Employment Services (Year-To-Date), Monthly

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Data explorer

EmploymentServicesYearToDateMonthly.csv (8 rows, 7.1 KB)

Data Series Text	2025 May Numeric	2025 Apr Numeric	2025 Mar Numeric	2025 Feb Numeric	2025 Jan Numeric	2024 Dec Numeric	2024 Nov Numeric	2024 Oct Numeric	2024 Sep Numeric	2024 Aug Numeric	2024 Jul Numeric	2024 Jun Numeric	2024 May Numeric	2024 Apr Numeric	2024 Mar Numeric	2024 Feb Numeric	2024 Jan Numeric	2023 Dec Numeric	2023 Nov Numeric	2023 Oct Numeric	2023 Sep Numeric	2023 Aug Numeric	2023 Jul Numeric	2023 Jun Numeric	2023 May Numeric	2023 Apr Numeric	2023 Mar Numeric	2023 Feb Numeric	2023 Jan Numeric	2022 Dec Numeric	2022 Nov Numeric	2022 Oct Numeric	2022 Sep Numeric	2022 Aug Numeric	2022 Jul Numeric	2022 Jun Numeric	2022 May Numeric	2022 Apr Numeric	2022 Mar Numeric	2022 Feb Numeric	2022 Jan Numeric	2021 Dec Numeric	2021 Nov Numeric	2021 Oct Numeric	2021 Sep Numeric	2021 Aug Numeric	2021 Jul Numeric	2021 Jun Numeric	2021 May Numeric	2021 Apr Numeric	2021 Mar Numeric	2021 Feb Numeric	2021 Jan Numeric	2020 Dec Numeric	2020 Nov Numeric	2020 Oct Numeric	2020 Sep Numeric	2020 Aug Numeric	2020 Jul Numeric	2020 Jun Numeric	2020 May Numeric	2020 Apr Numeric	2020 Mar Numeric	2020 Feb Numeric	2020 Jan Numeric	2019 Dec Numeric	2019 Nov Numeric	2019 Oct Numeric	2019 Sep Numeric	2019 Aug Numeric	2019 Jul Numeric	2019 Jun Numeric	2019 May Numeric	2019 Apr Numeric	2019 Mar Numeric	2019 Feb Numeric	2019 Jan Numeric	2018 Dec Numeric	2018 Nov Numeric	2018 Oct Numeric	2018 Sep Numeric	2018 Aug Numeric	2018 Jul Numeric	2018 Jun Numeric	2018 May Numeric	2018 Apr Numeric	2018 Mar Numeric	2018 Feb Numeric	2018 Jan Numeric	2017 Dec Numeric	2017 Nov Numeric	2017 Oct Numeric	2017 Sep Numeric	2017 Aug Numeric	2017 Jul Numeric	2017 Jun Numeric	2017 May Numeric	2017 Apr Numeric	2017 Mar Numeric	2017 Feb Numeric	2017 Jan Numeric	2016 Dec Numeric	2016 Nov Numeric	2016 Oct Numeric	2016 Sep Numeric	2016 Aug Numeric	2016 Jul Numeric	2016 Jun Numeric	2016 May Numeric	2016 Apr Numeric	2016 Mar Numeric	2016 Feb Numeric	2016 Jan Numeric
(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)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)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)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%
Jobseekers Assisted	35512	29170	22820	15315	7034	67930	62719	56863	51013	44900	38895	32446	26798	21348	15336	10714	6078	66055	62768	58913	54112	50422	43304	37159	31343	25240	19861	12532	5526	62681	59532	54576	49744	43590	38214	32767	27138	22048	17651	11445	6976	73428	69481	65956	62147	57567	51761	46214	39932	34282	27927	19429	12128	74822	67479	61374	54432	46698	38751	32351	22239	16908	12851	7989	4069	45431	42200	39243	35674	32312	28912	25277	22417	18790	14485	7253	3646	38517	36217	33912	31332	28862	26155	22598	20304	16595	12284	7597	4347	35367	32737	29744	26408	23142	19872	16970	14349	11285	8507	5409	2410	25830	23878	21946	19972	18044	15717	13408	11278	8941	6702	4344	2319
Male	17392	14232	11049	7395	3413	34637	32093	29135	26288	22928	19958	16689	13805	11021	8008	5598	3132	34165	32467	30426	27844	25891	22300	19088	16031	12864	10032	6284	2712	31728	30152	27646	25179	22094	19396	16640	13722	11252	8980	5899	3584	38034	35824	33991	32002	29523	26144	23366	19926	16877	13806	9618	6012	38777	35326	32391	29039	25173	21069	17736	12209	9126	6813	4164	2068	24326	22491	20899	19009	17151	15346	13402	11829	9872	7596	4014	1806	20657	19475	18238	16829	15481	13991	12161	10936	8929	6459	3786	2213	18478	17064	15487	13772	12199	10541	9040	7637	6000	4533	2878	1257	14002	12947	11892	10764	9768	8465	7250	6093	4770	3569	2333	1255
