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2026-07-19 04:13:01
2026-07-19 04:13:01
nbs-nada-164-1369:0
NGA
Nigeria
2,025
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19
1
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23
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260
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null
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13
6
29
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23
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224
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null
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5
17
2
24
101
9
110
226
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null
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13
13
33
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7
96
209
null
null
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7
5
0
12
45
16
61
81
null
null
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6
3
12
22
3
25
78
null
null
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2
8
5
15
42
11
53
129
null
null
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9
15
2
26
159
14
173
298
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null
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12
2
19
45
5
50
94
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null
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20
86
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null
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10
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17
121
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15
0
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208
null
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13
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19
107
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206
null
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9
0
13
89
7
96
127
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11
0
20
82
17
99
146
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9
17
2
28
140
22
162
252
40
40
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:1
NGA
Nigeria
2,025
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14
63
0
77
234
36
270
443
null
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11
73
0
84
251
21
272
437
null
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11
76
3
90
280
21
301
468
null
null
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14
58
8
80
208
26
234
391
null
null
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17
54
5
76
191
25
216
423
null
null
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17
61
1
79
245
61
306
488
null
null
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13
50
1
64
176
25
201
345
null
null
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27
2
32
72
3
75
141
null
null
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27
0
34
117
17
134
213
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null
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13
40
0
53
152
20
172
272
null
null
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5
51
1
57
175
5
180
301
null
null
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5
26
1
32
89
6
95
160
null
null
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9
33
0
42
153
11
164
327
null
null
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10
