20.2.1.47. Number of employees by economic branches, monthly, monthly cumulative and quarterly cumulative data

Period		Economic branches together	Out of which:																						Economic branches together – without fostered workers	Out of which:
			Agriculture, forestry and fishing	Mining and quarrying	Manufacturing	Electricity, gas, steam and air conditioning supply	Water supply; sewerage, waste management and remediation activities	Manufacturing, mining and other industry	Construction	Wholesale and retail trade; repair of motor vehicles and motorcycles	Transportation and storage	Accommodation and food service activities	Information and communication	Financial and insurance activities	Real estate activities	Professional, scientific and technical activities	Administrative and support service activities	Public administration and defence; compulsory social security	Education	Human health and social work activities	Human health activities	Social work activities	Arts, entertainment and recreation	Other service activities		Public administration and defence; compulsory social security	Education	Human health and social work activities	out of which:
			Agriculture, forestry and fishing	Mining and quarrying	Manufacturing	Electricity, gas, steam and air conditioning supply		Manufacturing, mining and other industry	Construction		Transportation and storage	Accommodation and food service activities	Information and communication	Financial and insurance activities	Real estate activities	Professional, scientific and technical activities	Administrative and support service activities		Education	Human health and social work activities	Human health activities	Social work activities	Arts, entertainment and recreation	Other service activities			Education	Human health and social work activities	Human health activities	Social work activities
		A–S	A	B	C	D	E	B+C+D+E	F	G	H	I	J	K	L	M	N	O	P	Q	QA	QB	R	S	A–S	O	P	Q	QA	QB
Number of employees, thousands
Monthly data
2019	January	3,557.9	89.0	4.2	747.0	24.6	44.8	820.6	185.5	488.9	233.1	127.9	104.8	70.0	44.2	169.9	207.2	273.7	295.9	330.5	142.7	187.9	59.0	57.5	3,441.9	263.3	294.7	240.3	142.4	97.9
	February	3,570.3	89.8	4.2	749.6	24.5	45.0	823.3	189.2	489.9	234.2	128.3	104.5	69.7	44.6	170.6	210.4	272.8	296.1	330.2	143.1	187.1	59.1	57.6	3,455.3	262.5	294.9	240.8	142.8	98.0
	March	3,560.7	90.3	4.3	750.0	24.6	44.7	823.5	194.1	491.0	233.5	130.5	104.3	69.1	45.1	171.5	207.0	269.0	295.5	320.6	143.1	177.5	58.6	57.1	3,461.5	260.3	294.6	241.4	142.9	98.5
	April	3,579.9	91.5	4.3	749.9	24.3	45.1	823.7	198.2	491.1	234.9	132.9	104.8	69.6	45.8	172.1	207.8	269.6	296.3	324.5	143.2	181.4	59.5	57.7	3,475.2	260.5	295.3	242.0	143.0	99.0
	May	3,578.1	91.5	4.3	745.0	24.4	45.1	818.8	200.2	493.8	234.0	134.6	104.4	69.0	46.4	172.7	207.5	268.0	295.9	323.8	143.0	180.8	59.6	57.8	3,473.8	259.0	295.0	241.6	142.8	98.8
	June	3,565.9	92.0	4.4	739.7	24.3	44.9	813.2	201.9	492.0	232.5	136.5	104.0	67.6	46.8	171.9	205.4	267.5	294.6	322.7	142.7	180.0	59.6	57.6	3,462.6	258.6	293.7	241.3	142.5	98.8
	July	3,579.8	92.0	4.4	738.0	23.9	44.9	811.2	203.1	493.1	232.9	139.6	104.5	67.6	47.4	171.9	205.4	278.6	291.6	322.3	143.1	179.3	60.8	57.8	3,478.6	269.8	290.8	242.4	142.9	99.6
	August	3,575.0	91.8	4.4	734.2	23.9	44.8	807.3	203.0	492.8	232.7	139.9	104.2	67.2	47.4	172.0	206.8	278.2	290.4	322.5	143.4	179.1	61.1	57.8	3,474.3	269.6	289.6	242.7	143.3	99.4
	September	3,570.2	91.3	4.4	735.6	23.9	44.7	808.6	203.4	492.1	233.0	136.5	104.4	67.1	47.2	173.6	207.7	269.1	294.9	323.7	144.0	179.7	59.9	57.7	3,468.6	260.8	294.1	242.9	143.9	99.0
	October	3,579.6	91.2	4.4	734.7	23.9	44.7	807.7	205.2	496.5	233.2	135.5	105.0	66.9	47.8	173.6	210.1	268.9	294.8	325.0	144.5	180.5	60.0	58.2	3,477.5	260.7	294.0	243.5	144.3	99.2
	November	3,579.7	90.5	4.4	734.7	23.9	44.8	807.8	205.3	497.4	233.9	135.8	105.2	65.7	48.7	173.9	209.2	269.0	294.8	324.7	144.4	180.2	59.8	58.0	3,478.1	260.9	294.0	243.6	144.3	99.3
	December	3,572.1	90.1	4.3	731.1	23.8	44.7	803.9	202.0	498.1	233.7	136.0	105.7	66.4	48.4	175.3	208.4	269.0	294.1	322.9	144.7	178.1	60.0	58.2	3,473.3	261.0	293.4	243.8	144.6	99.3
2020	January	3,524.7	87.4	4.5	724.8	23.2	44.0	796.4	199.0	488.1	230.8	134.2	106.5	64.8	47.5	173.0	200.2	267.1	295.0	319.8	144.3	175.5	57.8	57.2	3,428.6	259.2	294.2	242.6	144.1	98.5
	February	3,534.9	87.5	4.5	727.7	23.2	44.1	799.5	201.1	487.1	231.2	134.1	109.3	65.8	47.9	175.3	199.6	266.9	294.7	320.0	144.4	175.7	57.9	57.1	3,439.3	259.2	293.9	243.0	144.2	98.8
