EQLS 2007 Survey Results

Q19_3 Can you afford to replace any worn-out furniture?

Gender

Q19_3 Can you afford to replace any worn-out furniture?
		Yes, can afford if want	No, cannot afford it	Don't know	N=
AT (Austria)	Male	84.2	15	0.8	472
	Female	81.9	16.8	1.2	571
	Both	83	15.9	1	1043
BE (Belgium)	Male	82.6	17.1	0.3	468
	Female	76.3	22.7	1	542
	Both	79.3	20	0.7	1010
BG (Bulgaria)	Male	21.5	68.5	10.1	442
	Female	18.5	73.7	7.7	588
	Both	19.9	71.2	8.9	1030
CY (Cyprus)	Male	59.2	37.2	3.6	433
	Female	51	44.8	4.2	570
	Both	54.9	41.2	3.9	1003
CZ (Czech Republic)	Male	67.3	31.7	1	465
	Female	53	45	2	762
	Both	59.9	38.6	1.5	1227
DE (Germany)	Male	79.9	17.7	2.4	917
	Female	74.9	23.6	1.5	1091
	Both	77.4	20.7	1.9	2008
DK (Denmark)	Male	89.8	7.8	2.4	449
	Female	86.9	12.3	0.8	555
	Both	88.3	10.1	1.6	1004
EE (Estonia)	Male	66.8	30.7	2.5	405
	Female	56.2	42.4	1.4	618
	Both	61	37.2	1.9	1023
GR (Greece)	Male	58.2	41.2	0.7	436
	Female	47.6	51.7	0.6	564
	Both	52.8	46.6	0.7	1000
ES (Spain)	Male	85	13.2	1.8	499
	Female	78.7	17.7	3.6	516
	Both	81.8	15.5	2.7	1015
FI (Finland)	Male	86.8	12.6	0.6	464
	Female	83.2	16	0.8	538
	Both	85	14.4	0.7	1002
FR (France)	Male	79.9	19	1.2	634
	Female	73.2	25.8	1	903
	Both	76.4	22.5	1.1	1537
HR (Croatia)	Male	46.5	49.6	3.9	388
	Female	42.8	54.4	2.8	612
	Both	44.6	52.1	3.3	1000
HU (Hungary)	Male	40.4	56.2	3.4	387
	Female	33.6	63.7	2.7	613
	Both	36.8	60.2	3	1000
IE (Ireland)	Male	84.9	12.3	2.8	401
	Female	80.9	16	3.1	599
	Both	82.9	14.2	2.9	1000
IT (Italy)	Male	72.2	24.6	3.2	537
	Female	71.7	25.1	3.2	979
	Both	71.9	24.9	3.2	1516
LT (Lithuania)	Male	53.3	44.7	1.9	378
	Female	39	58.3	2.7	626
	Both	45.5	52.1	2.4	1004
LU (Luxembourg)	Male	88.8	8.5	2.7	427
	Female	86.4	11.8	1.8	577
	Both	87.5	10.2	2.2	1004
LV (Latvia)	Male	45.4	52.3	2.3	383
	Female	35.4	62.7	1.9	619
	Both	39.9	58	2.1	1002
MK (FYR of Macedonia)	Male	23.4	74.5	2.2	482
	Female	19.5	77.9	2.6	526
	Both	21.4	76.2	2.4	1008
MT (Malta)	Male	49.1	43.9	7	501
	Female	43.5	50.6	5.9	499
	Both	46.2	47.3	6.4	1000
NL (Netherlands)	Male	92.3	7.2	0.5	481
	Female	85.1	14.6	0.3	530
	Both	88.6	11	0.4	1011
NO (Norway)	Male	91.3	7.5	1.3	467
	Female	83.9	13.6	2.4	533
	Both	87.5	10.6	1.9	1000
PL (Poland)	Male	46.2	48	5.8	608
	Female	35.5	60.3	4.2	892
	Both	40.6	54.4	4.9	1500
PT (Portugal)	Male	65.8	31.6	2.6	477
	Female	56.2	40.3	3.5	523
	Both	60.8	36.2	3	1000
RO (Romania)	Male	42.5	54.6	3	473
	Female	35	64.3	0.7	527
	Both	38.6	59.6	1.8	1000
SE (Sweden)	Male	92.8	6.7	0.5	495
	Female	84.7	13.4	1.9	522
	Both	88.7	10.1	1.2	1017
SI (Slovenia)	Male	80	17.8	2.2	428
	Female	72.4	24.8	2.8	607
	Both	76.1	21.4	2.5	1035
SK (Slovakia)	Male	52.8	44.5	2.7	439
	Female	45.6	51.8	2.5	689
	Both	49.1	48.4	2.6	1128
TR (Turkey)	Male	29	68.4	2.5	878
	Female	22.6	75.2	2.1	1122
	Both	25.9	71.8	2.3	2000
UK (United Kingdom)	Male	81.8	15.8	2.4	648
	Female	76.8	21.4	1.7	859
	Both	79.2	18.8	2	1507
CC3	Male	30.1	67.3	2.6	1748
	Female	24.1	73.7	2.2	2260
	Both	27.1	70.5	2.4	4008
EU 15	Male	80	18.1	2	7805
	Female	74.8	23.2	1.9	9869
	Both	77.3	20.7	1.9	17674
NMS12	Male	46.7	49	4.3	5342
	Female	37.4	59.4	3.1	7610
	Both	41.8	54.5	3.7	12952
EU 27	Male	73	24.6	2.5	13147
	Female	66.8	31	2.2	17479
	Both	69.8	27.9	2.3	30626

