Scheduled Aircraft And Transit Passengers, Monthly

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Data from Jan 2010 to Apr 2025

Last updated: 08 Jun 2025, 19:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: CIVIL AVIATION AUTHORITY OF SINGAPORE

Data Last Updated: 03/06/2025

Update Frequency: Monthly

Footnotes: Refers to Changi Airport only. Data covers scheduled passenger flight services from Changi Airport only. Other aircraft service types like non-scheduled and scheduled cargo are excluded. Local Airline refers to Singapore International Airlines (SQ), Silk Air (MI), Jetstar Asia (3K) and Scoot (TR). Foreign Airline refers to the airlines that are not included in 'Local Airline'.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M651521

Data explorer

ScheduledAircraftAndTransitPassengersMonthly.csv (6 rows, 9.1 KB)

Data Series Text	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	2015 Dec Numeric	2015 Nov Numeric	2015 Oct Numeric	2015 Sep Numeric	2015 Aug Numeric	2015 Jul Numeric	2015 Jun Numeric	2015 May Numeric	2015 Apr Numeric	2015 Mar Numeric	2015 Feb Numeric	2015 Jan Numeric	2014 Dec Numeric	2014 Nov Numeric	2014 Oct Numeric	2014 Sep Numeric	2014 Aug Numeric	2014 Jul Numeric	2014 Jun Numeric	2014 May Numeric	2014 Apr Numeric	2014 Mar Numeric	2014 Feb Numeric	2014 Jan Numeric	2013 Dec Numeric	2013 Nov Numeric	2013 Oct Numeric	2013 Sep Numeric	2013 Aug Numeric	2013 Jul Numeric	2013 Jun Numeric	2013 May Numeric	2013 Apr Numeric	2013 Mar Numeric	2013 Feb Numeric	2013 Jan Numeric	2012 Dec Numeric	2012 Nov Numeric	2012 Oct Numeric	2012 Sep Numeric	2012 Aug Numeric	2012 Jul Numeric	2012 Jun Numeric	2012 May Numeric	2012 Apr Numeric	2012 Mar Numeric	2012 Feb Numeric	2012 Jan Numeric	2011 Dec Numeric	2011 Nov Numeric	2011 Oct Numeric	2011 Sep Numeric	2011 Aug Numeric	2011 Jul Numeric	2011 Jun Numeric	2011 May Numeric	2011 Apr Numeric	2011 Mar Numeric	2011 Feb Numeric	2011 Jan Numeric	2010 Dec Numeric	2010 Nov Numeric	2010 Oct Numeric	2010 Sep Numeric	2010 Aug Numeric	2010 Jul Numeric	2010 Jun Numeric	2010 May Numeric	2010 Apr Numeric	2010 Mar Numeric	2010 Feb Numeric	2010 Jan Numeric
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Foreign Airline - Transit Passengers	46112	40075	42222	52925	47632	43848	52896	56126	57396	58889	52161	47038	41395	41023	37791	44703	40276	38586	45652	51347	52837	54637	46238	45000	42503	39100	36224	40427	38174	38179	34246	34262	38873	41412	26094	19823	15568	6614	2618	3478	4609	2979	2819	2297	2017	2216	2642	1878	1463	250	94	99	173	99	17	30	60	305	55	0	2073	29958	40906	56965	49907	48292	58284	60570	62124	70612	61214	58442	55574	47321	44407	63793	55396	49776	65749	72299	74552	81017	68288	56592	56701	49716	42468	63808	54491	46331	59519	64981	61941	69915	55596	45352	45326	43770	39887	58233	52005	41632	52525	46304	46070	49593	41513	37557	43247	43122	35993	50679	44988	37484	46587	51475	54318	58494	47891	51744	58259	51980	45628	63953	56008	48460	61198	69031	79871	86186	68118	68713	68330	63040	60097	74842	63091	57527	71433	77646	79761	83597	70677	65595	67337	104167	96043	113130	107322	94084	108849	119237	117978	121840	110863	102402	107897	98353	83533	98587	90314	81933	98109	106541	101756	112627	93241	85912	88143	83018	78291	93770	86284	80434	98298	98549	100721	111608	96402	87598	79483	83225	85211	105048
Foreign Airline - Aircraft Arrivals	6647	6771	6288	7114	7139	6502	6700	6415	6710	6687	6495	6479	6268	6623	6281	6432	6614	5947	6167	6036	6408	6406	6880	6056	5751	5505	4707	5161	5055	4484	3860	3432	3384	3226	2482	2140	1501	1052	836	938	941	566	478	445	426	442	391	443	502	482	431	506	521	438	446	426	425	390	272	151	191	2638	4909	6728	6741	6396	6514	6350	6538	6550	6307	6360	6465	6674	6228	6856	6862	6670	7080	6792	7065	7037	6818	6979	6850	6956	6276	6920	6872	6584	6783	6497	6767	6829	6529	6670	6488	6604	6040	6725	6743	6280	6523	6219	6365	6422	6084	6367	6202	6397	6137	6418	6415	6040	6246	6065	6285	6132	5941	6126	5948	5990	5606	6013	6193	5840	5856	5439	5789	5708	5739	5965	5866	5989	5640	6390	6476	6184	6173	6057	6313	6152	6062	6159	5950	6196	5673	6211	6321	5953	6038	5757	6033	5982	5879	6081	5962	6140	5712	6209	6255	5849	5955	5713	5819	5945	5754	5673	5443	5416	4888	5300	5205	4879	4958	4762	4884	4900	4662	4796	4611	4625	4250	4700
