	Qatar	2743901	0.0182	49052	236	11610	40000	1.9	32	0.91	0.0004
143	Namibia	2641996	0.0209	54195	3	823290	-447	3.3	22	0.49	0.0003
144	Botswana	2374636	0.0178	41435	4	566730	3000	2.7	26	0.53	0.0003
145	Lesotho	2292682	0.0131	29672	76	30360	-4000	3	22	0.28	0.0003
146	Gambia	2228075	0.0297	64310	220	10120	-2600	5.3	18	0.62	0.0003
147	Gabon	2109099	0.0201	41538	8	257670	1000	3.7	23	0.8	0.0003
148	North Macedonia	2086720	0.0008	1669	83	25220	-1000	1.5	39	0.58	0.0003
149	Slovenia	2081900	0.0003	640	103	20140	1200	1.6	45	0.5	0.0003
150	Guinea-Bissau	1953723	0.0244	46455	69	28120	-1999	4.5	19	0.52	0.0003
151	Latvia	1911108	-0.0098	-18830	31	62200	-10000	1.6	44	0.7	0.0002
152	Bahrain	1637896	0.0452	70903	2155	760	47000	2	32	0.79	0.0002
153	Swaziland	1415414	0.0173	24029	82	17200	-2000	3	21	0.2	0.0002
154	Trinidad and Tobago	1375443	0.0021	2845	268	5130	-900	1.7	36	0.08	0.0002
155	Equatorial Guinea	1360104	0.0352	46210	48	28050	16000	4.6	22	0.27	0.0002
156	Timor-Leste	1352360	0.0213	28266	91	14870	-10001	5.3	18	0.33	0.0002
157	Estonia	1303798	-0.0023	-2990	31	42390	-1000	1.7	43	0.65	0.0002
158	Mauritius	1271368	0.0024	3053	626	2030	0	1.4	37	0.39	0.0002
159	Cyprus	1198427	0.0079	9342	130	9240	5000	1.3	37	0.67	0.0002
160	Djibouti	985690	0.0147	14282	43	23180	900	2.8	25	0.75	0.0001
161	Fiji	918757	0.0071	6516	50	18270	-4000	2.5	29	0.55	0.0001
162	Réunion	889918	0.0076	6671	356	2500	-1256	2.3	36	N.A.	0.0001
163	Comoros	850910	0.0223	18563	457	1861	-2000	4.2	20	0.29	0.0001
164	Bhutan	826229	0.0112	9175	22	38117	0	2	29	0.41	0.0001
165	Guyana	786508	0.0055	4283	4	196850	-4910	2.5	26	0.3	0.0001
166	Macao	642090	0.0153	9672	21403	30	5000	1.3	39	0.96	0.0001
167	Solomon Islands	635254	0.0192	11973	23	27990	-2400	3.8	21	0.24	0.0001
168	Montenegro	629355	0.0002	136	47	13450	-480	1.7	39	0.64	0.0001
169	Luxembourg	596992	0.0113	6671	230	2590	5000	1.6	40	0.87	0.0001
170	Western Sahara	582478	0.0265	15057	2	266000	5582	2.4	28	0.95	0.0001
171	Suriname	573085	0.0084	4784	4	156000	-1000	2.3	30	0.65	0.0001
172	Cabo Verde	560349	0.0127	7014	139	4030	-1478	2.3	26	0.64	0.0001
173	Micronesia	536579	0.0086	4583	767	700	-3093	2.8	27	0.68	0.0001
174	Maldives	451738	0.0168	7479	1506	300	1952	2	31	0.42	0.0001
175	Guadeloupe	448798	-0.0008	-375	266	1690	-1600	1.9	43	N.A.	0.0001
176	Brunei	439336	0.0121	5260	83	5270	352	1.8	32	0.8	0.0001
177	Malta	433245	0.0027	1156	1354	320	900	1.5	42	0.96	0.0001
178	Bahamas	403095	0.0095	3810	40	10010	1000	1.8	34	0.84	0.0001
179	Belize	390231	0.0204	7787	17	22810	1366	2.5	25	0.42	0.0001
180	Martinique	385320	0.0007	255	364	1060	-960	1.9	46	0.94	0
181	Iceland	340566	0.0082	2786	3	100250	380	1.9	37	0.97	0
182	French Guiana	296847	0.0244	7084	4	82200	1200	3.3	25	0.83	0
183	French Polynesia	288506	0.0093	2647	79	3660	-100	2	33	0.57	0
184	Vanuatu	288017	0.0209	5900	24	12190	121	3.2	23	0.27	0
185	Barbados	287010	0.0022	622	667	430	414	1.8	40	0.32	0
