Economically Active Population Flow Statistics (EAPFS) Gross flow. Series
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1 24 April 2014 Economically Active Population Flow Statistics (EAPFS) Gross flow. Series As a novelty and in accordance to what is set out in Royal Decree 1017/2013, of 20 December, which approves the 2014 Annual Program of the National Statistical Plan , as of the first quarter of 2014, the National Statistics Institute will start publishing quarterly results regarding the Economically Active Population Flow Statistics, expressed in gross terms.the information will be incorporated into the Economically Active Population Survey (EAPS) press release. Gross Flow Statistics were presented for the judgment of the High Council on Statistics 1 on 26 June 2013 and it was favourably notified by the Permanent Commission of this organisation on 9 October Economically Active Population Flow Statistics provide further information on the dynamics of the labour market, since it allows monitoring the population or specific groups that are part of it over time, regarding their relationship with the labour market. To date, the only information on the transitions carried out by the INE was presented as probabilities of transition or origin between two labour situations during different moments in time. The big difference is that the new Economically Active Population Flow Statistics present level estimates, that is, absolute figures of persons that flow to and from situations in which they are employed, unemployed and economically inactive from one quarter to the next. This information may not be obtained from the simple difference among the quarterly results of the Economically Active Population Survey (EAPS), that provides net variations but not the transfers between each situation. Economically Active Flow Statistics take the EAPS as a base, which is quarterly continuous sampling research conducted by the INE. It uses the common part of the sample between two EAPS quarters, which allows linking the common registers (the data of each person), this way carrying out a longitudinal study, which involves a very low production cost. Additionally, it avoids a greater burden on respondents, this way complying with the principles of the Law on the Public Statistical Function and the European Statistics Code of Practice. All information is calculated with the new population base of the Population and Housing Census The High Council on Statistics is an advisory body of the state statistical services and of social involvement of respondents, producers and users of official statistics 1
2 Diagram of gross flows BETWEEN consecutive quarters The following diagram shows all the flows between two consecutive quarters, which illustrate all the movements that have taken place regarding employment, unemployment and economically inactive situations in a more descriptive way than just the net quarterly variation of these magnitudes. They are called: Persons who have become employed: number of persons who are employed during the reference quarter but were not employed during the previous one. During the previous quarter they could be unemployed (from unemployed to employed, (U-E) or economically inactive (from economically inactive to employed, EI-E) Persons who have become unemployed: number of persons who are unemployed during the reference quarter but were not unemployed during the previous one. During the previous