	March	3,475.1	87.5	4.5	722.4	23.2	43.9	794.0	199.7	477.8	226.9	122.1	108.6	65.9	46.4	174.4	194.4	266.2	293.8	306.0	142.7	163.3	57.3	54.3	3,396.4	259.8	293.3	241.6	142.6	99.0
	April	3,325.7	86.9	4.5	697.9	23.1	43.6	769.1	192.3	441.7	219.0	90.7	107.4	65.3	43.0	167.9	176.3	266.8	291.4	303.8	136.6	167.2	54.6	49.4	3,240.4	259.8	290.8	234.3	136.4	97.9
	May	3,294.4	86.7	4.5	686.8	23.1	43.7	758.1	193.0	438.7	218.2	86.4	108.0	64.9	42.2	166.2	169.4	267.8	289.8	302.8	134.7	168.1	53.8	48.4	3,207.3	260.6	289.2	232.0	134.5	97.4
	June	3,338.7	87.1	4.4	691.4	23.2	44.0	763.1	195.7	450.1	219.9	96.1	108.3	66.1	43.2	166.5	169.6	268.9	290.5	308.9	137.4	171.6	54.8	49.8	3,248.2	261.4	289.9	235.4	137.2	98.2
	July	3,407.6	88.1	4.4	695.4	23.4	44.3	767.5	199.9	464.3	223.0	109.1	109.6	66.2	45.0	169.3	174.8	279.0	288.3	314.4	140.7	173.7	56.7	52.5	3,315.2	271.3	287.7	239.4	140.5	98.9
	August	3,446.5	88.5	4.4	700.1	23.4	44.1	772.0	203.1	471.9	223.9	118.8	109.9	64.6	45.9	171.1	179.4	281.3	288.6	315.6	141.7	173.9	58.1	53.7	3,353.7	273.3	288.0	240.8	141.5	99.2
	September	3,475.6	88.7	4.4	705.5	23.4	44.2	777.4	205.2	477.8	224.7	120.7	110.7	65.9	46.5	174.1	185.1	273.8	295.8	317.0	142.9	174.0	58.0	54.2	3,382.4	265.6	295.2	241.8	142.8	99.0
	October	3,493.7	88.9	4.3	710.2	23.3	44.3	782.1	206.6	480.6	226.6	119.5	111.8	66.0	46.6	175.6	189.7	274.2	296.0	317.4	143.2	174.2	57.7	54.3	3,399.8	265.8	295.4	242.0	143.1	98.9
	November	3,505.6	88.6	4.3	715.3	23.2	44.2	787.1	206.6	483.0	227.3	116.5	112.7	66.3	46.8	177.0	193.9	274.4	296.2	317.8	143.2	174.6	57.1	54.2	3,411.5	266.0	295.6	242.3	143.0	99.2
	December	3,491.5	87.6	4.2	712.7	23.3	44.4	784.6	202.5	482.5	227.0	112.8	113.2	66.6	46.3	177.7	192.7	274.5	296.4	315.6	142.6	173.0	56.4	55.1	3,399.0	266.2	295.7	241.4	142.5	98.9
2021	January	3,477.4	85.5	4.4	715.4	22.9	43.7	786.4	200.6	476.4	226.3	112.5	116.6	66.5	42.3	177.6	192.9	273.7	295.7	312.4	142.8	169.6	56.9	55.2	3,387.2	265.5	295.1	240.3	142.7	97.7
	February	3,502.1	85.6	4.4	723.4	23.0	43.7	794.4	203.9	478.5	227.2	111.9	117.9	67.6	42.6	178.1	196.8	274.4	296.2	314.5	144.3	170.1	56.9	55.6	3,412.0	266.2	295.6	242.4	144.2	98.2
	March	3,504.1	85.9	4.3	726.4	23.0	43.6	797.4	208.6	478.3	226.7	111.5	118.6	67.0	43.1	179.4	196.8	272.2	296.8	310.1	143.6	166.5	56.9	54.9	3,420.9	265.4	296.3	241.9	143.5	98.4
	April	3,516.6	86.3	4.4	727.2	23.0	43.6	798.1	211.3	477.1	226.6	111.0	119.4	67.2	43.1	180.4	200.2	272.4	297.6	314.1	144.2	169.9	56.8	55.1	3,428.2	265.1	297.0	241.9	144.0	97.9
	May	3,534.5	86.4	4.4	729.1	23.0	43.5	800.0	212.8	480.7	227.0	116.9	119.9	67.0	42.7	180.2	201.7	272.3	298.7	315.2	144.9	170.3	57.2	55.6	3,445.5	265.0	298.2	242.6	144.8	97.8
	June	3,557.7	87.0	4.4	730.9	23.1	43.6	802.1	215.4	483.9	227.4	122.8	121.4	67.5	43.4	181.9	203.3	272.6	298.8	316.1	145.7	170.4	57.8	56.2	3,469.0	265.3	298.2	243.7	145.6	98.1
	July	3,579.2	87.3	4.4	731.7	23.3	43.7	803.0	216.5	486.3	227.9	128.7	122.2	67.3	43.9	182.7	205.7	281.6	293.9	315.2	146.3	168.9	59.8	57.0	3,492.7	274.5	293.4	244.7	146.2	98.5
	August	3,574.6	87.0	4.4	730.5	23.3	43.4	801.6	217.5	487.1	227.6	130.3	121.9	65.4	44.2	183.4	206.0	278.4	293.4	313.8	146.7	167.2	60.1	57.1	3,489.4	271.4	292.9	244.4	146.5	97.9
	September	3,588.3	87.1	4.4	732.8	26.8	40.7	804.7	220.7	490.4	227.6	130.4	122.9	67.8	44.2	184.8	205.6	271.7	299.4	314.9	147.7	167.2	59.3	56.5	3,504.0	264.9	298.8	245.9	147.6	98.4
	October	3,600.8	87.0	4.4	735.1	26.8	40.8	807.1	221.4	493.8	227.3	131.2	123.4	68.2	44.7	185.8	207.6	272.0	299.3	315.3	147.8	167.5	59.8	56.8	3,516.2	265.2	298.8	246.3	147.6	98.6
	November	3,611.8	86.7	4.4	736.8	26.8	41.0	809.0	221.9	496.9	227.5	132.4	124.6	68.5	44.8	187.3	207.6	272.0	299.5	316.1	148.1	168.0	59.9	57.0	3,526.9	265.2	299.0	246.8	147.9	98.9
	December	3,608.0	86.0	4.2	734.2	26.9	40.9	806.1	219.4	497.8	227.3	132.9	125.3	68.7	45.1	188.4	207.7	271.8	299.1	315.4	148.3	167.2	61.7	55.3	3,524.2	265.0	298.6	247.1	148.1	99.0
2022	January	3,583.6	83.3	4.1	734.5	26.8	40.8	806.1	219.0	492.6	227.0	131.5	122.3	68.2	44.7	183.3	208.1	271.0	298.6	311.5	147.7	163.8	61.1	55.3	3,501.9	264.2	298.1	245.2	147.5	97.6
	February	3,600.7	83.4	4.1	738.1	26.8	40.8	809.8	221.3	493.9	227.0	132.0	125.3	68.6	44.7	185.1	211.3	270.6	297.7	312.9	148.2	164.7	61.4	55.8	3,518.8	263.8	297.1	246.3	148.1	98.2
	March	3,613.3	83.9	4.2	741.1	26.9	40.9	812.9	224.2	496.1	227.3	133.7	126.4	68.6	45.2	186.9	212.5	269.6	297.9	310.6	149.1	161.4	61.6	55.8	3,536.2	263.4	297.4	247.4	149.0	98.3
	April	3,629.0	84.4	4.2	741.8	26.9	40.9	813.7	226.8	498.2	227.5	135.7	125.6	68.9	45.5	188.3	214.4	269.9	299.6	312.4	149.3	163.2	62.1	56.1	3,549.8	263.4	299.1	247.8	149.1	98.7