Foreign Airline - Aircraft Departures	6636	6776	6286	7108	7138	6499	6700	6412	6710	6691	6495	6478	6269	6627	6279	6428	6625	5932	6169	6034	6405	6403	6883	6050	5748	5501	4707	5154	5053	4483	3855	3427	3375	3223	2474	2138	1500	1048	830	932	935	574	474	445	426	448	412	456	496	490	436	512	523	450	451	423	425	392	274	170	189	2652	4917	6720	6743	6387	6510	6346	6543	6550	6294	6357	6466	6674	6229	6850	6856	6670	7076	6785	7073	7035	6814	6977	6857	6958	6280	6911	6882	6582	6781	6488	6773	6825	6534	6663	6487	6599	6033	6723	6741	6275	6518	6218	6361	6431	6084	6361	6203	6398	6137	6409	6420	6041	6242	6067	6281	6140	5937	6130	5948	6000	5603	6013	6195	5842	5856	5446	5786	5703	5742	5958	5863	5996	5638	6388	6475	6180	6176	6059	6308	6150	6065	6157	5948	6206	5671	6209	6324	5952	6035	5765	6024	5985	5873	6080	5954	6145	5712	6214	6252	5843	5948	5716	5816	5943	5748	5672	5437	5419	4883	5302	5208	4867	4956	4764	4886	4902	4656	4796	4609	4622	4239	4706
Local Airline - Transit Passengers	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	292	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	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
Local Airline - Aircraft Arrivals	8037	8137	7507	8482	8457	7983	8021	7650	7941	7876	7636	7655	7360	7579	7139	7612	7528	7158	7261	6890	7010	6996	6873	6628	6278	6301	5619	6255	6153	5760	5410	5108	5141	5098	4848	4646	4281	3558	3011	3183	2952	2358	2230	2121	2151	2163	1867	1797	1581	1525	1332	1379	1257	801	601	549	470	353	302	225	204	4565	7554	9174	9181	8652	8764	8527	8904	8920	8656	8731	8556	8731	8049	8772	9029	8484	8605	8199	8643	8611	8386	8450	8393	8526	7788	8590	8791	8204	8359	8016	8361	8405	8209	8212	8064	8075	7365	8383	8476	7815	8046	7686	8013	8220	7859	8019	7776	7863	7491	7968	8163	7568	7790	7425	7813	7859	7625	7675	7464	7639	6997	7668	7902	7339	7555	7262	7592	7625	7581	7746	7584	7771	7060	8026	8230	7738	7733	7355	7673	7541	7263	7243	7061	7141	6586	7117	7335	6973	6902	6620	6780	6719	6612	6566	6414	6467	5944	6799	6664	6190	6239	6101	6148	6105	5856	5958	5772	5805	5312	5824	5793	5396	5348	5290	5426	5506	5332	5381	5156	5311	4881	5270
Local Airline - Aircraft Departures	8039	8149	7505	8490	8460	7995	8011	7659	7952	7863	7636	7666	7362	7594	7143	7616	7538	7166	7252	6898	7015	6994	6886	6615	6283	6309	5625	6250	6148	5757	5413	5111	5129	5092	4859	4640	4244	3528	2878	3050	2815	2210	2066	1973	2073	2067	1792	1720	1492	1419	1239	1284	1175	743	575	525	446	335	278	195	181	4465	7537	9189	9173	8665	8763	8548	8912	8930	8676	8756	8556	8758	8050	8776	9038	8510	8593	8203	8664	8614	8397	8454	8394	8539	7787	8576	8797	8211	8351	8022	8362	8395	8224	8201	8068	8086	7363	8378	8478	7825	8025	7704	7997	8230	7858	8017	7785	7865	7476	7976	8170	7569	7797	7429	7800	7870	7626	7681	7464	7650	6992	7670	7897	7349	7556	7257	7593	7643	7573	7753	7586	7753	7059	8035	8225	7749	7731	7353	7684	7529	7262	7265	7048	7148	6591	7121	7326	6992	6885	6625	6786	6714	6620	6564	6413	6479	5929	6799	6678	6184	6236	6112	6147	6110	5863	5952	5779	5812	5312	5826	5803	5397	5352	5290	5418	5518	5329	5379	5163	5309	4879	5282

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	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	-
2024 Aug	2024Aug	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_a430153d90c8c0ad964fa822bd1d6b2b"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

ScheduledAircraftAndTransitPassengersMonthly.csv (6 rows, 9.1 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

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