Main survey variable: jspyni S/emp: Earnings: whether before NI

S/emp: Earnings: whether before NI

Datafile

indresp

Index term

Employment: Self-Employment

Question asked in the latest wave:

selfemployment_w14.jspyni

Question label:

Job/business income: whether before NI

Question text:

Is that figure before deduction of National Insurance?

Question universe:

if (CURRENTEMPLOYMENT.MULTIJOBSTOTAL = 1 & CURRENTEMPLOYMENT.JBSEMP = 2) | JOBCODE selected at CURRENTEMPLOYMENT.JBMAIN is CURRENTEMPLOYMENT.JBSEMP = 2 (Has one job and is self-employed OR Has more than 1 job and is self-employed in the main job)
and if (JSACCS = 2|3|DK|REF) | (JSWORKAC = 2|DK|REF) | (JSWORKAC = 1 & (JSOWNSUM = 2|DK|REF)) | JSPRF = DK|REF (Business accounts have not been prepared or not yet been prepared OR does not have separate work and private bank accounts OR has separate work and private bank accounts but does not draw money from work account for non-business purposes)
and if JSPAYU MIS|DF|REF (Average income from job/business is not missing, don't know or refused)

Further details:
For further details about this question, please see the questionnaires

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	34228	96.5%
proxy	-7	134	0.38%
refusal	-2	7	0.02%
don't know	-1	14	0.04%
Yes, before NI	1	766	2.16%
No, after NI	2	322	0.91%
	Total	35471	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	27015	96.49%
proxy	-7	104	0.37%
refusal	-2	7	0.03%
don't know	-1	11	0.04%
Yes, before NI	1	584	2.09%
No, after NI	2	277	0.99%
	Total	27998	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	28161	96.21%
proxy	-7	198	0.68%
refusal	-2	10	0.03%
don't know	-1	9	0.03%
Yes, before NI	1	580	1.98%
No, after NI	2	313	1.07%
	Total	29271	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	30516	95.34%
proxy	-7	464	1.45%
refusal	-2	8	0.02%
don't know	-1	20	0.06%
Yes, before NI	1	632	1.97%
No, after NI	2	368	1.15%
	Total	32008	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	32325	94.19%
proxy	-7	804	2.34%
refusal	-2	7	0.02%
don't know	-1	22	0.06%
Yes, before NI	1	722	2.1%
No, after NI	2	439	1.28%
	Total	34319	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	33610	93.21%
proxy	-7	1096	3.04%
refusal	-2	7	0.02%
don't know	-1	23	0.06%
Yes, before NI	1	814	2.26%
No, after NI	2	508	1.41%
	Total	36058	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	36068	91.79%
proxy	-7	1683	4.28%
refusal	-2	6	0.02%
don't know	-1	35	0.09%
Yes, before NI	1	877	2.23%
No, after NI	2	625	1.59%
	Total	39294	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	37681	89.35%
proxy	-7	2832	6.72%
refusal	-2	3	0.01%
don't know	-1	49	0.12%
Yes, before NI	1	865	2.05%
No, after NI	2	740	1.75%
	Total	42170	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	685	1.52%
inapplicable	-8	39512	87.43%
proxy	-7	3324	7.36%
refusal	-2	3	0.01%
don't know	-1	79	0.17%
yes, before ni	1	946	2.09%
no, after ni	2	643	1.42%
	Total	45192	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	157	0.35%
inapplicable	-8	40343	89.98%
proxy	-7	3858	8.6%
don't know	-1	6	0.01%
yes, before ni	1	284	0.63%
no, after ni	2	189	0.42%
	Total	44837	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	138	0.29%
inapplicable	-8	42512	90.31%
proxy	-7	3935	8.36%
refusal	-2	1	0.0%
don't know	-1	4	0.01%
yes, before ni	1	303	0.64%
no, after ni	2	181	0.38%
	Total	47074	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	156	0.31%
inapplicable	-8	45157	90.87%
proxy	-7	3830	7.71%
don't know	-1	6	0.01%
yes, before ni	1	354	0.71%
no, after ni	2	189	0.38%
	Total	49692	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	50135	91.88%
proxy	-7	3880	7.11%
refusal	-2	2	0.0%
don't know	-1	4	0.01%
yes, before ni	1	362	0.66%
no, after ni	2	185	0.34%
	Total	54568	100.0%