	May	3,632.0	84.4	4.2	739.8	26.9	40.9	811.8	227.2	499.3	227.9	138.4	126.1	69.0	45.9	189.0	213.3	269.2	299.5	312.4	149.4	163.0	62.4	56.3	3,553.0	262.7	299.0	247.9	149.3	98.6
	June	3,634.4	84.7	4.2	738.3	26.9	40.6	810.0	227.8	501.4	227.7	141.2	126.3	68.9	46.2	189.7	213.0	268.6	299.0	311.5	149.3	162.2	62.2	56.4	3,556.5	262.4	298.5	247.8	149.2	98.7
	July	3,642.3	85.3	4.2	736.8	26.0	40.8	807.9	228.5	502.9	227.3	145.4	126.8	68.9	46.7	190.2	212.0	274.3	296.5	309.8	149.4	160.3	63.3	56.6	3,567.2	268.2	296.0	248.5	149.3	99.2
	August	3,635.4	84.8	4.2	734.6	27.0	40.9	806.6	227.4	502.2	226.9	145.5	127.1	68.9	46.7	190.9	212.0	272.8	295.4	308.0	149.5	158.5	63.5	56.5	3,562.4	266.8	295.0	248.4	149.4	99.0
	September	3,659.2	84.8	4.2	739.5	27.1	40.9	811.6	230.1	505.7	227.4	144.0	129.6	69.7	46.9	197.1	213.8	268.2	306.1	304.9	151.3	153.5	63.2	56.3	3,592.6	262.4	305.8	250.5	151.2	99.3
	October	3,672.3	84.7	4.2	742.1	27.1	40.6	814.0	231.0	507.8	229.0	142.2	130.5	70.3	47.2	198.9	215.7	267.9	306.7	305.9	152.0	153.9	63.4	57.0	3,605.4	262.1	306.4	251.3	151.9	99.4
	November	3,677.7	84.4	4.2	742.8	27.3	41.0	815.2	230.8	507.1	229.1	139.6	131.4	70.5	49.3	200.3	217.8	267.5	307.1	307.6	152.5	155.1	63.2	56.8	3,610.5	261.7	306.7	252.8	152.4	100.4
	December	3,670.7	82.8	4.2	739.5	27.4	41.0	811.9	226.7	507.5	228.9	140.9	131.8	70.7	47.7	202.2	217.0	267.0	307.1	308.4	152.8	155.6	63.1	56.9	3,603.0	261.2	306.7	253.1	152.7	100.4
2023	January	3,642.4	82.1^a	3.9	740.2	27.1	40.5^b	811.7^c	223.5^d	499.2	227.6^e	139.3^f	131.1^g	70.8^h	46.2ⁱ	197.2^j	216.7^k	266.3^l	306.9^m	306.0ⁿ	152.4^o	153.6^p	62.3^q	55.4^r	3,575.7	260.6^s	306.5^t	251.4^u	152.3^v	99.1^w
	February	3,655.6	82.5^x	4.0	745.1	27.2	40.9^y	817.1^z	223.2^aa	499.7	227.0^ab	139.4^ac	132.1^ad	71.0^ae	46.5^af	198.8^ag	219.3^ah	266.3^ai	307.2^aj	307.0^ak	153.0^al	153.9^am	62.4^an	56.0^ao	3,589.1	260.6^ap	306.9^aq	252.7^ar	153.0^as	99.7^at
	March	3,665.2	83.0	4.0	747.3	27.3	40.8	819.4	225.2	500.9	227.7	140.5	132.7	71.3	47.1	200.2	218.6	265.1	307.7	306.6	153.2	153.5	62.7	56.4	3,600.4	259.9	307.4	253.1	153.1	100.0
	April
	May
	June
	July
	August
	September
	October
	November
	December
Monthly cumulative data
2023	January–January	3,642.4	82.1^a	3.9	740.2	27.1	40.5^b	811.7^c	223.5^d	499.2	227.6^e	139.3^f	131.1^g	70.8^h	46.2ⁱ	197.2^j	216.7^k	266.3^l	306.9^m	306.0ⁿ	152.4^o	153.6^p	62.3^q	55.4^r	3,575.7	260.6^s	306.5^t	251.4^u	152.3^v	99.1^w
	January–February	3,649.0	82.3^au	3.9	742.6	27.2	40.7^av	814.4^aw	223.4^ax	499.4	227.3^ay	139.3^az	131.6^ba	70.9^bb	46.3^bc	198.0^bd	218.0^be	266.3^bf	307.0^bg	306.5^bh	152.7^bi	153.8^bj	62.3^bk	55.7^bl	3,582.4	260.6^bm	306.7^bn	252.1^bo	152.7^bp	99.4^bq
	January–March	3,654.4	82.5	4.0	744.2	27.2	40.7	816.1	224.0	499.9	227.5	139.7	132.0	71.0	46.6	198.7	218.2	265.9	307.3	306.6	152.9	153.7	62.4	56.0	3,588.4	260.4	306.9	252.4	152.8	99.6
	January–April
	January–May
	January–June
	January–July
	January–Augustus
	January–September
	January–October
	January–November
	January–December
Quarterly cumulative data
2019	Q1	3,563.0	89.7	4.2	748.9	24.5	44.8	822.5	189.6	489.9	233.6	128.9	104.5	69.6	44.6	170.7	208.2	271.9	295.8	327.1	142.9	184.2	58.9	57.4	3,452.9	262.0	294.7	240.9	142.7	98.2
	Q1–2	3,568.8	90.7	4.3	746.9	24.4	44.9	820.5	194.9	491.1	233.7	131.8	104.5	69.1	45.5	171.4	207.6	270.1	295.7	325.4	143.0	182.4	59.2	57.5	3,461.7	260.7	294.7	241.3	142.7	98.5
	Q1–3	3,570.9	91.0	4.3	743.2	24.3	44.9	816.7	197.6	491.6	233.4	134.1	104.4	68.5	46.1	171.8	207.3	271.8	294.6	324.6	143.1	181.4	59.7	57.6	3,465.8	262.7	293.6	241.7	142.9	98.8
	Q1–4	3,572.4	90.9	4.3	740.8	24.2	44.8	814.1	199.3	493.1	233.5	134.5	104.7	68.0	46.7	172.4	207.8	271.1	294.6	324.5	143.5	181.0	59.8	57.7	3,468.4	262.2	293.7	242.2	143.3	98.9
2020	Q1	3,511.6	87.5	4.5	724.9	23.2	44.0	796.6	199.9	484.3	229.6	130.2	108.1	65.5	47.3	174.2	198.0	266.7	294.5	315.3	143.8	171.5	57.6	56.2	3,421.4	259.4	293.8	242.4	143.6	98.8
	Q1–2	3,415.6	87.2	4.5	708.5	23.2	43.9	780.0	196.8	463.9	224.3	110.6	108.0	65.4	45.0	170.5	184.9	267.3	292.6	310.2	140.0	170.2	56.0	52.7	3,326.7	260.0	291.9	238.2	139.8	98.3
	Q1–3	3,424.8	87.6	4.5	705.8	23.2	44.0	777.5	198.8	466.4	224.2	112.5	108.7	65.5	45.3	170.9	183.2	270.9	292.0	312.0	140.6	171.5	56.5	52.9	3,334.6	263.4	291.4	239.0	140.4	98.6
	Q1–4	3,442.8	87.8	4.4	707.5	23.2	44.1	779.2	200.4	470.3	224.9	113.4	109.7	65.7	45.6	172.4	185.4	271.7	293.1	313.3	141.2	172.1	56.7	53.3	3,351.8	264.0	292.4	239.7	141.0	98.7