quarter they could be employed (from employed to unemployed, E-U) or economically inactive (from economically inactive to unemployed, EI-U) Persons who become economically inactive: number of persons who are economically inactive during the reference quarter but were not economically inactive during the previous one. During the previous quarter they could be unemployed (from unemployed to economically inactive, U-EI) or employed (from employed to economically inactive, E-EI) DIAGRAMA DE FLUJOS BRUTOS ENTRE TRIMESTRES CONSECUTIVOS OCUPACIÓN I - O D - O O - D O - I DESEMPLEO D - I I - D INACTIVIDAD
3 Flujos brutos de personas (en miles) que entran y salen de la ocupación cada trimestre 2013T4 2013T3 2013T2 2013T1 2012T4 2012T3 2012T2 2012T1 2011T4 2011T3 2011T2 2011T1 2010T4 2010T3 2010T2 2010T1 2009T4 2009T3 2009T2 2009T1 2008T4 2008T3 2008T2 2008T1 2007T4 2007T3 2007T2 2007T1 2006T4 2006T3 2006T2 2006T1 2005T4 2005T3 2005T , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Personas que entran a la ocupación Personas que salen de la ocupación
4 Flujos brutos de personas (en miles) que entran y salen de la ocupación cada trimestre Personas que entran a la ocupación Personas que salen de la ocupación Desde el TRIMESTRE desempleo Desde la inactividad Total (*) A la Al desempleo inactividad Total D-O I-O O-D O-I 2013T4 964,7 421, ,9 919,2 498, ,4 2013T ,3 382, ,5 797,7 498, ,7 2013T2 943,3 322, ,2 672,5 387, ,5 2013T1 733,2 294, ,0 882,7 427, ,4 2012T4 891,5 440, , ,7 561, ,7 2012T3 953,5 430, ,2 891,1 537, ,3 2012T2 888,8 375, ,6 809,4 391, ,5 2012T1 723,4 365, ,5 983,5 471, ,0 2011T4 877,3 481, , ,6 602, ,2 2011T3 938,4 489, ,9 887,3 620, ,1 2011T2 987,7 431, ,0 773,4 455, ,3 2011T1 793,9 385, ,1 906,1 501, ,2 2010T4 877,2 520, ,4 915,9 629, ,2 2010T3 949,2 520, ,4 845,3 595, ,8 2010T2 938,2 442, ,3 768,2 493, ,8 2010T1 804,4 435, ,3 934,1 571, ,9 2009T4 907,5 568, ,0 970,3 728, ,9 2009T3 911,7 540, ,0 849,1 691, ,7 2009T2 900,9 465, ,5 853,7 558, ,4 2009T1 624,2 404, , ,1 653, ,0 2008T4 730,4 656, , ,5 839, ,8 2008T3 730,8 697, ,8 789,9 759, ,8 2008T2 698,4 608, ,7 704,4 616, ,5 2008T1 562,6 622, ,6 651,5 680, ,0 2007T4 663,3 799, ,3 608,3 876, ,1 2007T3 621,6 840, ,5 549,6 808, ,4 2007T2 681,7 718, ,7 500,9 705, ,9 2007T1 620,9 691, ,8 547,1 755, ,5 2006T4 638,1 843, ,9 569,5 900, ,5 2006T3 629,7 865, ,4 503,8 842, ,2 2006T2 696,3 793, ,7 481,1 713, ,4 2006T1 602,3 717, ,6 569,7 718, ,6 2005T4 640,3 910, ,3 530,0 925, ,4 2005T3 692,0 871, ,1 477,9 873, ,7 2005T2 755,2 810, ,0 448,3 763, ,9 (*) El total puede no ser igual a la suma de las partes pues incluye un 'no consta', que corresponde a las personas de las que no se conoce su situación de actividad en el trimestre anterior
5 Flujos brutos de personas (en miles) que entran y salen del desempleo cada trimestre 2013T4 2013T3 2013T2 2013T1 2012T4 2012T3 2012T2 2012T1 2011T4 2011T3 2011T2 2011T1 2010T4 2010T3 2010T2 2010T1 2009T4 2009T3 2009T2 2009T1 2008T4 2008T3 2008T2 2008T1 2007T4 2007T3 2007T2 2007T1 2006T4 2006T3 2006T2 2006T1 2005T4 2005T3 2005T , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,4 979, , , , , , , , , , , , , , , , , , , , , , , Personas que entran al desempleo Personas que salen del desempleo