Age

Q19_3 Can you afford to replace any worn-out furniture?
		Yes, can afford if want	No, cannot afford it	Don't know	N=
AT (Austria)	18-34	77.5	21.6	0.8	309
	35-49	85	14	1	350
	50-64	84.2	15.1	0.7	230
	65+	86.5	11.6	1.8	154
BE (Belgium)	18-34	80	20	0.0	210
	35-49	78.2	20.7	1.1	317
	50-64	83.2	16.6	0.3	262
	65+	75.9	22.6	1.5	221
BG (Bulgaria)	18-34	28	55.5	16.4	235
	35-49	29	62	9	236
	50-64	14.1	79.6	6.3	305
	65+	4.5	94.4	1.1	254
CY (Cyprus)	18-34	65.6	26.7	7.8	205
	35-49	54.7	44.4	0.8	223
	50-64	50.5	47.2	2.3	322
	65+	39.3	57.1	3.5	253
CZ (Czech Republic)	18-34	64.7	34.1	1.2	298
	35-49	64.5	34	1.5	332
	50-64	59	38.7	2.3	399
	65+	45.1	53.8	1.1	198
DE (Germany)	18-34	69.7	26.2	4.1	431
	35-49	77	21.9	1.1	595
	50-64	81.6	17.4	1	453
	65+	81.8	16.7	1.5	529
DK (Denmark)	18-34	82.3	15.4	2.3	183
	35-49	86.7	11.8	1.6	257
	50-64	91.5	7.2	1.4	289
	65+	94.7	4.4	0.9	275
EE (Estonia)	18-34	73.5	25.4	1.1	235
	35-49	61.8	36.8	1.4	202
	50-64	64.7	34.9	0.5	253
	65+	37.3	57.6	5.1	333
GR (Greece)	18-34	64.7	34.4	0.9	289
	35-49	59.5	39.9	0.6	260
	50-64	44.1	55.5	0.4	187
	65+	34.6	64.8	0.6	264
ES (Spain)	18-34	84.4	12.5	3.1	286
	35-49	82.8	13.6	3.6	275
	50-64	84.7	14.1	1.3	194
	65+	73.6	24.1	2.3	260
FI (Finland)	18-34	82.1	17.3	0.6	183
	35-49	81.9	17.1	0.9	232
	50-64	88.9	10.6	0.5	324
	65+	87.4	12	0.6	263
FR (France)	18-34	74.2	24.6	1.2	353
	35-49	73.8	25.3	1	416
	50-64	80.1	19	0.9	401
	65+	78.4	20.4	1.1	367
HR (Croatia)	18-34	58.2	38.8	3	245
	35-49	46.8	49.5	3.7	229
	50-64	44.5	51.8	3.7	266
	65+	21.6	75.5	2.9	260
HU (Hungary)	18-34	45.1	52	2.8	241
	35-49	36.2	58.7	5.1	234
	50-64	36.1	60.8	3.1	264
	65+	24.6	75	0.4	261
IE (Ireland)	18-34	76.7	18.8	4.5	288
	35-49	84.9	12.2	2.9	305
	50-64	89.9	9.9	0.2	239
	65+	84.9	12.4	2.7	168
IT (Italy)	18-34	76.2	19.6	4.2	388
	35-49	72.6	24.1	3.3	600
	50-64	71.5	26	2.5	347
	65+	66.2	31.3	2.5	181
LT (Lithuania)	18-34	44.8	51.2	4.1	228
	35-49	60.3	39.3	0.5	238
	50-64	39.6	58	2.4	228
