Resident Population Aged 15 Years and Over by Language Literate In, Age Group, Sex and Ethnic Group (Census of Population 2020)

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Data explorer

ResidentPopulationAged15YearsandOverbyLanguageLiterateInAgeGroupSexandEthnicGroupCensusofPopulation2020.csv (19 rows, 20.3 KB)

Number Text	[Total] (Total) Total Numeric	[Total] (Total) Males Numeric	[Total] (Total) Females Numeric	[Total] (15 - 24 Years) Total Numeric	[Total] (15 - 24 Years) Males Numeric	[Total] (15 - 24 Years) Females Numeric	[Total] (25 - 34 Years) Total Numeric	[Total] (25 - 34 Years) Males Numeric	[Total] (25 - 34 Years) Females Numeric	[Total] (35 - 44 Years) Total Numeric	[Total] (35 - 44 Years) Males Numeric	[Total] (35 - 44 Years) Females Numeric	[Total] (45 - 54 Years) Total Numeric	[Total] (45 - 54 Years) Males Numeric	[Total] (45 - 54 Years) Females Numeric	[Total] (55 - 64 Years) Total Numeric	[Total] (55 - 64 Years) Males Numeric	[Total] (55 - 64 Years) Females Numeric	[Total] (65 - 74 Years) Total Numeric	[Total] (65 - 74 Years) Males Numeric	[Total] (65 - 74 Years) Females Numeric	[Total] (75 - 84 Years) Total Numeric	[Total] (75 - 84 Years) Males Numeric	[Total] (75 - 84 Years) Females Numeric	[Total] (85 Years & Over) Total Numeric	[Total] (85 Years & Over) Males Numeric	[Total] (85 Years & Over) Females Numeric	[Chinese] (Total) Total Numeric	[Chinese] (Total) Males Text	[Chinese] (Total) Females Numeric	[Chinese] (15 - 24 Years) Total Text	[Chinese] (15 - 24 Years) Males Text	[Chinese] (15 - 24 Years) Females Text	[Chinese] (25 - 34 Years) Total Text	[Chinese] (25 - 34 Years) Males Text	[Chinese] (25 - 34 Years) Females Text	[Chinese] (35 - 44 Years) Total Text	[Chinese] (35 - 44 Years) Males Text	[Chinese] (35 - 44 Years) Females Text	[Chinese] (45 - 54 Years) Total Text	[Chinese] (45 - 54 Years) Males Text	[Chinese] (45 - 54 Years) Females Text	[Chinese] (55 - 64 Years) Total Text	[Chinese] (55 - 64 Years) Males Text	[Chinese] (55 - 64 Years) Females Text	[Chinese] (65 - 74 Years) Total Numeric	[Chinese] (65 - 74 Years) Males Text	[Chinese] (65 - 74 Years) Females Numeric	[Chinese] (75 - 84 Years) Total Text	[Chinese] (75 - 84 Years) Males Text	[Chinese] (75 - 84 Years) Females Text	[Chinese] (85 Years & Over) Total Text	[Chinese] (85 Years & Over) Males Text	[Chinese] (85 Years & Over) Females Text	[Malays] (Total) Total Numeric	[Malays] (Total) Males Text	[Malays] (Total) Females Numeric	[Malays] (15 - 24 Years) Total Text	[Malays] (15 - 24 Years) Males Text	[Malays] (15 - 24 Years) Females Text	[Malays] (25 - 34 Years) Total Text	[Malays] (25 - 34 Years) Males Text	[Malays] (25 - 34 Years) Females Text	[Malays] (35 - 44 Years) Total Text	[Malays] (35 - 44 Years) Males Text	[Malays] (35 - 44 Years) Females Text	[Malays] (45 - 54 Years) Total Text	[Malays] (45 - 54 Years) Males Text	[Malays] (45 - 54 Years) Females Text	[Malays] (55 - 64 Years) Total Text	[Malays] (55 - 64 Years) Males Text	[Malays] (55 - 64 Years) Females Text	[Malays] (65 - 74 Years) Total Text	[Malays] (65 - 74 Years) Males Text	[Malays] (65 - 74 Years) Females Text	[Malays] (75 - 84 Years) Total Text	[Malays] (75 - 84 Years) Males Text	[Malays] (75 - 84 Years) Females Text	[Malays] (85 Years & Over) Total Text	[Malays] (85 Years & Over) Males Text	