6 Flujos brutos de personas (en miles) que entran y salen del desempleo cada trimestre Personas que entran al desempleo Personas que salen del desempleo Desde la TRIMESTRE ocupación Desde la inactividad Total (*) A la ocupación A la inactividad Total O-D I-D D-O D-I 2013T4 919,2 912, ,4 964,7 802, ,0 2013T3 797,7 982, , ,3 807, ,7 2013T2 672,5 874, ,3 943,3 814, ,8 2013T1 882,7 903, ,1 733,2 728, ,1 2012T ,7 900, ,4 891,5 804, ,2 2012T3 891,1 978, ,4 953,5 744, ,9 2012T2 809,4 883, ,6 888,8 713, ,7 2012T1 983,5 855, ,1 723,4 688, ,0 2011T ,6 859, ,1 877,3 718, ,3 2011T3 887,3 934, ,3 938,4 726, ,0 2011T2 773,4 848, ,3 987,7 674, ,5 2011T1 906,1 814, ,9 793,9 659, ,8 2010T4 915,9 845, ,0 877,2 684, ,9 2010T3 845,3 864, ,8 949,2 738, ,1 2010T2 768,2 847, ,2 938,2 633, ,1 2010T1 934,1 879, ,5 804,4 626, ,0 2009T4 970,3 864, ,8 907,5 694, ,8 2009T3 849,1 817, ,6 911,7 680, ,8 2009T2 853,7 770, ,5 900,9 636, ,7 2009T ,1 793, ,0 624,2 487, ,3 2008T ,5 737, ,8 730,4 472, ,3 2008T3 789,9 656, ,1 730,8 503, ,1 2008T2 704,4 640, ,4 698,4 440, ,3 2008T1 651,5 599, ,4 562,6 416,8 979,4 2007T4 608,3 582, ,0 663,3 436, ,3 2007T3 549,6 561, ,3 621,6 478, ,0 2007T2 500,9 523, ,2 681,7 426, ,9 2007T1 547,1 520, ,2 620,9 423, ,5 2006T4 569,5 545, ,4 638,1 414, ,1 2006T3 503,8 554, ,1 629,7 467, ,8 2006T2 481,1 547, ,6 696,3 455, ,5 2006T1 569,7 520, ,9 602,3 453, ,0 2005T4 530,0 606, ,7 640,3 414, ,6 2005T3 477,9 557, ,7 692,0 561, ,5 2005T2 448,3 594, ,9 755,2 478, ,3 (*) El total puede no ser igual a la suma de las partes pues incluye un 'no consta', que corresponde a las personas de las que no se conoce su situación de actividad en el trimestre anterior
7 Flujos brutos de personas (en miles) que entran y salen de la actividad cada trimestre 2013T4 2013T3 2013T2 2013T1 2012T4 2012T3 2012T2 2012T1 2011T4 2011T3 2011T2 2011T1 2010T4 2010T3 2010T2 2010T1 2009T4 2009T3 2009T2 2009T1 2008T4 2008T3 2008T2 2008T1 2007T4 2007T3 2007T2 2007T1 2006T4 2006T3 2006T2 2006T1 2005T4 2005T3 2005T , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Personas que entran a la actividad Personas que salen de la actividad
8 Flujos brutos de personas (en miles) que entran y salen de la actividad cada trimestre Personas que entran a la actividad Personas que salen de la actividad TRIMESTRE A la ocupación Al desempleo Total Desde la ocupación Desde el desempleo Total (*) I-O I-D O-I D-I 2013T4 421,9 912, ,8 498,2 802, ,3 2013T3 382,5 982, ,1 498,0 807, ,9 2013T2 322,8 874, ,7 387,0 814, ,4 2013T1 294,8 903, ,0 427,7 728, ,8 2012T4 440,9 900, ,8 561,0 804, ,5 2012T3 430,6 978, ,4 537,3 744, ,9 2012T2 375,4 883, ,8 391,1 713, ,1 2012T1 365,8 855, ,0 471,5 688, ,8 2011T4 481,7 859, ,1 602,6 718, ,4 2011T3 489,6 934, ,0 620,8 726, ,6 2011T2 431,9 848, ,2 455,9 674, ,3 2011T1 385,0 814, ,4 501,0 659, ,7 2010T4 520,2 845, ,3 629,3 684, ,1 2010T3 520,2 864, ,5 595,5 738, ,5 2010T2 442,0 847, ,3 493,7 633, ,9 2010T1 435,2 879, ,2 571,7 626, ,8 2009T4 568,6 864, ,5 728,5 694, ,0 2009T3 540,3 817, ,8 691,6 680, ,2 2009T2 465,1 770, ,7 558,7 636, ,6 2009T1 404,3 793, ,6 653,8 487, ,3 2008T4 656,2 737, ,7 839,3 472, ,2 2008T3 697,5 656, ,1 759,8 503, ,7 2008T2 608,0 640, ,4 616,1 440, ,3 2008T1 622,9 599, ,0 680,5 416, ,1 2007T4 799,8 582, ,5 876,8 436, ,2 2007T3 840,9 561, ,4 808,8 478, ,2 2007T2 718,5 523, ,8 705,0 426, ,2 2007T1 691,0 520, ,9 755,4 423, ,2 2006T4 843,1 545, ,4 900,9 414, ,6 2006T3 865,0 554, ,2 842,4 467, ,0 2006T2 793,8 547, ,2 713,3 455, ,6 2006T1 717,3 520, ,8 718,9 453, ,4 2005T4 910,1 606, ,4 925,4 414, ,9 2005T3 871,4 557, ,6 873,8 561, ,4 2005T2 810,3 594, ,3 763,5 478, ,7 (*) El total puede no ser igual a la suma de las partes pues incluye un 'no consta', que corresponde a las personas de las que no se conoce su situación de actividad en el trimestre anterior