2021	Q1	3,494.5	85.7	4.4	721.8	23.0	43.6	792.7	204.4	477.7	226.7	112.0	117.7	67.0	42.7	178.3	195.5	273.4	296.2	312.3	143.6	168.7	56.9	55.2	3,406.7	265.7	295.6	241.6	143.4	98.1
	Q1–2	3,515.4	86.1	4.4	725.4	23.0	43.6	796.4	208.8	479.1	226.9	114.4	119.0	67.1	42.9	179.6	198.6	272.9	297.3	313.7	144.3	169.5	57.1	55.4	3,427.1	265.4	296.7	242.1	144.1	98.0
	Q1–3	3,537.2	86.5	4.4	727.5	23.5	43.3	798.6	211.9	482.1	227.1	119.6	120.1	67.0	43.3	180.9	201.0	274.4	296.7	314.0	145.1	168.9	58.0	55.9	3,449.9	267.0	296.2	243.1	145.0	98.1
	Q1–4	3,554.6	86.5	4.4	729.5	24.3	42.7	800.8	214.2	485.6	227.2	122.7	121.2	67.4	43.7	182.5	202.7	273.8	297.4	314.4	145.9	168.6	58.6	56.0	3,468.0	266.6	296.8	244.0	145.7	98.3
2022	Q1	3,599.2	83.5	4.1	737.9	26.8	40.8	809.6	221.5	494.2	227.1	132.4	124.7	68.5	44.9	185.1	210.6	270.4	298.1	311.6	148.3	163.3	61.4	55.6	3,519.0	263.8	297.5	246.3	148.2	98.1
	Q1–2	3,615.5	84.0	4.2	738.9	26.8	40.8	810.7	224.4	496.9	227.4	135.4	125.3	68.7	45.4	187.0	212.1	269.8	298.7	311.9	148.8	163.1	61.8	55.9	3,536.0	263.3	298.2	247.1	148.7	98.4
	Q1–3	3,625.5	84.3	4.2	738.3	26.8	40.8	810.1	225.8	499.2	227.3	138.6	126.2	68.8	45.8	188.9	212.3	270.5	298.9	310.4	149.2	161.2	62.3	56.1	3,548.7	264.1	298.4	247.8	149.1	98.6
	Q1–4	3,637.6	84.3	4.2	739.1	26.9	40.8	811.0	226.7	501.2	227.7	139.2	127.4	69.3	46.4	191.8	213.4	269.7	300.9	309.6	150.0	159.6	62.6	56.3	3,563.1	263.5	300.5	248.9	149.9	99.0
2023	Q1	3,654.4	82.5	4.0	744.2	27.2	40.7	816.1	224.0	499.9	227.5	139.7	132.0	71.0	46.6	198.7	218.2	265.9	307.3	306.6	152.9	153.7	62.4	56.0	3,588.4	260.4	306.9	252.4	152.8	99.6
	Q1–2
	Q1–3
	Q1–4
Corresponding period of the previous year = 100.0%
Monhtly data
2019	January	100.7	96.7	112.2	101.5	99.3	98.7	101.4	108.1	101.8	100.3	104.2	103.7	102.4	96.7	105.1	103.7	96.6	100.4	93.8	100.0	89.6	102.2	96.3	101.9	98.8	100.5	100.8	100.1	101.8
	February	101.5	98.1	111.8	102.2	99.7	99.9	102.1	108.9	102.5	101.1	104.9	103.7	105.3	97.6	105.7	106.2	96.5	100.4	94.8	100.2	91.0	102.2	97.2	102.5	98.4	100.5	100.6	100.2	101.1
	March	100.9	98.8	111.6	101.7	99.9	99.4	101.5	109.7	102.5	101.3	105.7	102.3	102.1	98.1	104.8	103.8	95.4	100.3	93.1	100.0	88.2	101.0	96.8	102.1	96.9	100.4	100.6	100.1	101.5
	April	100.8	98.5	112.1	101.4	98.4	100.2	101.3	109.6	102.0	101.3	106.2	102.4	102.6	98.9	104.6	104.6	95.1	100.4	93.0	100.2	88.0	101.2	96.7	102.1	96.7	100.5	100.8	100.3	101.6
	May	100.6	97.7	111.5	101.0	98.6	100.0	100.9	109.1	102.5	101.0	105.6	101.7	102.1	99.1	104.7	103.7	94.5	100.3	93.2	100.1	88.3	100.6	96.2	101.8	96.0	100.4	100.6	100.2	101.1
	June	100.1	98.2	111.3	100.2	97.9	99.4	100.1	108.6	101.8	100.1	105.0	101.6	100.0	99.1	103.7	102.1	94.5	100.1	93.8	99.9	89.4	99.9	95.7	101.1	96.0	100.2	100.3	100.0	100.8
	July	100.5	98.7	110.6	99.9	96.2	99.7	99.9	108.2	101.5	100.5	105.3	102.4	100.2	99.8	103.1	102.5	96.5	100.0	96.2	100.0	93.3	101.4	99.4	101.1	96.8	100.1	100.3	100.1	100.6
	August	100.3	98.6	108.6	99.6	97.2	99.6	99.6	108.0	101.3	100.4	105.3	101.4	98.8	99.3	102.9	102.3	96.0	100.2	96.2	100.2	93.1	100.6	98.7	100.9	96.5	100.3	100.4	100.3	100.6
	September	100.6	99.5	107.8	99.8	96.8	99.3	99.7	108.3	102.1	100.4	105.5	101.9	98.1	101.1	105.0	99.7	96.1	100.1	97.3	101.5	94.2	101.5	102.8	101.2	96.7	100.2	101.2	101.5	100.7
	October	99.9	98.4	107.7	99.2	100.0	99.0	99.3	106.8	101.3	100.1	105.0	100.9	97.3	100.1	101.5	100.5	96.1	99.7	96.7	100.4	94.0	100.2	99.1	100.5	96.8	99.8	100.6	100.4	100.8
	November	99.9	98.4	107.6	98.8	99.6	99.2	98.9	107.2	101.1	100.2	105.3	101.1	96.3	102.1	101.2	101.0	96.6	99.5	96.4	100.3	93.5	99.8	98.6	100.4	97.3	99.7	100.3	100.3	100.2
	December	99.9	98.4	105.9	98.6	99.0	99.0	98.7	107.0	101.0	100.3	105.7	101.7	97.8	101.3	101.6	100.6	97.2	99.3	96.2	100.4	93.0	100.3	98.9	100.5	98.0	99.4	100.4	100.5	100.2
2020	January	99.1	98.2	106.8	97.0	94.2	98.3	97.1	107.3	99.8	99.0	104.9	101.6	92.5	107.4	101.9	96.6	97.6	99.7	96.8	101.1	93.4	97.8	99.5	99.6	98.4	99.8	100.9	101.2	100.6
	February	99.0	97.4	106.7	97.1	94.7	98.0	97.1	106.3	99.4	98.7	104.5	104.6	94.4	107.5	102.7	94.9	97.8	99.5	96.9	100.9	93.9	97.8	99.1	99.5	98.8	99.7	100.9	100.9	100.8
	March	97.6	97.0	106.6	96.3	94.3	98.2	96.4	102.9	97.3	97.1	93.6	104.1	95.4	102.8	101.7	93.9	99.0	99.4	95.5	99.8	92.0	97.8	94.9	98.1	99.8	99.5	100.1	99.8	100.5
	April	92.9	95.1	103.3	93.1	95.1	96.7	93.4	97.0	89.9	93.3	68.2	102.5	93.9	93.9	97.6	84.8	98.9	98.4	93.6	95.4	92.2	91.8	85.7	93.2	99.7	98.5	96.8	95.4	98.9
	May	92.1	94.7	103.9	92.2	94.8	97.0	92.6	96.4	88.9	93.2	64.2	103.4	94.0	91.0	96.3	81.6	99.9	97.9	93.5	94.2	93.0	90.2	83.8	92.3	100.6	98.0	96.0	94.2	98.6