[Malays] (85 Years & Over) Females Text	[Indians] (Total) Total Numeric	[Indians] (Total) Males Numeric	[Indians] (Total) Females Numeric	[Indians] (15 - 24 Years) Total Text	[Indians] (15 - 24 Years) Males Text	[Indians] (15 - 24 Years) Females Text	[Indians] (25 - 34 Years) Total Text	[Indians] (25 - 34 Years) Males Text	[Indians] (25 - 34 Years) Females Text	[Indians] (35 - 44 Years) Total Numeric	[Indians] (35 - 44 Years) Males Numeric	[Indians] (35 - 44 Years) Females Numeric	[Indians] (45 - 54 Years) Total Numeric	[Indians] (45 - 54 Years) Males Numeric	[Indians] (45 - 54 Years) Females Text	[Indians] (55 - 64 Years) Total Text	[Indians] (55 - 64 Years) Males Text	[Indians] (55 - 64 Years) Females Text	[Indians] (65 - 74 Years) Total Text	[Indians] (65 - 74 Years) Males Text	[Indians] (65 - 74 Years) Females Text	[Indians] (75 - 84 Years) Total Text	[Indians] (75 - 84 Years) Males Text	[Indians] (75 - 84 Years) Females Text	[Indians] (85 Years & Over) Total Text	[Indians] (85 Years & Over) Males Text	[Indians] (85 Years & Over) Females Text	[Others] (Total) Total Numeric	[Others] (Total) Males Text	[Others] (Total) Females Numeric	[Others] (15 - 24 Years) Total Text	[Others] (15 - 24 Years) Males Text	[Others] (15 - 24 Years) Females Text	[Others] (25 - 34 Years) Total Text	[Others] (25 - 34 Years) Males Text	[Others] (25 - 34 Years) Females Text	[Others] (35 - 44 Years) Total Text	[Others] (35 - 44 Years) Males Text	[Others] (35 - 44 Years) Females Text	[Others] (45 - 54 Years) Total Text	[Others] (45 - 54 Years) Males Text	[Others] (45 - 54 Years) Females Text	[Others] (55 - 64 Years) Total Text	[Others] (55 - 64 Years) Males Text	[Others] (55 - 64 Years) Females Text	[Others] (65 - 74 Years) Total Text	[Others] (65 - 74 Years) Males Text	[Others] (65 - 74 Years) Females Text	[Others] (75 - 84 Years) Total Text	[Others] (75 - 84 Years) Males Text	[Others] (75 - 84 Years) Females Text	[Others] (85 Years & Over) Total Text	[Others] (85 Years & Over) Males Text	[Others] (85 Years & Over) Females Text
(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)5.3%	(Null)0.0%	(Null)21.1%	(Null)21.1%	(Null)26.3%	(Null)10.5%	(Null)21.1%	(Null)15.8%	(Null)10.5%	(Null)10.5%	(Null)15.8%	(Null)15.8%	(Null)15.8%	(Null)15.8%	(Null)10.5%	(Null)15.8%	(Null)10.5%	(Null)0.0%	(Null)15.8%	(Null)0.0%	(Null)5.3%	(Null)15.8%	(Null)5.3%	(Null)10.5%	(Null)10.5%	(Null)10.5%	(Null)0.0%	(Null)5.3%	(Null)0.0%	(Null)21.1%	(Null)21.1%	(Null)21.1%	(Null)10.5%	(Null)21.1%	(Null)10.5%	(Null)5.3%	(Null)15.8%	(Null)5.3%	(Null)10.5%	(Null)21.1%	(Null)10.5%	(Null)10.5%	(Null)26.3%	(Null)10.5%	(Null)10.5%	(Null)21.1%	(Null)21.1%	(Null)31.6%	(Null)36.8%	(Null)31.6%	(Null)26.3%	(Null)36.8%	(Null)47.4%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)5.3%	(Null)5.3%	(Null)10.5%	(Null)5.3%	(Null)5.3%	(Null)10.5%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)5.3%	(Null)5.3%	(Null)5.3%	(Null)5.3%	(Null)10.5%	(Null)10.5%	(Null)15.8%	(Null)10.5%	(Null)15.8%	(Null)10.5%	(Null)15.8%	(Null)15.8%	(Null)15.8%	(Null)0.0%	(Null)5.3%	(Null)0.0%	(Null)21.1%	(Null)21.1%	(Null)31.6%	(Null)10.5%	(Null)26.3%	(Null)10.5%	(Null)5.3%	(Null)15.8%	(Null)5.3%	(Null)5.3%	(Null)10.5%	(Null)10.5%	(Null)5.3%	(Null)15.8%	(Null)10.5%	(Null)5.3%	(Null)10.5%	(Null)10.5%	(Null)26.3%	(Null)31.6%	(Null)36.8%	(Null)31.6%	(Null)36.8%	(Null)36.8%