	65+	30.7	67	2.4	310
LU (Luxembourg)	18-34	81.7	14.5	3.8	176
	35-49	88.7	10	1.3	339
	50-64	88.2	9.7	2.1	266
	65+	93.5	4.7	1.8	223
LV (Latvia)	18-34	54.2	44.5	1.3	326
	35-49	46.2	52.5	1.3	297
	50-64	35.3	64.7	0.0	187
	65+	15.6	78.1	6.3	192
MK (FYR of Macedonia)	18-34	31.1	66.7	2.1	290
	35-49	21.7	73.9	4.5	297
	50-64	12.1	86.2	1.7	246
	65+	12	88	0.0	175
MT (Malta)	18-34	52.5	37.5	10	258
	35-49	46.5	47.9	5.7	243
	50-64	41.9	53.1	5	300
	65+	40.9	56	3.1	199
NL (Netherlands)	18-34	88.1	10.9	0.9	138
	35-49	88.9	10.9	0.2	345
	50-64	90.1	9.9	0.0	321
	65+	86.9	12.7	0.5	207
NO (Norway)	18-34	81.6	16.4	2	202
	35-49	87.1	10.3	2.6	295
	50-64	91	7.8	1.2	276
	65+	92.8	5.8	1.4	227
PL (Poland)	18-34	51.7	42.3	6	392
	35-49	43	51.4	5.5	383
	50-64	34.3	62.1	3.7	421
	65+	23.3	73	3.7	304
PT (Portugal)	18-34	69.1	27.5	3.3	280
	35-49	65.3	32.8	1.9	270
	50-64	61	36.5	2.5	247
	65+	41.7	53.7	4.6	203
RO (Romania)	18-34	46.7	51.5	1.8	254
	35-49	47.5	50.7	1.7	276
	50-64	34.2	63.4	2.4	273
	65+	16.4	82.5	1.1	197
SE (Sweden)	18-34	87.9	9.9	2.1	152
	35-49	86.5	12.4	1.2	288
	50-64	90.8	8.6	0.6	334
	65+	89.9	9.3	0.9	243
SI (Slovenia)	18-34	83.6	13.7	2.6	277
	35-49	75.9	20.7	3.5	203
	50-64	75.6	21.9	2.5	275
	65+	65.2	33.8	1	280
SK (Slovakia)	18-34	60.1	37.8	2.1	258
	35-49	48.9	48	3.1	294
	50-64	43.4	54	2.5	361
	65+	31	66.2	2.8	215
TR (Turkey)	18-34	33.5	64.5	2	919
	35-49	20.9	76.2	2.9	588
	50-64	17.8	79	3.1	317
	65+	14.7	84.4	0.9	176
UK (United Kingdom)	18-34	72.6	23.4	4	330
	35-49	76.5	20.9	2.6	376
	50-64	84.2	15.8	0.0	358
	65+	86.8	12.6	0.6	443
CC3	18-34	34.6	63.4	2.1	1454
	35-49	22.8	74.2	3	1114
	50-64	20.3	76.6	3.1	829
	65+	15.6	83.3	1.1	611
EU 15	18-34	75.6	21.4	3	3996
	35-49	77	21	1.9	5225
	50-64	80.1	18.8	1	4452
	65+	76.9	21.5	1.6	4001
NMS12	18-34	51	44.4	4.6	3207
	35-49	46.5	49.5	4	3161
	50-64	37.3	59.5	3.2	3588
	65+	24	73.7	2.3	2996
EU 27	18-34	69.7	26.9	3.4	7203
	35-49	70.9	26.8	2.3	8386
	50-64	70.9	27.6	1.5	8040
	65+	67.2	31.2	1.7	6997