9 Retrospective series Principales flujos brutos (miles) Relación con la actividad en el trimestre actual OCUPADO DESEMPLEADO INACTIVO Relación con la actividad trimestre anterior Relación con la actividad trimestre anterior Relación con la actividad trimestre anterior no no no consta OCUPADO DESEMPLEADO INACTIVO consta OCUPADO DESEMPLEADO INACTIVO consta OCUPADO DESEMPLEADO INACTIVO 2013T4 0, ,4 964,7 421,9 2,3 919, ,3 912,9 105,8 498,2 802, ,0 2013T3 1, , ,3 382,5 0,9 797, ,1 982,6 107,5 498,0 807, ,1 2013T2 0, ,3 943,3 322,8 1,9 672, ,0 874,0 100,9 387,0 814, ,4 2013T1 1, ,2 733,2 294,8 3,2 882, ,1 903,2 112,2 427,7 728, ,1 2012T4 2, ,5 891,5 440,9 1, , ,6 900,9 117,8 561,0 804, ,3 2012T3 0, ,5 953,5 430,6 3,5 891, ,8 978,9 110,2 537,3 744, ,3 2012T2 2, ,9 888,8 375,4 3,7 809, ,5 883,4 100,1 391,1 713, ,0 2012T1 2, ,6 723,4 365,8 2,3 983, ,8 855,3 121,7 471,5 688, ,4 2011T4 0, ,6 877,3 481,7 5, , ,2 859,4 116,8 602,6 718, ,2 2011T3 4, ,6 938,4 489,6 2,5 887, ,7 934,5 105,2 620,8 726, ,5 2011T2 2, ,0 987,7 431,9 7,6 773, ,9 848,3 109,7 455,9 674, ,7 2011T1 0, ,1 793,9 385,0 0,4 906, ,3 814,4 123,9 501,0 659, ,7 2010T4 0, ,5 877,2 520,2 6,0 915, ,1 845,1 104,2 629,3 684, ,6 2010T3 1, ,6 949,2 520,2 2,3 845, ,5 864,3 101,2 595,5 738, ,8 2010T2 0, ,8 938,2 442,0 2,7 768, ,1 847,4 104,3 493,7 633, ,7 2010T1 2, ,6 804,4 435,2 7,4 934, ,2 879,0 122,5 571,7 626, ,7 2009T4 0, ,4 907,5 568,6 4,6 970, ,2 864,8 117,1 728,5 694, ,5 2009T3 3, ,4 911,7 540,3 4,0 849, ,8 817,5 117,5 691,6 680, ,1 2009T2 3, ,7 900,9 465,1 8,2 853, ,1 770,5 120,1 558,7 636, ,0 2009T1 8, ,5 624,2 404,3 12, , ,2 793,3 135,3 653,8 487, ,5 2008T4 4, ,5 730,4 656,2 10, , ,0 737,5 115,0 839,3 472, ,2 2008T3 20, ,6 730,8 697,5 6,7 789, ,6 656,5 101,6 759,8 503, ,0 2008T2 10, ,2 698,4 608,0 5,5 704, ,3 640,4 121,4 616,1 440, ,7 2008T1 11, ,4 562,6 622,9 9,8 651,5 930,1 599,1 137,8 680,5 416, ,9 2007T4 14, ,6 663,3 799,8 8,1 608,3 742,9 582,7 136,3 876,8 436, ,1 2007T3 17, ,9 621,6 840,9 18,1 549,6 676,9 561,5 130,0 808,8 478, ,6 2007T2 20, ,2 681,7 718,5 15,1 500,9 734,0 523,2 118,0 705,0 426, ,5 2007T1 15, ,7 620,9 691,0 14,2 547,1 781,0 520,9 134,1 755,4 423, ,0 2006T4 25, ,5 638,1 843,1 21,6 569,5 683,0 545,3 140,8 900,9 414, ,2 2006T3 19, ,6 629,7 865,0 11,1 503,8 697,7 554,2 116,4 842,4 467, ,7 2006T2 37, ,9 696,3 793,8 15,0 481,1 790,8 547,5 120,1 713,3 455, ,1 2006T1 22, ,8 602,3 717,3 19,7 569,7 833,0 520,4 123,7 718,9 453, ,8 2005T4 12, ,9 640,3 910,1 9,4 530,0 714,6 606,3 107,2 925,4 414, ,0 2005T3 22, ,0 692,0 871,4 12,7 477,9 735,8 557,2 120,1 873,8 561, ,5 2005T2 6, ,6 755,2 810,3 12,5 448,3 914,3 594,0 136,0 763,5 478, ,7 NOTA.- El 'no consta' corresponde a las personas de las que no se conoce su situación de actividad en el trimestre anterior
10 Methodological note Economically Active Population Flow Statistics provide further information on the dynamics of the labour market, since it allows monitoring the population or specific groups that are part of it over time, regarding their relationship with the labour market. It takes the Economically Active Population Survey (EAPS) as a base, which is quarterly continuous sampling research conducted by the INE. It uses the common part of the sample between two EAPS quarters, which allows linking the common registers (the data of each person) this way carrying out a longitudinal study, which involves a