186	New Caledonia	283376	0.0127	3555	16	18280	1133	2.1	33	0.7	0
187	Mayotte	266380	0.0258	6698	710	375	0	3.7	20	0.44	0
188	Sao Tome &amp;amp; Principe	213379	0.0218	4561	222	960	-1000	4.4	19	0.7	0
189	Samoa	198909	0.0061	1214	70	2830	-2500	3.9	22	0.19	0
190	Saint Lucia	180454	0.0044	787	296	610	8	1.4	35	0.2	0
191	Guam	167245	0.0092	1527	310	540	-506	2.3	31	N.A.	0
192	Channel Islands	166828	0.0045	745	878	190	731	1.5	44	0.32	0
193	Curaçao	162547	0.006	970	366	444	515	2	42	0.93	0
194	Kiribati	120428	0.017	2014	149	810	-425	3.6	23	0.42	0
195	St. Vincent &amp;amp; Grenadines	110488	0.0026	288	283	390	-599	1.9	32	0.51	0
196	Tonga	110041	0.0095	1033	153	720	-967	3.6	22	0.24	0
197	Grenada	108825	0.0045	486	320	340	-699	2.1	29	0.36	0
198	Aruba	106053	0.0036	383	589	180	201	1.8	41	0.4	0
199	U.S. Virgin Islands	104909	0	-5	300	350	-451	2.2	42	0.98	0
200	Antigua and Barbuda	104084	0.01	1034	237	440	-11	2	32	0.21	0
201	Seychelles	95702	0.0049	467	208	460	-200	2.3	36	0.55	0
202	Isle of Man	85369	0.0063	538	150	570		N.A.	N.A.	0.55	0
203	Andorra	77072	0.0015	119	164	470		N.A.	N.A.	0.9	0
204	Dominica	74679	0.005	371	100	750		N.A.	N.A.	0.7	0
205	Cayman Islands	63129	0.0125	781	263	240		N.A.	N.A.	0.99	0
206	Bermuda	60833	-0.0039	-237	1217	50		N.A.	N.A.	N.A.	0
207	Greenland	56673	0.0019	108	0	410450		N.A.	N.A.	0.88	0
208	Saint Kitts &amp;amp; Nevis	56345	0.0089	495	217	260		N.A.	N.A.	0.33	0
209	American Samoa	55727	0.0009	48	279	200		N.A.	N.A.	0.89	0
210	Northern Mariana Islands	55246	0.0009	52	120	460		N.A.	N.A.	0.9	0
211	Marshall Islands	53211	0.0008	44	296	180		N.A.	N.A.	0.76	0
212	Faeroe Islands	49692	0.0041	203	36	1396		N.A.	N.A.	0.43	0
213	Sint Maarten	40939	0.0095	387	1204	34		N.A.	N.A.	N.A.	0
214	Monaco	39102	0.0053	205	26243	1		N.A.	N.A.	N.A.	0
215	Liechtenstein	38404	0.0065	249	240	160		N.A.	N.A.	0.14	0
216	Turks and Caicos	36461	0.0138	498	38	950		N.A.	N.A.	0.93	0
217	Gibraltar	34879	0.0042	146	3488	10		N.A.	N.A.	0.84	0
218	San Marino	33683	0.0038	126	561	60		N.A.	N.A.	0.9	0
219	British Virgin Islands	32206	0.0154	487	215	150		N.A.	N.A.	0.44	0
220	Caribbean Netherlands	25971	0.0105	269	79	328		N.A.	N.A.	0.61	0
221	Palau	22206	0.011	242	48	460		N.A.	N.A.	0.89	0
222	Cook Islands	17462	0.0029	51	73	240		N.A.	N.A.	0.92	0
223	Anguilla	15174	0.0086	129	169	90		N.A.	N.A.	1	0
224	Wallis &amp;amp; Futuna	11617	-0.0056	-66	83	140		N.A.	N.A.	0	0
225	Tuvalu	11393	0.0094	106	380	30		N.A.	N.A.	0.56	0
226	Nauru	11260	-0.0046	-52	563	20		N.A.	N.A.	0.92	0
227	Saint Pierre &amp;amp; Miquelon	6375	0.0052	33	28	230		N.A.	N.A.	0.86	0
228	Montserrat	5220	0.0033	17	52	100		N.A.	N.A.	0.09	0
229	Saint Helena	4096	0.0054	22	11	390		N.A.	N.A.	0.41	0
230	Falkland Islands	2921	-0.0003	-1	0	12170		N.A.	N.A.	0.82	0
231	Niue	1628	0.0025	4	6	260		N.A.	N.A.	0.33	0
232	Tokelau	1340	0.0159	21	134	10		N.A.	N.A.	0	0
233	Holy See	799	-0.0025	-2	1998	0		N.A.	N.A.	N.A.	0
;