	June	93.6	94.7	102.2	93.5	95.6	98.1	93.8	96.9	91.5	94.6	70.4	104.1	97.8	92.3	96.9	82.6	100.5	98.6	95.7	96.3	95.3	91.9	86.5	93.8	101.1	98.7	97.5	96.3	99.4
	July	95.2	95.8	100.6	94.2	97.6	98.7	94.6	98.4	94.2	95.7	78.1	104.9	98.0	94.8	98.5	85.1	100.2	98.9	97.5	98.3	96.9	93.4	90.7	95.3	100.5	98.9	98.7	98.4	99.3
	August	96.4	96.4	100.0	95.4	97.6	98.4	95.6	100.1	95.7	96.2	84.9	105.5	96.2	96.9	99.5	86.7	101.1	99.4	97.9	98.8	97.1	95.1	92.9	96.5	101.4	99.5	99.2	98.8	99.8
	September	97.3	97.2	99.7	95.9	97.8	98.9	96.1	100.9	97.1	96.5	88.4	106.1	98.2	98.5	100.3	89.1	101.7	100.3	97.9	99.2	96.9	96.7	93.9	97.5	101.9	100.4	99.6	99.2	100.1
	October	97.6	97.5	98.5	96.7	97.4	99.2	96.8	100.7	96.8	97.2	88.2	106.5	98.7	97.5	101.2	90.3	102.0	100.4	97.7	99.2	96.5	96.1	93.3	97.8	102.0	100.5	99.4	99.2	99.7
	November	97.9	97.9	98.4	97.4	97.2	98.6	97.4	100.6	97.1	97.2	85.8	107.1	100.8	96.3	101.8	92.7	102.0	100.5	97.9	99.2	96.9	95.5	93.5	98.1	102.0	100.5	99.5	99.2	99.9
	December	97.7	97.2	98.2	97.5	98.1	99.4	97.6	100.2	96.9	97.1	82.9	107.1	100.3	95.6	101.4	92.5	102.0	100.8	97.8	98.5	97.1	94.0	94.7	97.9	102.0	100.8	99.0	98.5	99.6
2021	January	98.7	97.8	98.0	98.7	99.0	99.2	98.7	100.8	97.6	98.1	83.8	109.5	102.6	89.1	102.6	96.4	102.5	100.2	97.7	99.0	96.6	98.4	96.4	98.8	102.4	100.3	99.1	99.0	99.1
	February	99.1	97.9	96.9	99.4	99.4	99.0	99.4	101.4	98.2	98.2	83.4	107.9	102.8	88.8	101.6	98.6	102.8	100.5	98.3	100.0	96.8	98.3	97.3	99.2	102.7	100.6	99.8	100.0	99.4
	March	100.8	98.2	95.9	100.6	99.3	99.3	100.4	104.5	100.1	100.0	91.3	109.2	101.7	93.0	102.9	101.3	102.2	101.0	101.3	100.6	101.9	99.3	101.3	100.7	102.1	101.0	100.1	100.6	99.4
	April	105.7	99.2	98.4	104.2	99.5	99.8	103.8	109.9	108.0	103.5	122.5	111.1	102.9	100.2	107.5	113.6	102.1	102.1	103.4	105.6	101.6	104.0	111.6	105.8	102.0	102.1	103.2	105.6	99.9
	May	107.3	99.7	97.5	106.2	99.6	99.6	105.5	110.3	109.6	104.0	135.2	111.0	103.4	101.2	108.4	119.1	101.7	103.1	104.1	107.6	101.3	106.3	114.8	107.4	101.7	103.1	104.6	107.6	100.4
	June	106.6	99.9	98.6	105.7	99.6	99.2	105.1	110.1	107.5	103.4	127.8	112.1	102.2	100.4	109.2	119.8	101.4	102.8	102.3	106.1	99.3	105.6	112.9	106.8	101.5	102.9	103.5	106.1	99.9
	July	105.0	99.1	99.2	105.2	99.8	98.6	104.6	108.3	104.7	102.2	118.0	111.5	101.7	97.7	107.9	117.7	100.9	101.9	100.3	104.0	97.3	105.4	108.6	105.4	101.2	102.0	102.2	104.0	99.7
	August	103.7	98.3	99.7	104.3	99.7	98.4	103.8	107.1	103.2	101.7	109.6	110.9	101.3	96.2	107.1	114.8	98.9	101.7	99.4	103.5	96.1	103.4	106.3	104.0	99.3	101.7	101.5	103.5	98.6
	September	103.2	98.2	101.4	103.9	114.6	92.2	103.5	107.6	102.6	101.3	108.0	111.1	103.0	95.1	106.1	111.1	99.2	101.2	99.4	103.3	96.1	102.3	104.3	103.6	99.7	101.2	101.7	103.3	99.3
	October	103.1	97.9	100.9	103.5	115.3	92.1	103.2	107.2	102.8	100.3	109.7	110.4	103.3	96.0	105.8	109.4	99.2	101.1	99.3	103.1	96.2	103.5	104.7	103.4	99.8	101.2	101.8	103.2	99.8
	November	103.0	97.9	101.2	103.0	115.4	92.8	102.8	107.4	102.9	100.1	113.6	110.6	103.4	95.7	105.8	107.1	99.1	101.1	99.4	103.4	96.2	104.8	105.2	103.4	99.7	101.1	101.9	103.4	99.7
	December	103.3	98.1	98.7	103.0	115.4	92.2	102.7	108.4	103.2	100.1	117.9	110.6	103.2	97.3	106.0	107.8	99.0	100.9	99.9	104.0	96.6	109.4	100.4	103.7	99.6	101.0	102.4	104.0	100.0
2022	January	103.1	97.4	93.2	102.7	116.8	93.5	102.5	109.2	103.4	100.3	116.9	104.9	102.5	105.6	103.2	107.9	99.0	101.0	99.7	103.4	96.6	107.4	100.2	103.4	99.5	101.0	102.0	103.4	100.0
	February	102.8	97.4	94.4	102.0	116.4	93.4	101.9	108.5	103.2	99.9	117.9	106.3	101.4	105.1	103.9	107.4	98.6	100.5	99.5	102.7	96.8	108.0	100.4	103.1	99.1	100.5	101.6	102.7	100.0
	March	103.1	97.7	95.5	102.0	116.7	93.7	101.9	107.5	103.7	100.2	119.9	106.6	102.5	104.8	104.2	108.0	99.1	100.4	100.2	103.9	97.0	108.4	101.5	103.4	99.2	100.4	102.3	103.9	99.9
	April	103.2	97.8	95.4	102.0	116.8	93.9	102.0	107.3	104.4	100.4	122.2	105.2	102.6	105.6	104.4	107.1	99.1	100.7	99.5	103.5	96.0	109.3	101.7	103.5	99.3	100.7	102.5	103.6	100.8
	May	102.8	97.7	96.0	101.5	116.7	93.9	101.5	106.8	103.9	100.4	118.4	105.1	102.9	107.4	104.9	105.7	98.8	100.2	99.1	103.1	95.7	109.1	101.3	103.1	99.1	100.3	102.2	103.1	100.8
	June	102.2	97.3	95.6	101.0	116.4	93.0	101.0	105.7	103.6	100.1	115.0	104.0	102.0	106.5	104.3	104.8	98.6	100.1	98.5	102.4	95.2	107.6	100.3	102.5	98.9	100.1	101.7	102.5	100.6
	July	101.8	97.7	95.7	100.7	111.7	93.5	100.6	105.5	103.4	99.7	112.9	103.8	102.3	106.2	104.1	103.1	97.4	100.9	98.3	102.1	94.9	105.8	99.3	102.1	97.7	100.9	101.6	102.2	100.7