Value label	Value	Absolute frequency	Relative frequency
inapplicable	-8	47208	92.58%
proxy	-7	3262	6.4%
refusal	-2	2	0.0%
don't know	-1	8	0.02%
yes, before ni	1	340	0.67%
no, after ni	2	174	0.34%
	Total	50994	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	36	0.25%
inapplicable	-8	13995	97.06%
proxy	-7	231	1.6%
Yes (before NI)	1	104	0.72%
No (after NI)	2	53	0.37%
	Total	14419	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	41	0.28%
inapplicable	-8	14418	96.94%
proxy	-7	265	1.78%
Yes (before NI)	1	93	0.63%
No (after NI)	2	56	0.38%
	Total	14873	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	42	0.27%
inapplicable	-8	14904	96.83%
proxy	-7	300	1.95%
Yes (before NI)	1	92	0.6%
No (after NI)	2	54	0.35%
	Total	15392	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	23	0.15%
inapplicable	-8	15110	96.75%
proxy	-7	310	1.99%
Yes (before NI)	1	111	0.71%
No (after NI)	2	63	0.4%
	Total	15617	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	17	0.11%
inapplicable	-8	14625	92.62%
proxy	-7	1014	6.42%
Yes (before NI)	1	97	0.61%
No (after NI)	2	38	0.24%
	Total	15791	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	26	0.16%
inapplicable	-8	15169	93.42%
proxy	-7	891	5.49%
Yes (before NI)	1	100	0.62%
No (after NI)	2	52	0.32%
	Total	16238	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	20	0.12%
inapplicable	-8	15575	93.84%
proxy	-7	889	5.36%
Yes (before NI)	1	76	0.46%
No (after NI)	2	37	0.22%
	Total	16597	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	40	0.21%
inapplicable	-8	17879	94.76%
proxy	-7	801	4.25%
Yes (before NI)	1	106	0.56%
No (after NI)	2	41	0.22%
	Total	18867	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	25	0.16%
inapplicable	-8	14944	95.78%
proxy	-7	522	3.35%
Yes (before NI)	1	84	0.54%
No (after NI)	2	28	0.18%
	Total	15603	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	26	0.17%
inapplicable	-8	15044	96.29%
proxy	-7	435	2.78%
Yes (before NI)	1	84	0.54%
No (after NI)	2	34	0.22%
	Total	15623	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	14	0.13%
inapplicable	-8	10428	95.62%
proxy	-7	358	3.28%
Yes (before NI)	1	85	0.78%
No (after NI)	2	21	0.19%
	Total	10906	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	10	0.09%
inapplicable	-8	10714	95.72%
proxy	-7	365	3.26%
Yes (before NI)	1	84	0.75%
No (after NI)	2	20	0.18%
	Total	11193	100.0%

Code creator
0

Create your own Stata code to extract data from the main end user licence Understanding Society dataset. Find out more

jspyni

Datafile

Index term

Question asked in the latest wave:

selfemployment_w14.jspyni

Question label:

Question text:

Question universe:

Code creator
0

Saved variables

What else is Understanding Society doing?

Unpaid work – the missing link in the gender gap

Children’s worries include good grades and rising prices

Calendar Year 2023 data now available

Professor Annette Jäckle debates survey methods on BBC Radio 4

Email newsletter

Datafile

Index term

Question asked in the latest wave:

selfemployment_w14.jspyni

Question label:

Question text:

Question universe:

Wave 14 (n_jspyni indresp)

Wave 13 (m_jspyni indresp)

Wave 12 (l_jspyni indresp)

Wave 11 (k_jspyni indresp)

Wave 10 (j_jspyni indresp)

Wave 9 (i_jspyni indresp)

Wave 8 (h_jspyni indresp)

Wave 7 (g_jspyni indresp)

Wave 6 (f_jspyni indresp)

Wave 5 (e_jspyni indresp)

Wave 4 (d_jspyni indresp)

Wave 3 (c_jspyni indresp)

Wave 2 (b_jspyni indresp)

Wave 1 (a_jspyni indresp)

Wave B18 (br_jspyni indresp)

Wave B17 (bq_jspyni indresp)

Wave B16 (bp_jspyni indresp)

Wave B15 (bo_jspyni indresp)

Wave B14 (bn_jspyni indresp)

Wave B13 (bm_jspyni indresp)

Wave B12 (bl_jspyni indresp)

Wave B11 (bk_jspyni indresp)

Wave B10 (bj_jspyni indresp)

Wave B9 (bi_jspyni indresp)

Wave B8 (bh_jspyni indresp)

Wave B7 (bg_jspyni indresp)

Code creator 0

Saved variables

What else is Understanding Society doing?

Unpaid work – the missing link in the gender gap

Children’s worries include good grades and rising prices

Calendar Year 2023 data now available

Professor Annette Jäckle debates survey methods on BBC Radio 4

Email newsletter

Code creator
0