14
5
29
163
27
190
296
null
null
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3
37
4
44
145
7
152
253
null
null
Adamawa
6
35
2
43
107
10
117
203
null
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4
45
4
53
150
8
158
465
null
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4
43
2
49
146
6
152
288
null
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7
46
2
55
162
8
170
373
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31
3
34
92
0
92
161
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6
32
2
40
109
9
118
338
-24.528302
17.647059
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:2
NGA
Nigeria
2,025
Akwa Ibom
6
13
3
22
28
7
35
89
null
Akwa Ibom
7
12
3
22
35
12
47
117
null
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6
9
1
16
32
10
42
87
null
null
Akwa Ibom
1
8
4
13
18
1
19
75
null
null
Akwa Ibom
7
13
2
22
39
10
49
98
null
null
Akwa Ibom
7
8
1
16
35
7
42
84
null
null
Akwa Ibom
9
15
4
28
63
12
75
125
null
null
Akwa Ibom
8
13
1
22
55
9
64
126
null
null
Akwa Ibom
7
14
2
23
75
15
90
164
null
null
Akwa Ibom
3
6
0
9
16
3
19
32
null
null
Akwa Ibom
5
10
2
17
32
6
38
75
null
null
Akwa Ibom
2
6
0
8
14
3
17
22
null
null
Akwa Ibom
5
4
3
12
24
15
39
66
null
null
Akwa Ibom
3
5
2
10
23
5
28
57
null
null
Akwa Ibom
6
5
2
13
35
12
47
84
null
null
Akwa Ibom
3
2
2
7
13
4
17
51
null
Akwa Ibom
7
8
2
17
34
15
49
95
null
Akwa Ibom
4
5
1
10
10
7
17
27
null
Akwa Ibom
6
5
1
12
29
13
42
69
Akwa Ibom
13
8
3
24
24
17
41
86
Akwa Ibom
2
11
1
14
21
2
23
41
-17.647059
-41.666667
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:3
NGA
Nigeria
2,025
Anambra
14
41
17
72
152
20
172
526
null
Anambra
9
55
16
80
147
9
156
575
null
Anambra
15
31
20
66
138
18
156
418
null
null
Anambra
12
39
11
62
142
17
159
411
null
null
Anambra
24
25
10
59
156
45
201
577
null
null
Anambra
15
20
3
38
103
22
125
376
null
null
Anambra
11
11
7
29
45
18
63
160
null
null
Anambra
15
20
7
42
103
20
123
301
null
null
Anambra
10
20
10
40
121
14
135
344
null
null
Anambra
4
8
3
15
76
3
79
161
null
null
Anambra
10
11
13
34
60
12
72
273
null
null
Anambra
10
18
6
34
90
19
109
252
null
null
Anambra
8
13
11
32
71
9
80
288
null
null
Anambra
11
16
4
31
73
13
86
222
null
null
Anambra
9
11
3
23
68
11
79
184
null
null
Anambra
9
11
1
21
49
15
64
140
null
Anambra
7
17
1
25
103
12
115
274
null
Anambra
9
9
1
19
72
24
96
146
null
Anambra
8
16
4
28
82
16
98
247
Anambra
9
21
4
34
91
13
104
274
Anambra
9
21
7
37
82
20
102
348
48
8.823529
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:4
NGA
Nigeria
2,025
Bauchi
45
108
1
154
685
90
775
1182
null
Bauchi
52
78
1
131
634
115
749
1,138
null
Bauchi
33
72
0
105
418
46
464
737
null
null
Bauchi
39
86
5
130
627
79
706
1,010
null
null
Bauchi
64
149
4
217
882
156
1,038
1,600
null
null
Bauchi
40
99
1
140
499
73
572
1105
null
null
Bauchi
27
61
2
90
351
79
430
652
null
null
Bauchi
29
95
5
129
436
94
530
855
null
null
Bauchi
42
79
1
122
523
93
616
888
null
null
Bauchi
43
56
11
110
473
139
612
826
null
null
Bauchi
33
66
1
100
399
84
483
656
null
null
Bauchi
13
35
3
51
159
16
175
309
null
null
Bauchi
23
59
1
83
361
46
407
657
null
null
Bauchi
25
72
2
99
442
45
487
812
null
null
Bauchi
24
31
0
55
305
54
359
578
null
null
Bauchi
11
35
0
46
260
17
277
411
null
Bauchi
18
62
3
83
395
36
431
670
null
Bauchi
22
46
0
68
314
41
355
465
null
Bauchi
23
60
5
88
402
58
460
686
Bauchi
14
34
1
49
223
25
248
372
Bauchi
37
69
0
106
612
60
672
895
27.710843
116.326531