Total	3459093	1663560	1795534	458811	235320	223491	585602	283524	302078	597228	278689	318539	606077	294440	311638	592375	288668	303706	402983	195113	207870	159780	68519	91261	56238	19287	36951	2606881	1248962	1357919	314918	161875	153044	429615	208826	220789	438456	205136	233320	450583	215763	234820	455905	221181	234724	331812	160947	170865	136942	58972	77970	48651	16262	32388	447747	216363	231383	81802	42897	38906	94298	46933	47365	67653	32612	35041	69280	31845	37435	77689	36871	40818	40224	18342	21882	12992	5404	7589	3808	1461	2347	299056	150541	148515	46201	22532	23669	47275	22727	24549	64416	30971	33445	59390	33898	25492	45378	23266	22113	25356	12538	12818	8090	3355	4735	2949	1255	1694	105410	47693	57717	15889	8017	7872	14414	5039	9375	26703	9971	16733	26825	12934	13891	13402	7350	6052	5591	3286	2304	1756	788	968	830	309	521
Not Literate	99212	24257	74955	1256	780	476	1684	878	805	1885	875	1010	5421	2429	2992	15296	6160	9136	24277	6154	18123	28729	4515	24214	20665	2466	18199	83822	20672	63149	839	529	309	1155	718	437	1302	669	632	3817	1859	1958	11748	4944	6803	20369	5466	14903	25865	4239	21626	18728	2247	16481	9504	2017	7487	135	62	73	185	69	116	230	124	105	801	240	561	2239	706	1533	2521	442	2078	1980	204	1775	1414	169	1245	4897	1415	3482	216	159	57	127	55	71	110	69	41	627	299	328	1216	497	719	1313	239	1074	828	59	770	461	38	423	990	153	837	66	30	36	217	35	182	244	13	231	176	31	146	94	13	81	74	6	68	57	13	43	62	12	50
Literate	3359881	1639303	1720578	457555	234540	223015	583918	282646	301272	595343	277814	317529	600656	292011	308645	577078	282509	294570	378707	188959	189747	131051	64004	67047	35573	16821	18753	2523059	1228290	1294770	314080	161345	152734	428459	208107	220352	437154	204466	232688	446765	213904	232862	444157	216237	227920	311443	155481	155962	111077	54733	56343	29923	14015	15908	438243	214346	223897	81667	42834	38833	94113	46863	47250	67424	32487	34936	68479	31605	36874	75450	36165	39285	37703	17900	19804	11013	5200	5813	2394	1292	1103	294159	149127	145032	45986	22373	23613	47149	22671	24478	64306	30902	33404	58763	33599	25164	44163	22769	21394	24043	12299	11745	7262	3297	3965	2488	1217	1271	104420	47540	56879	15823	7987	7836	14197	5004	9193	26459	9958	16502	26649	12903	13746	13308	7338	5971	5517	3280	2237	1699	774	925	768	297	471
One Language Only	862098	410814	451284	44304	29513	14791	56912	31314	25598	75949	32342	43606	120174	56173	64001	221805	105525	116280	218004	100600	117403	96382	42982	53400	28568	12364	16205	719704	349048	370656	30395	21603	8792	42839	24818	18020	54022	23530	30492	94803	44103	50700	193200	93185	100015	193504	91249	102254	85614	39422	46193	25329	11139	14190	52837	19508	33329	2740	1554	1187	3179	1652	1527	4179	1637	2542	6789	2425	4364	14104	4974	9130	14029	4618	9411	6290	2057	4232	1528	591	936	53575	25889	27685	6410	3452	2958	6310	3355	2954	9262	4304	4958	9229	5188	4041	9660	4690	4970	8070	3336	4734	3385	1102	2283	1249	463	786	35983	16368	19615	4759	2905	1854	4585	1489	3096	8486	2872	5614	9353	4456	4897	4842	2676	2166	2401	1398	1003	1094	402	692	463	171	292