	August	101.7	97.5	96.2	100.6	115.7	94.3	100.6	104.6	103.1	99.7	111.7	104.3	105.3	105.8	104.1	102.9	98.0	100.7	98.1	101.9	94.8	105.7	99.0	102.1	98.3	100.7	101.6	102.0	101.2
	September	102.0	97.4	94.6	100.9	100.9	100.4	100.9	104.3	103.1	99.9	110.4	105.4	102.7	106.0	106.7	104.0	98.7	102.2	96.8	102.5	91.8	106.6	99.6	102.5	99.1	102.3	101.9	102.5	100.9
	October	102.0	97.4	95.4	100.9	101.2	99.5	100.8	104.3	102.8	100.7	108.4	105.8	103.1	105.6	107.0	103.9	98.5	102.5	97.0	102.8	91.9	106.2	100.3	102.5	98.8	102.5	102.0	102.9	100.8
	November	101.8	97.3	95.2	100.8	101.6	100.0	100.8	104.0	102.1	100.7	105.4	105.4	103.0	110.0	107.0	104.9	98.4	102.5	97.3	103.0	92.3	105.6	99.6	102.4	98.7	102.6	102.4	103.0	101.6
	December	101.7	96.3	99.5	100.7	101.7	100.1	100.7	103.3	101.9	100.7	106.0	105.2	102.9	105.8	107.3	104.5	98.2	102.7	97.8	103.1	93.1	102.3	103.0	102.2	98.5	102.7	102.4	103.1	101.4
2023	January	101.6	98.5	95.6	100.8	101.3	99.3^br	100.7	102.1	101.3	100.2^bs	105.9^bt	107.2^bu	103.9^bv	103.4^bw	107.6^bx	104.2^bw	98.3^by	102.8^bz	98.3^ca	103.2^cb	93.8^cc	101.9^cd	100.2^ce	102.1	98.6^cf	102.8	102.6^cg	103.3^cb	101.5^ch
	February	101.5	98.9	96.9	100.9	101.6	100.3^ci	100.9	100.9^ci	101.2	100.0^bs	105.6^cj	105.4^ck	103.5^cl	103.9^cm	107.4^cn	103.8^co	98.4^bs	103.2^cp	98.1^cq	103.3^cb	93.5^cr	101.6^cs	100.5^ce	102.0	98.8^ct	103.3^cu	102.6^bs	103.3^cb	101.5^cv
	March	101.4	98.9	96.8	100.8	101.6	100.0	100.8	100.4	101.0	100.2	105.1	105.0	103.8	104.1	107.1	102.9	98.3	103.3	98.7	102.7	95.1	101.7	101.2	101.8	98.7	103.4	102.3	102.7	101.7
	April
	May
	June
	July
	August
	September
	October
	November
	December
Monthly cumulative data
2023	January–January	101.6	98.5	95.6	100.8	101.3	99.3^br	100.7	102.1	101.3	100.2^bs	105.9^bt	107.2^bu	103.9^bv	103.4^bw	107.6^bx	104.2^bw	98.3^by	102.8^bz	98.3^ca	103.2^cb	93.8^cc	101.9^cd	100.2^ce	102.1	98.6^cf	102.8	102.6^cg	103.3^cb	101.5^ch
	January–February	101.6	98.7	96.3	100.9	101.4	99.8^cw	100.8	101.5	101.2	100.1^bs	105.7^cx	106.3^cy	103.7^cz	103.7^da	107.5^bx	104.0^db	98.3^by	103.0^cb	98.2^ca	103.3^cb	93.6^dc	101.8^dd	100.4^ce	102.1	98.7^cf	103.1^de	102.6^cg	103.3^cb	101.5^cv
	January–March	101.5	98.8	96.4	100.9	101.5	99.8	100.8	101.1	101.2	100.2	105.5	105.8	103.8	103.8	107.4	103.6	98.3	103.1	98.4	103.1	94.1	101.7	100.6	102.0	98.7	103.2	102.5	103.1	101.6
	January–April
	January–May
	January–June
	January–July
	January–Augustus
	January–September
	January–October
	January–November
	January–December
Quarterly cumulative data
2019	Q1	101.0	97.8	111.9	101.8	99.7	99.3	101.6	108.9	102.2	100.9	104.9	103.2	103.2	97.5	105.2	104.6	96.2	100.4	93.9	100.1	89.6	101.8	96.8	102.2	98.0	100.5	100.7	100.1	101.5
	Q1–2	100.8	98.0	111.7	101.3	99.0	99.6	101.2	109.0	102.2	100.8	105.3	102.6	102.4	98.3	104.8	104.0	95.4	100.3	93.6	100.1	89.1	101.2	96.5	101.9	97.1	100.4	100.6	100.2	101.3
	Q1–3	100.7	98.3	110.8	100.8	98.2	99.6	100.7	108.7	102.0	100.7	105.3	102.3	101.3	98.9	104.4	103.2	95.7	100.3	94.6	100.2	90.5	101.2	97.7	101.6	97.0	100.3	100.6	100.3	101.1
	Q1–4	100.5	98.3	109.8	100.3	98.6	99.5	100.3	108.3	101.8	100.6	105.3	102.1	100.2	99.4	103.6	102.5	95.9	100.1	95.0	100.3	91.2	100.9	98.0	101.3	97.1	100.2	100.6	100.3	100.9
2020	Q1	98.6	97.5	106.7	96.8	94.4	98.2	96.9	105.4	98.9	98.3	101.0	103.4	94.1	105.9	102.1	95.1	98.1	99.6	96.4	100.6	93.1	97.8	97.9	99.1	99.0	99.7	100.6	100.6	100.6
	Q1–2	95.7	96.2	104.9	94.9	94.8	97.7	95.1	101.0	94.5	96.0	83.9	103.4	94.6	99.0	99.5	89.1	98.9	98.9	95.3	97.9	93.3	94.6	91.6	96.1	99.7	99.0	98.7	98.0	99.8
	Q1–3	95.9	96.3	103.3	95.0	95.7	98.0	95.2	100.6	94.9	96.0	83.9	104.1	95.6	98.2	99.5	88.4	99.6	99.1	96.1	98.2	94.5	94.7	91.9	96.2	100.3	99.2	98.9	98.2	99.8
	Q1–4	96.4	96.6	102.0	95.5	96.2	98.3	95.7	100.6	95.4	96.3	84.3	104.8	96.6	97.8	100.0	89.2	100.2	99.5	96.6	98.4	95.1	94.9	92.4	96.6	100.7	99.6	99.0	98.4	99.8
2021	Q1	99.5	98.0	96.9	99.6	99.2	99.2	99.5	102.2	98.6	98.7	86.0	108.9	102.4	90.3	102.4	98.7	102.5	100.6	99.1	99.9	98.4	98.7	98.3	99.6	102.4	100.6	99.7	99.9	99.3
	Q1–2	102.9	98.8	97.6	102.4	99.4	99.3	102.1	106.1	103.3	101.1	103.5	110.1	102.6	95.2	105.3	107.4	102.1	101.6	101.1	103.0	99.6	101.9	105.2	103.0	102.1	101.7	101.7	103.1	99.7
	Q1–3	103.3	98.7	98.4	103.1	101.2	98.4	102.7	106.6	103.4	101.3	106.3	110.5	102.4	95.6	105.9	109.7	101.3	101.6	100.6	103.2	98.5	102.5	105.6	103.5	101.4	101.6	101.7	103.2	99.5
	Q1–4	103.2	98.5	98.8	103.1	104.7	96.8	102.8	106.9	103.3	101.0	108.2	110.5	102.6	95.8	105.9	109.3	100.7	101.5	100.4	103.3	98.0	103.3	105.0	103.5	101.0	101.5	101.8	103.3	99.6