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:5
NGA
Nigeria
2,025
Bayelsa
0
1
0
1
3
0
3
3
null
Bayelsa
0
6
1
7
15
0
15
29
null
Bayelsa
2
5
3
10
19
3
22
42
null
null
Bayelsa
3
9
7
19
23
8
31
72
null
null
Bayelsa
3
9
0
12
37
24
61
80
null
null
Bayelsa
2
16
5
23
61
2
63
140
null
null
Bayelsa
1
11
3
15
25
4
29
82
null
null
Bayelsa
1
7
4
12
16
1
17
73
null
null
Bayelsa
1
5
2
8
17
1
18
27
null
null
Bayelsa
2
2
2
6
11
1
12
28
null
null
Bayelsa
2
5
0
7
30
8
38
53
null
null
Bayelsa
0
2
3
5
2
0
2
22
null
null
Bayelsa
0
2
1
3
14
0
14
17
null
null
Bayelsa
4
7
2
13
26
5
31
113
null
null
Bayelsa
1
6
2
9
16
6
22
47
null
null
Bayelsa
1
4
0
5
18
1
19
27
null
Bayelsa
0
5
0
5
13
0
13
26
null
Bayelsa
1
9
0
10
28
1
29
51
null
Bayelsa
2
8
3
13
15
2
17
49
Bayelsa
2
8
1
11
18
3
21
47
Bayelsa
1
12
3
16
25
4
29
72
220
45.454545
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:6
NGA
Nigeria
2,025
Benue
10
43
24
77
177
25
202
254
null
Benue
10
27
15
52
123
15
138
187
null
Benue
7
59
3
69
170
19
189
236
null
null
Benue
10
37
6
53
159
18
177
245
null
null
Benue
6
44
3
53
123
9
132
165
null
null
Benue
18
52
4
74
221
27
248
461
null
null
Benue
26
58
0
84
273
51
324
559
null
null
Benue
9
57
4
70
227
16
243
404
null
null
Benue
20
49
4
73
225
24
249
395
null
null
Benue
3
27
7
37
84
4
88
226
null
null
Benue
19
38
0
57
156
29
185
302
null
null
Benue
10
45
0
55
176
13
189
320
null
null
Benue
13
25
4
42
114
23
137
227
null
null
Benue
25
53
5
83
317
49
366
692
null
null
Benue
14
50
5
69
267
37
304
501
null
null
Benue
13
30
2
45
121
25
146
231
null
Benue
13
31
5
49
143
22
165
333
null
Benue
14
46
9
69
207
27
234
454
null
Benue
4
36
6
46
135
9
144
269
Benue
13
55
10
78
209
17
226
413
Benue
11
29
9
49
97
16
113
299
0
-37.179487
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:7
NGA
Nigeria
2,025
Borno
8
17
0
25
67
16
83
118
null
Borno
8
23
0
31
78
24
102
149
null
Borno
2
15
0
17
65
4
69
103
null
null
Borno
2
14
1
17
110
3
113
188
null
null
Borno
4
17
0
21
70
5
75
152
null
null
Borno
9
16
0
25
114
25
139
187
null
null
Borno
3
10
0
13
57
7
64
94
null
null
Borno
7
18
0
25
154
22
176
222
null
null
Borno
10
28
1
39
207
66
273
375
null
null
Borno
6
17
3
26
76
9
85
115
null
null
Borno
9
43
2
54
164
13
177
315
null
null
Borno
9
19
0
28
93
17
110
199
null
null
Borno
4
15
0
19
210
5
215
313
null
null
Borno
2
22
2
26
173
3
176
219
null
null
Borno
3
8
1
12
26
3
29
44
null
null
Borno
3
9
1
13
42
5
47
85
null
Borno
9
28
3
40
150
47
197
227
null
Borno
13
25
1
39
183
36
219
264
null
Borno
13
37
3
53
230
33
263
359
Borno
8
37
4
49
174
22
196
406
Borno
8
33
7
48
161
13
174
300
20
-2.040816
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:8
NGA
Nigeria
2,025
Cross River
9
19
5
33
65
11
76
164
null
Cross River
12
13
0
25
50
30
80
135
null
Cross River
5
20
4
29
74
5
79
149
null
null
Cross River
8
26
3
37
144
15
159
229
null
null
Cross River
15
31
8
54
133
20
153
248
null
null
Cross River
5
13
3
21
71
8
79
135
null
null
Cross River
14
14
1
29
60
18
78
115
null
null
Cross River
9
14
5
28
48
17
65
140
null
null
Cross River
12
21
6
39
81
21
102
257
null
null
Cross River
5
7
0
12
35
7
42
76
null
null
Cross River
9
15
3
27
85
22
107
206
null
null
Cross River
3
11
4
18
25
12
37
141
null
null
Cross River
9
14
3
26
42
16
58
130
null
null
Cross River
9
20
3
32
112
15
127
180
null
null
Cross River
7
10
3
20
36
8
44
92
null
null
Cross River
5
10
2
17
34
6
40
87
null
Cross River
10
18
2
30
81
19
100
145
null
Cross River
14
16
6
36
69
20
89
142