Income

Q19_3 Can you afford to replace any worn-out furniture?
		Yes, can afford if want	No, cannot afford it	Don't know	N=
AT (Austria)	Lowest	57.6	39.5	2.9	144
	Low	87.7	11.7	0.7	142
	High	89.3	10.7	0.0	139
	Highest	91.8	8.2	0.0	147
BE (Belgium)	Lowest	61.9	36.8	1.4	185
	Low	68.1	30.9	0.9	183
	High	82.5	17.5	0.0	183
	Highest	94.9	5.1	0.0	184
BG (Bulgaria)	Lowest	5.2	94.8	0.0	185
	Low	6	93.4	0.6	186
	High	21.8	73.9	4.3	189
	Highest	39.6	48.2	12.2	186
CY (Cyprus)	Lowest	23.4	73.6	2.9	185
	Low	49.8	48	2.2	190
	High	63.3	36	0.7	214
	Highest	78.6	15.9	5.5	179
CZ (Czech Republic)	Lowest	31.5	65.6	2.9	200
	Low	48.4	51.3	0.3	194
	High	62.9	36.5	0.6	191
	Highest	76.8	22.5	0.8	202
DE (Germany)	Lowest	44	53.6	2.4	358
	Low	73.3	24	2.8	344
	High	85.8	13.6	0.6	375
	Highest	93.6	5.6	0.8	360
DK (Denmark)	Lowest	74.5	22	3.5	210
	Low	86.6	13.4	0.0	195
	High	91.6	7.5	0.9	206
	Highest	96.7	3.3	0.0	200
EE (Estonia)	Lowest	30.9	67	2.1	212
	Low	42.6	56.1	1.3	209
	High	66.6	31.7	1.7	210
	Highest	87	12.1	0.9	210
GR (Greece)	Lowest	33.7	66.3	0.0	185
	Low	43.7	56.3	0.0	176
	High	53.1	46.2	0.7	184
	Highest	80.8	19.2	0.0	181
ES (Spain)	Lowest	57	38.3	4.7	126
	Low	75.4	21.9	2.7	125
	High	82	13.8	4.2	128
	Highest	92.6	6.4	1	127
FI (Finland)	Lowest	67.9	31.7	0.4	201
	Low	83.5	14.6	1.8	200
	High	90	9.7	0.3	185
	Highest	92.1	7.9	0.0	216
FR (France)	Lowest	54	45.2	0.8	293
	Low	66.7	33.3	0.0	293
	High	82.6	16.8	0.6	294
	Highest	93.1	6.2	0.7	293
HR (Croatia)	Lowest	21.6	76.3	2	214
	Low	33.7	63.2	3.1	212
	High	46.5	47	6.5	214
	Highest	71.1	27.1	1.8	213
HU (Hungary)	Lowest	17.1	81.6	1.3	172
	Low	24.6	73.3	2.2	201
	High	31.2	66.1	2.7	186
	Highest	69.1	28.1	2.9	183
IE (Ireland)	Lowest	61.7	36.9	1.5	118
	Low	84.1	11.8	4.1	119
	High	83.2	15.4	1.4	121
	Highest	90.1	7.6	2.4	117
IT (Italy)	Lowest	47.4	50.9	1.8	125
	Low	66.4	29.9	3.7	123
	High	79.4	20.6	0.0	130
	Highest	76.8	20.9	2.2	120
LT (Lithuania)	Lowest	21.6	75.6	2.8	218
	Low	31.7	67.6	0.7	217
	High	52.4	45.8	1.8	219
	Highest	66.6	31.8	1.7	218