2022	Q1	103.0	97.5	94.3	102.2	116.6	93.5	102.1	108.4	103.5	100.2	118.3	105.9	102.1	105.2	103.8	107.7	98.9	100.6	99.8	103.3	96.8	107.9	100.7	103.3	99.3	100.6	102.0	103.3	100.0
	Q1–2	102.8	97.5	95.0	101.9	116.6	93.5	101.8	107.5	103.7	100.2	118.3	105.3	102.3	105.8	104.1	106.8	98.9	100.5	99.4	103.2	96.2	108.3	100.9	103.2	99.2	100.5	102.0	103.2	100.4
	Q1–3	102.5	97.5	95.2	101.5	114.0	94.3	101.4	106.6	103.5	100.1	115.9	105.1	102.7	105.9	104.4	105.6	98.6	100.7	98.8	102.8	95.4	107.5	100.3	102.9	98.9	100.8	101.9	102.9	100.5
	Q1–4	102.3	97.4	95.5	101.3	110.6	95.7	101.3	105.9	103.2	100.2	113.4	105.2	102.8	106.2	105.1	105.3	98.5	101.2	98.5	102.9	94.7	106.8	100.5	102.7	98.9	101.2	102.0	102.9	100.7
2023	Q1	101.5	98.8	96.4	100.9	101.5	99.8	100.8	101.1	101.2	100.2	105.5	105.8	103.8	103.8	107.4	103.6	98.3	103.1	98.4	103.1	94.1	101.7	100.6	102.0	98.7	103.2	102.5	103.1	101.6
	Q1–2
	Q1–3
	Q1–4

Footnotes

*	Full circle of enterprises with employees, budgetary institutions and non-profit organisations. Source of data: Institutional labour-statistical data collection system (as of 2019 data taken over from administrative sources).
a	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.08 thousands.
b	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 40.827 thousands.
c	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 812.039 thousands.
d	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.709 thousands.
e	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.369 thousands.
f	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 138.977 thousands.
g	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 127.371 thousands.
h	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 72.85 thousands.
i	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.332 thousands.
j	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 196.35 thousands.
k	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 215.829 thousands.
l	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 270.588 thousands.
m	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.632 thousands.
n	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 298.197 thousands.
o	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 151.884 thousands.
p	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.313 thousands.
q	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.448 thousands.
r	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 63.453 thousands.
s	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 246.816 thousands.
t	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.301 thousands.
u	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 244.22 thousands.
v	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 151.817 thousands.
w	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 92.403 thousands.
x	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.514 thousands.
y	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 41.156 thousands.
z	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 817.45 thousands.
aa	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.409 thousands.
ab	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.356 thousands.
ac	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 139.031 thousands.
ad	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 128.396 thousands.
ae	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 73.028 thousands.
af	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.646 thousands.
ag	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 197.993 thousands.
ah	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 218.609 thousands.
ai	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 269.819 thousands.
aj	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 307.006 thousands.
ak	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 299.113 thousands.
al	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.485 thousands.
am	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.628 thousands.
an	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.487 thousands.
ao	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 64.044 thousands.
ap	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 264.055 thousands.
aq	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.679 thousands.
ar	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 245.468 thousands.
as	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.419 thousands.
at	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 93.048 thousands.