null
Cross River
5
19
7
31
46
6
52
122
Cross River
2
11
5
18
48
3
51
107
Cross River
6
17
2
25
77
11
88
134
-16.666667
38.888889
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:9
NGA
Nigeria
2,025
Delta
25
36
6
67
182
36
218
407
null
Delta
21
39
11
71
196
51
247
482
null
Delta
9
28
4
41
136
16
152
311
null
null
Delta
11
28
6
45
122
23
145
279
null
null
Delta
21
28
9
58
172
30
202
452
null
null
Delta
30
44
7
81
227
62
289
568
null
null
Delta
23
30
13
66
173
32
205
390
null
null
Delta
11
28
5
44
137
25
162
255
null
null
Delta
17
25
6
48
174
30
204
306
null
null
Delta
12
7
3
22
87
34
121
174
null
null
Delta
9
13
6
28
84
17
101
224
null
null
Delta
15
11
4
30
63
15
78
154
null
null
Delta
11
26
1
38
123
29
152
303
null
null
Delta
10
17
4
31
76
18
94
173
null
null
Delta
11
24
2
37
144
17
161
264
null
null
Delta
7
14
4
25
65
10
75
114
null
Delta
7
27
6
40
126
8
134
359
null
Delta
7
26
3
36
111
29
140
289
null
Delta
11
18
3
32
92
22
114
319
Delta
8
37
3
48
139
13
152
323
Delta
12
27
1
40
112
14
126
315
0
-16.666667
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:10
NGA
Nigeria
2,025
Ebonyi
10
16
1
27
82
11
93
200
null
Ebonyi
10
19
2
31
121
27
148
274
null
Ebonyi
9
19
1
29
82
15
97
185
null
null
Ebonyi
9
18
7
34
100
18
118
272
null
null
Ebonyi
14
13
3
30
87
29
116
171
null
null
Ebonyi
11
17
5
33
87
22
109
217
null
null
Ebonyi
8
15
2
25
76
10
86
171
null
null
Ebonyi
11
37
6
54
85
17
102
313
null
null
Ebonyi
9
39
7
55
118
19
137
368
null
null
Ebonyi
9
30
10
49
131
14
145
366
null
null
Ebonyi
15
29
4
48
97
43
140
294
null
null
Ebonyi
7
12
0
19
39
10
49
104
null
null
Ebonyi
8
15
2
25
72
11
83
129
null
null
Ebonyi
8
18
17
43
60
19
79
148
null
null
Ebonyi
9
9
0
18
45
12
57
105
null
null
Ebonyi
9
9
4
22
29
11
40
94
null
Ebonyi
8
21
2
31
90
15
105
258
null
Ebonyi
4
13
4
21
34
5
39
125
null
Ebonyi
14
24
2
40
99
38
137
408
Ebonyi
9
8
2
19
29
13
42
78
Ebonyi
9
20
1
30
75
18
93
220
-3.225806
57.894737
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:11
NGA
Nigeria
2,025
Edo
20
29
6
55
118
32
150
311
null
Edo
20
30
6
56
140
51
191
386
null
Edo
19
30
9
58
154
34
188
370
null
null
Edo
19
36
11
66
158
33
191
419
null
null
Edo
24
31
8
63
125
40
165
397
null
null
Edo
21
42
14
77
176
54
230
569
null
null
Edo
21
31
6
58
207
36
243
447
null
null
Edo
20
31
9
60
133
28
161
487
null
null
Edo
15
34
14
63
142
23
165
487
null
null
Edo
14
37
4
55
183
41
224
426
null
null
Edo
27
28
16
71
222
50
272
724
null
null
Edo
10
20
3
33
79
16
95
266
null
null
Edo
12
29
5
46
102
16
118
247
null
null
Edo
21
28
12
61
159
39
198
401
null
null
Edo
13
29
8
50
117
16
133
317
null
null
Edo
9
23
3
35
99
12
111
245
null
Edo
21
21
7
49
129
28
157
357
null
Edo
12
31
10
53
159
47
206
396
null
Edo
16
31
6
53
164
28
192
561
Edo
22
27
8
57
148
53
201
468
Edo
14
23
8
45
117
18
135
336
-8.163265
-21.052632
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:12
NGA
Nigeria
2,025
Ekiti
8
20
2
30
71
9
80
185
null
Ekiti
10
19
2
31
101
13
114
175
null
Ekiti
13
23
5
41
98
20
118
252
null
null
Ekiti
7
31
6
44
127
10
137
287
null
null
Ekiti
3
17
7
27
62
5
67
178
null
null
Ekiti
3
14
2
19
35
3
38
74
null
null
Ekiti
7
17
7
31
58
13
71
174
null
null
Ekiti
7
12
1
20
46
16
62
100
null
null
Ekiti
8
10
1
19
40
9
49
101
null
null
Ekiti
1
14
7
22
48
2
50
120
null
null
Ekiti
6
17
5
28
51
9
60
117
null
null
Ekiti
10
15
4
29
53
23
76
146
null
null
Ekiti
2
18
4
24
37
2
39
80
null
null
Ekiti
7
16
1
24
55
9
64
114
null
null
Ekiti
3
16
2
21
60
3