LU (Luxembourg)	Lowest	67.9	30.3	1.8	142
	Low	91	8.3	0.7	141
	High	93.8	6.2	0.0	140
	Highest	97.6	1.7	0.7	144
LV (Latvia)	Lowest	14.5	82.3	3.3	179
	Low	30.5	68.9	0.6	182
	High	50.8	46.9	2.3	176
	Highest	66.8	32	1.2	180
MK (FYR of Macedonia)	Lowest	8.5	89	2.5	219
	Low	14.2	84.1	1.7	221
	High	25.3	73.4	1.3	221
	Highest	37.9	59.9	2.2	218
MT (Malta)	Lowest	26	69.4	4.6	153
	Low	38.9	57.5	3.7	152
	High	61.5	35.2	3.2	153
	Highest	71.9	21.8	6.3	154
NL (Netherlands)	Lowest	69.1	30.1	0.8	201
	Low	88.5	11.5	0.0	201
	High	95.2	4.8	0.0	204
	Highest	98.6	1.4	0.0	199
NO (Norway)	Lowest	74.3	24.4	1.2	214
	Low	89.9	8.1	1.9	220
	High	93.2	5.5	1.3	225
	Highest	97.3	2.5	0.2	213
PL (Poland)	Lowest	19.6	78.9	1.5	263
	Low	29.1	69	1.9	276
	High	39.1	58.1	2.8	259
	Highest	68.4	28.6	3	267
PT (Portugal)	Lowest	31.3	68.2	0.6	106
	Low	41.3	55.7	3	104
	High	71.8	27.4	0.8	104
	Highest	79.4	19.5	1.1	105
RO (Romania)	Lowest	11.4	88.6	0.0	194
	Low	17.4	79.9	2.7	194
	High	36.9	59.5	3.6	190
	Highest	71	28.3	0.7	198
SE (Sweden)	Lowest	74.5	23.4	2.1	236
	Low	88.9	9.8	1.3	235
	High	95.6	4	0.5	244
	Highest	97.7	1	1.2	227
SI (Slovenia)	Lowest	50	49.6	0.3	187
	Low	66.8	32	1.3	169
	High	76.8	17.6	5.6	175
	Highest	92.4	5.7	1.9	182
SK (Slovakia)	Lowest	31	68.2	0.9	192
	Low	29.1	69.6	1.3	193
	High	50.9	46.7	2.4	191
	Highest	66.4	31.5	2.1	194
TR (Turkey)	Lowest	8.1	90	1.9	403
	Low	19.5	78.8	1.7	400
	High	28.9	66.4	4.7	413
	Highest	45.8	52.6	1.6	391
UK (United Kingdom)	Lowest	54.1	40.9	5	205
	Low	73.2	25.7	1.1	203
	High	81.6	16.2	2.3	202
	Highest	93.7	6.3	0.0	209
CC3	Lowest	9	89.1	1.9	836
	Low	20.3	77.9	1.8	833
	High	30.2	65	4.7	848
	Highest	47.8	50.6	1.6	822
EU 15	Lowest	52.6	45.1	2.4	2835
	Low	72.1	26.2	1.6	2784
	High	83.5	15.4	1.1	2839
	Highest	92.1	7.3	0.7	2829
NMS12	Lowest	18.6	80.1	1.2	2340
	Low	27.2	71.1	1.7	2363
	High	41.4	55.7	2.8	2353
	Highest	68.3	28.9	2.8	2353
EU 27	Lowest	44.2	53.7	2.1	5175
	Low	61.7	36.6	1.7	5147
	High	73.6	24.9	1.5	5192
	Highest	86	12.8	1.2	5182

Page last updated 24 March 2009

^Back to top of page