English Only	362469	205371	157098	42452	28548	13904	46454	28104	18350	49100	25252	23848	52449	29517	22932	76962	41834	35127	69349	38344	31005	20932	11527	9405	4771	2246	2525	279594	161396	118198	29162	20924	8238	34571	22241	12330	31566	17298	14268	34725	19667	15059	64617	34677	29940	62364	34289	28076	18669	10445	8224	3921	1855	2065	11105	5719	5387	2384	1356	1028	2242	1158	1085	2227	1092	1136	2142	1001	1140	1396	753	644	573	280	293	141	79	62	-	-	-	40681	22395	18286	6251	3397	2854	5921	3224	2698	8224	4034	4190	7544	4555	2990	6673	3802	2872	4441	2530	1912	1221	627	594	405	229	177	31088	15861	15227	4654	2870	1784	3720	1482	2239	7083	2828	4254	8038	4294	3744	4275	2603	1672	1971	1246	725	902	376	525	445	162	283
Chinese Only	438279	187365	250914	1227	672	555	8325	2577	5748	22124	6186	15938	59542	24360	35181	128088	58443	69646	130956	56929	74027	66719	28938	37781	21298	9260	12038	437699	187297	250401	1227	672	555	8169	2577	5591	21864	6161	15703	59448	24346	35101	128057	58436	69621	130925	56914	74010	66719	28938	37781	21291	9252	12038	62	8	54	-	-	-	-	-	-	19	-	19	19	-	19	-	-	-	17	-	17	-	-	-	8	8	-	42	38	3	-	-	-	-	-	-	28	24	3	14	14	-	-	-	-	-	-	-	-	-	-	-	-	-	477	21	456	-	-	-	156	-	156	213	-	213	62	-	62	32	7	25	14	14	-	-	-	-	-	-	-
Malay Only	45753	15131	30621	390	220	169	1087	562	525	2323	635	1688	5388	1688	3700	13970	4600	9370	14532	4698	9834	6466	2089	4377	1598	640	958	1258	216	1042	-	-	-	18	-	18	289	43	246	368	62	306	297	46	251	129	18	111	109	19	91	47	28	19	41407	13766	27641	356	198	159	919	494	425	1858	545	1313	4612	1424	3188	12701	4222	8480	13410	4322	9088	6046	1978	4068	1504	584	920	2392	928	1465	25	14	11	125	60	64	52	33	19	334	175	159	863	312	551	798	247	551	166	67	99	30	20	10	696	222	474	9	9	-	25	7	18	123	14	110	74	27	46	109	20	89	195	111	84	144	25	119	17	9	9
Tamil Only	9600	2325	7275	116	28	89	264	54	210	874	202	672	1214	427	787	2001	556	1445	2722	523	2199	1758	372	1386	650	164	486	30	-	30	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	10	-	10	20	-	20	-	-	-	17	-	17	-	-	-	17	-	17	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	9544	2325	7220	116	28	89	246	54	193	874	202	672	1214	427	787	1993	556	1437	2712	523	2189	1738	372	1367	650	164	486	8	-	8	-	-	-	-	-	-	-	-	-	-	-	-	8	-	8	-	-	-	-	-	-	-	-	-
Non-Official Language Only	5998	622	5376	120	46	74	782	17	765	1529	68	1461	1582	181	1401	784	93	691	445	108	337	507	57	450	250	53	197	1124	139	985	6	6	-	81	-	81	303	27	276	262	28	234	229	26	203	75	28	47	97	21	77	70	3	67	245	16	229	-	-	-	-	-	-	74	-	74	17	-	17	6	-	6	30	16	14	102	-	102	16	-	16	915	203	712	18	14	5	17	17	-	84	11	74	123	18	105	130	21	109	118	36	82	260	36	224	164	50	114	3714	264	3450	96	26	70	684	-	684	1067	30	1037	1180	135	1045	419	46	372	221	27	194	47	-	47	-	-	-
Two Languages Only	2259548	1117708	1141840	390695	196874	193821	469232	227657	241575	450271	215026	235245	432330	211562	220768	330459	162673	167786	148716	80937	67780	31605	18958	12647	6241	4022	2218	1629758	800446	829312	270750	135139	135611	339269	164698	174571	328449	157697	170752	317657	153131	164525	235793	114088	121705	110419	59371	51047	23284	13745	9539	4137	2575	1561	367229	186861	180368	74959	39910	35050	85995	43063	42933	59527	29207	30320	58600	27708	30892	59586	30273	29313	23095	12935	10160	4631	3096	1534	835	669	166	204861	104496	100365	36233	17650	18583	35898	16990	18908	46726	22184	24542	41216	23603	17613	27945	14475	13469	12672	7143	5530	3154	1791	1363	1018	661	358	57700	25905	31795	8753	4175	4578	8069	2906	5164	15569	5938	9631	14857	7120	7737	7135	3836	3299	2530	1487	1043	536	326	210	251	117	133