63
120
null
null
Ekiti
5
15
1
21
53
7
60
125
null
Ekiti
4
14
2
20
118
6
124
205
null
Ekiti
4
9
4
17
47
4
51
87
null
Ekiti
3
23
2
28
39
3
42
76
Ekiti
0
16
0
16
48
0
48
68
Ekiti
5
12
0
17
42
5
47
93
-15
6.25
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:13
NGA
Nigeria
2,025
Enugu
9
24
11
44
116
30
146
387
null
Enugu
24
36
6
66
222
37
259
505
null
Enugu
13
34
19
66
157
22
179
453
null
null
Enugu
21
52
24
97
270
28
298
748
null
null
Enugu
16
29
11
56
134
21
155
348
null
null
Enugu
21
28
8
57
211
38
249
600
null
null
Enugu
16
43
11
70
215
24
239
491
null
null
Enugu
12
32
4
48
177
18
195
400
null
null
Enugu
12
41
3
56
157
19
176
481
null
null
Enugu
10
23
4
37
99
21
120
237
null
null
Enugu
13
25
6
44
129
40
169
284
null
null
Enugu
13
16
3
32
96
31
127
248
null
null
Enugu
9
29
4
42
193
16
209
332
null
null
Enugu
12
28
4
44
164
24
188
363
null
null
Enugu
11
30
5
46
175
35
210
445
null
null
Enugu
8
17
3
28
66
14
80
272
null
Enugu
16
40
9
65
190
36
226
582
null
Enugu
22
37
13
72
209
49
258
587
null
Enugu
23
40
1
64
162
46
208
509
Enugu
18
25
3
46
142
42
184
357
Enugu
14
53
5
72
266
21
287
642
10.769231
56.521739
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:14
NGA
Nigeria
2,025
FCT
71
182
59
312
572
90
662
1543
null
FCT
41
177
60
278
518
56
574
1,289
null
FCT
31
168
53
252
483
37
520
1273
null
null
FCT
44
199
64
307
562
57
619
1,629
null
null
FCT
50
190
40
280
621
66
687
1,424
null
null
FCT
43
186
90
319
467
56
523
1609
null
null
FCT
80
353
105
538
1,028
111
1,139
2664
null
null
FCT
56
314
94
464
784
109
893
2399
null
null
FCT
79
345
58
482
791
127
918
2,103
null
null
FCT
71
245
66
382
667
100
767
1,663
null
null
FCT
52
214
54
320
653
65
718
1,713
null
null
FCT
63
216
70
349
607
82
689
1,824
null
null
FCT
47
199
50
296
548
69
617
1,635
null
null
FCT
43
178
52
273
504
62
566
1,531
null
null
FCT
47
191
54
292
695
71
766
1,837
null
null
FCT
37
95
27
159
323
56
379
881
null
FCT
31
121
29
181
397
55
452
973
null
FCT
22
106
19
147
308
35
343
797
null
FCT
28
134
43
205
422
39
461
1,225
FCT
49
157
43
249
497
56
553
1,307
FCT
27
135
35
197
408
62
470
990
8.839779
-20.883534
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:15
NGA
Nigeria
2,025
Gombe
18
50
2
70
231
26
257
459
null
Gombe
11
59
2
72
232
31
263
388
null
Gombe
15
76
2
93
239
28
267
427
null
null
Gombe
10
60
3
73
218
13
231
334
null
null
Gombe
17
71
2
90
256
30
286
472
null
null
Gombe
10
63
0
73
274
16
290
415
null
null
Gombe
13
67
1
81
199
35
234
357
null
null
Gombe
6
49
3
58
165
9
174
298
null
null
Gombe
27
84
4
115
363
47
410
656
null
null
Gombe
12
48
1
61
240
26
266
394
null
null
Gombe
17
42
1
60
220
30
250
388
null
null
Gombe
7
29
4
40
140
11
151
302
null
null
Gombe
18
96
4
118
464
29
493
827
null
null
Gombe
20
64
4
88
349
44
393
865
null
null
Gombe
19
47
5
71
243
33
276
489
null
null
Gombe
8
49
3
60
226
13
239
395
null
Gombe
19
72
1
92
284
31
315
725
null
Gombe
15
61
21
97
421
32
453
763
null
Gombe
16
45
3
64
206
37
243
348
Gombe
15
44
1
60
261
16
277
416
Gombe
30
54
2
86
387
56
443
631
-6.521739
43.333333
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:16
NGA
Nigeria
2,025
Imo
9
20
2
31
91
15
106
230
null
Imo
7
7
2
16
71
17
88
116
null
Imo
6
13
4
23
64
14
78
145
null
null
Imo
9
15
3
27
85
16
101
251
null
null
Imo
11
25
1
37
130
22
152
328
null
null
Imo
7
16
3
26
54
17
71
134
null
null
Imo
5
13
2
20
46
9
55
94
null
null
Imo
3
12
2
17
45
4
49
145
null
null
Imo
9
21
1
31
97
21
118
235
null
null
Imo
9
8
1