run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Sat, 06 Jul 2019 06:13:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571550#M12195</guid>
      <dc:creator>BrahmanandaRao</dc:creator>
      <dc:date>2019-07-06T06:13:22Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571552#M12196</link>
      <description>&lt;P&gt;In SQL:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;select sum(population) as sum_pop from world_popl
where country in ('China','India');&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Sat, 06 Jul 2019 06:23:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571552#M12196</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2019-07-06T06:23:40Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571553#M12197</link>
      <description>&lt;P&gt;PS test your example data code before posting; by now you should be able to get a simple data step with datalines right.&lt;/P&gt;</description>
      <pubDate>Sat, 06 Jul 2019 06:25:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571553#M12197</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2019-07-06T06:25:28Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571554#M12198</link>
      <description>&lt;P&gt;Good Morning sir&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want report output below format&amp;nbsp; can we do this output in data setp and proc sql and proc report&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;sno&lt;/TD&gt;&lt;TD&gt;Country (or dependency)&lt;/TD&gt;&lt;TD&gt;Population&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;China&lt;/TD&gt;&lt;TD&gt;1420062022&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;2&lt;/TD&gt;&lt;TD&gt;India&lt;/TD&gt;&lt;TD&gt;1368737513&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;2788799535&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;</description>
      <pubDate>Sat, 06 Jul 2019 06:37:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571554#M12198</guid>
      <dc:creator>BrahmanandaRao</dc:creator>
      <dc:date>2019-07-06T06:37:18Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571555#M12199</link>
      <description>&lt;P&gt;Yes, you can. Show what you have tried already in the different methods.&lt;/P&gt;</description>
      <pubDate>Sat, 06 Jul 2019 06:52:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571555#M12199</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2019-07-06T06:52:25Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571556#M12200</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data dsn;
set country;
by Country__or_dependency_;
retain total 0;
if first.Country__or_dependency_=1 then total=population;
else total=total+population;
if last.Country__or_dependency_=1 ;
/*total=total+population;*/
run;


proc report data =country ;
column Country__or_dependency_  Population;
define Country__or_dependency_ /display;
define  Population / sum   format= comma32.;
compute population   ;
if Country in ("India ,China") then total_pop=populaion1 ;
endcomp;
run;



&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Sat, 06 Jul 2019 07:04:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571556#M12200</guid>
      <dc:creator>BrahmanandaRao</dc:creator>
      <dc:date>2019-07-06T07:04:38Z</dc:date>
    </item>
    <item>
      <title>Re: Required Countries total population</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571578#M12202</link>
      <description>&lt;P&gt;PROC PRINT will do subtotals and totals for you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;data world_popl;
input sno Country $ 3-16 Population;
datalines;
1 China         1420062022
2 India         1368737513
3 United States 329093110
;

run;

proc print data=world_popl;
	var sno Country Population;
	sum Population;
	where Country in ("China" "India");
run;&lt;/PRE&gt;</description>
      <pubDate>Sat, 06 Jul 2019 15:54:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Required-Countries-total-population/m-p/571578#M12202</guid>
      <dc:creator>arthurcavila</dc:creator>
      <dc:date>2019-07-06T15:54:22Z</dc:date>
    </item>
  </channel>
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