Column legend

Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
[Total] (Total) Total	Total_Total_Total	Numeric	Number	-
[Total] (Total) Males	Total_Total_Males	Numeric	Number	-
[Total] (Total) Females	Total_Total_Females	Numeric	Number	-
[Total] (15 - 24 Years) Total	Total_15_24Years_Total	Numeric	Number	-
[Total] (15 - 24 Years) Males	Total_15_24Years_Males	Numeric	Number	-
[Total] (15 - 24 Years) Females	Total_15_24Years_Females	Numeric	Number	-
[Total] (25 - 34 Years) Total	Total_25_34Years_Total	Numeric	Number	-
[Total] (25 - 34 Years) Males	Total_25_34Years_Males	Numeric	Number	-
[Total] (25 - 34 Years) Females	Total_25_34Years_Females	Numeric	Number	-

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_6ce74ee5822089b435d3159c54d8caf7"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Resident Population Aged 15 Years and Over by Language Literate In, Age Group, Sex and Ethnic Group (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved December 25, 2025 from https://data.gov.sg/datasets/d_6ce74ee5822089b435d3159c54d8caf7/view

Data explorer

ResidentPopulationAged15YearsandOverbyLanguageLiterateInAgeGroupSexandEthnicGroupCensusofPopulation2020.csv (19 rows, 20.3 KB)

Column legend

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Sample OpenAPI query

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