Female	17276	14339	11098	7624	3423	33255	30589	27700	24704	21953	18921	15749	12985	10320	7324	5114	2945	31883	30253	28448	26236	24500	20973	18042	15283	12347	9802	6223	2795	30873	29305	26859	24498	21430	18745	16066	13356	10737	8615	5501	3351	35366	33638	31954	30145	28044	25617	22848	20006	17405	14121	9811	6116	36043	32151	28981	25391	21523	17681	14615	10030	7782	6038	3825	2001	21104	19708	18343	16664	15160	13565	11874	10587	8917	6888	3239	1840	17859	16742	15674	14503	13381	12164	10437	9368	7666	5825	3811	2134	16884	15669	14253	12632	10939	9327	7926	6708	5285	3974	2531	1153	11828	10931	10054	9208	8276	7252	6158	5185	4171	3133	2011	1064
Unknown	844	599	673	296	198	38	37	28	21	19	16	8	8	7	4	2	1	7	48	39	32	31	31	29	29	29	27	25	19	80	75	71	67	66	73	61	60	59	56	45	41	28	19	11	0	0	0	0	0	0	0	0	0	2	2	2	2	2	1	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	5	4	4	4	4	4	4	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Placements	20435	16140	11847	7836	3104	41764	38701	34660	30665	26727	22528	18440	14780	10942	7533	4917	2039	39460	37238	34769	32050	28146	26034	21951	17778	14261	10066	5838	2193	38276	36329	32889	29662	25811	22341	19144	15588	12246	9028	5589	2461	43211	40172	37059	33212	29240	25245	20668	15249	10829	6342	4122	2610	24840	23077	20632	17696	14640	11928	9978	7830	6263	4822	3284	1717	20083	18514	16767	14516	12988	11289	9825	8305	6671	4574	2637	1581	19214	17961	16943	15670	14428	13028	11666	10550	8241	5629	3369	1795	15380	14566	12983	10972	9435	8081	6702	5371	3990	2969	2120	949	14428	13599	12620	11415	10355	9060	8123	6692	5321	3970	2700	1470
Male	10538	8398	6343	4282	1599	21675	20024	17945	15956	13825	11690	9589	7804	5849	4064	2701	1141	20083	18936	17765	16341	14326	13144	10971	8935	7172	4997	2878	1036	19469	18480	16697	14993	13053	11354	9776	7938	6343	4669	2942	1272	22603	20860	19197	17079	14893	12725	10417	7584	5403	3219	2079	1282	13751	12944	11740	10041	8330	6795	5689	4562	3647	2803	1947	997	11554	10654	9603	8389	7624	6671	5799	4886	3919	2674	1455	870	10827	10166	9637	8935	8249	7488	6717	6103	4814	3180	1720	928	8331	7863	6972	5912	5201	4454	3701	2966	2189	1664	1196	537	8022	7553	7011	6318	5759	5053	4540	3784	3009	2263	1558	832
Female	9759	7662	5471	3537	1505	20085	18674	16712	14706	12899	10835	8848	6974	5091	3467	2216	898	19377	18290	16993	15698	13809	12879	10969	8833	7079	5066	2959	1157	18800	17843	16187	14666	12756	10986	9368	7650	5903	4359	2647	1189	20608	19312	17862	16133	14347	12520	10251	7665	5426	3123	2043	1328	11089	10133	8892	7655	6310	5133	4289	3268	2616	2019	1337	720	8529	7860	7164	6127	5364	4618	4026	3419	2752	1900	1182	711	8387	7795	7306	6735	6179	5540	4949	4447	3427	2449	1649	867	7049	6703	6011	5060	4234	3627	3001	2405	1801	1305	924	412	6406	6046	5609	5097	4596	4007	3583	2908	2312	1707	1142	638
Unknown	138	80	33	17	0	4	3	3	3	3	3	3	2	2	2	0	0	0	12	11	11	11	11	11	10	10	3	1	0	7	6	5	3	2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2025 May	2025May	Numeric	Number	-
2025 Apr	2025Apr	Numeric	Number	-
2025 Mar	2025Mar	Numeric	Number	-
2025 Feb	2025Feb	Numeric	Number	-
2025 Jan	2025Jan	Numeric	Number	-
2024 Dec	2024Dec	Numeric	Number	-
2024 Nov	2024Nov	Numeric	Number	-
2024 Oct	2024Oct	Numeric	Number	-
2024 Sep	2024Sep	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_473a7a55385ca4a3597bc674a79ffe67"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

EmploymentServicesYearToDateMonthly.csv (8 rows, 7.1 KB)

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Sample OpenAPI query

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