very low production cost. Additionally, it avoids a greater burden on respondents, this way complying with the principles of the Law on the Public Statistical Function and the European Statistics Code of Practice. The information on transitions compiled by the INE since 1987 mainly consisted in providing results as probabilities of transition or origin between two labour situations during different moments in time. It is however necessary to take level estimates into account, that is, in absolute figures. They will reflect the variations among the employment, unemployment and economic inactivity situations from one quarter to the next. The simple difference among quarterly results of the EAPS provides net variations but gives no information on the transfers between each situation which result in these net variations. Estimating the gross transitions between the employment, unemployment and economic inactivity situations from one quarter to the next is the objective of the substantial methodological change in the Economically Active Population Survey. To this end: the data given by the interviewed persons over time is linked and new elevation factors are calculated. This process begins with the common sample between the current quarter and the previous one, adding the sample of the persons who have turned 16 years of age during the three months and the sample of the persons who have arrived in Spain from abroad during that same period. This way, a total sample is obtained, which perfectly represents the Spanish population in the current period. Subsequently, elevation factors are calculated 2 in the usual way as they are calculated for the quarterly EAPS, but adding an additional measure to the total amount of employed, unemployed and economically inactive persons by Autonomous Community that have been obtained in the current quarterly EAPS, with the intention that both samples (flow and complete EAPS samples) offer the same results for the main magnitudes in the current quarter. The rotation established by the EAPS, which consists in renovating one-sixth of the households in the sample each quarter, implies that the maximum available sample to calculate the estimates based on the common sample is 5/6. Moreover, incidences regarding information collection in one quarter or the next cause a greater decrease in the proportion of the sample used to estimate flows. Therefore, if the complete sample of a quarter is 140,000 persons, the sample that holds flow estimates is a bit more than 100, The elevation factor is the number of persons in the population represented by each person in the sample.
11 This procedure, however, does not allow adjusting EAPS flow estimates with the results of previous quarters. This information must always be used in relation with the EAPS results of the current quarter. Any accounting exercise involving the addition or substraction of flow figures to/from the current quarter figures will have discrepancies with the results of the previous quarter due to the weighting of the used results and the presence in the current quarter of population that was not considered in the previous one (persons arrived from abroad and persons who have turned 16 years of age in the last three months). For further information see INEbase- All press releases at: Press Office: Telephone numbers: / Fax: gprensa@ine.es Information Area: Telephone number: Fax:
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