au	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.297 thousands.
av	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 40.992 thousands.
aw	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 814.745 thousands.
ax	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.559 thousands.
ay	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.363 thousands.
az	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 139.004 thousands.
ba	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 127.884 thousands.
bb	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 72.939 thousands.
bc	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.489 thousands.
bd	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 197.172 thousands.
be	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 217.219 thousands.
bf	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 270.204 thousands.
bg	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.819 thousands.
bh	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 298.655 thousands.
bi	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.185 thousands.
bj	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.471 thousands.
bk	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.468 thousands.
bl	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 63.749 thousands.
bm	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 264.436 thousands.
bn	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.49 thousands.
bo	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 244.844 thousands.
bp	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.118 thousands.
bq	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 92.726 thousands.
br	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.0%.
bs	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.7%.
bt	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.7%.
bu	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.1%.
bv	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.9%.
bw	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.7%.
bx	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 107.1%.
by	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.8%.
bz	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.7%.
ca	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 95.7%.
cb	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.9%.
cc	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.3%.
cd	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.2%.
ce	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 114.8%.
cf	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.2%.
cg	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.6%.
ch	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 94.6%.
ci	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 101.0%.
cj	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.3%.
ck	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.5%.
cl	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.5%.
cm	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.3%.
cn	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 107.0%.
co	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.4%.
cp	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.1%.
cq	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 95.6%.
cr	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.0%.
cs	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 101.8%.
ct	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.1%.
cu	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.2%.
cv	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 94.7%.
cw	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.5%.
cx	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.5%.
cy	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.3%.
cz	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.7%.
da	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.0%.
db	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.6%.
dc	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.2%.
dd	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.0%.
de	Data correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.0%.

Source: Hungarian State Treasury; National Tax and Customs Administration.

20.2.1.47. Number of employees by economic branches, monthly, monthly cumulative and quarterly cumulative data*

Information

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Explanation of symbols