18
58
11
69
123
null
null
Imo
6
11
3
20
37
8
45
120
null
null
Imo
7
10
3
20
107
10
117
211
null
null
Imo
12
13
4
29
72
24
96
197
null
null
Imo
18
13
3
34
134
36
170
279
null
null
Imo
6
6
0
12
74
21
95
127
null
null
Imo
4
9
1
14
39
1
40
93
null
Imo
6
14
1
21
55
12
67
148
null
Imo
8
18
3
29
124
21
145
264
null
Imo
6
23
2
31
101
16
117
254
Imo
5
3
1
9
18
16
34
49
Imo
8
15
1
24
55
13
68
162
14.285714
166.666667
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:17
NGA
Nigeria
2,025
Jigawa
27
61
4
92
318
64
382
628
null
Jigawa
15
50
2
67
264
35
299
443
null
Jigawa
22
41
0
63
370
46
416
499
null
null
Jigawa
23
70
1
94
312
65
377
560
null
null
Jigawa
34
94
1
129
510
62
572
858
null
null
Jigawa
18
83
1
102
417
37
454
724
null
null
Jigawa
13
74
1
88
333
46
379
594
null
null
Jigawa
22
124
1
147
503
46
549
842
null
null
Jigawa
44
134
1
179
624
44
668
1,043
null
null
Jigawa
23
105
1
129
400
26
426
717
null
null
Jigawa
29
77
1
107
291
53
344
591
null
null
Jigawa
12
52
0
64
217
21
238
386
null
null
Jigawa
18
93
3
114
460
36
496
769
null
null
Jigawa
17
75
3
95
308
41
349
526
null
null
Jigawa
17
43
0
60
185
26
211
366
null
null
Jigawa
28
89
0
117
539
73
612
961
null
Jigawa
38
73
2
113
559
269
828
1,319
null
Jigawa
22
64
2
88
359
39
398
921
null
Jigawa
17
75
10
102
424
24
448
674
Jigawa
16
60
2
78
283
34
317
489
Jigawa
29
84
4
117
427
78
505
830
3.539823
50
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:18
NGA
Nigeria
2,025
Kaduna
93
175
13
281
1,010
224
1,234
2234
null
Kaduna
104
147
5
256
1,149
196
1,345
2,151
null
Kaduna
94
126
2
222
837
217
1,054
1790
null
null
Kaduna
58
111
5
174
684
144
828
1,471
null
null
Kaduna
60
112
5
177
691
120
811
1,436
null
null
Kaduna
82
106
9
197
887
197
1084
1818
null
null
Kaduna
73
106
2
181
717
177
894
1586
null
null
Kaduna
64
120
8
192
744
164
908
1462
null
null
Kaduna
69
132
4
205
810
142
952
1,728
null
null
Kaduna
65
129
9
203
782
139
921
1,730
null
null
Kaduna
61
117
12
190
755
119
874
1,489
null
null
Kaduna
42
71
4
117
481
82
563
1,038
null
null
Kaduna
71
131
7
209
889
150
1,039
1,838
null
null
Kaduna
68
107
5
180
828
171
999
1,706
null
null
Kaduna
49
106
2
157
765
124
889
1,559
null
null
Kaduna
36
82
6
124
504
106
610
1,200
null
Kaduna
68
116
7
191
909
174
1,083
1,871
null
Kaduna
70
141
5
216
925
127
1,052
2,113
null
Kaduna
65
128
5
198
948
140
1,088
2,078
Kaduna
49
84
8
141
608
105
713
1,252
Kaduna
53
116
6
175
689
144
833
1,607
-8.376963
24.113475
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:19
NGA
Nigeria
2,025
Kano
54
46
2
102
499
194
693
1013
null
Kano
33
100
4
137
604
100
704
1,013
null
Kano
22
47
1
70
286
57
343
480
null
null
Kano
15
17
0
32
131
53
184
283
null
null
Kano
21
19
0
40
190
40
230
385
null
null
Kano
42
48
2
92
417
138
555
782
null
null
Kano
37
53
1
91
406
74
480
683
null
null
Kano
34
65
5
104
330
57
387
631
null
null
Kano
51
69
0
120
411
94
505
781
null
null
Kano
23
39
4
66
309
69
378
587
null
null
Kano
22
60
5
87
272
46
318
556
null
null
Kano
15
27
1
43
132
24
156
240
null
null
Kano
23
35
1
59
265
62
327
461
null
null
Kano
14
39
1
54
236
30
266
495
null
null
Kano
24
23
1
48
233
74
307
426
null
null
Kano
14
20
1
35
177
59
236
322
null
Kano
14
36
2
52
162
26
188
312
null
Kano
29
39
2
70
371
82
453
600
null
Kano
29
66
0
95
382
83
465
622
Kano
27
56
2
85
253
62
315
511
Kano
34
81
4
119
510
72
582
989
128.846154
40
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:20
NGA
Nigeria
2,025
Katsina
19
54
4
77
277
39
316
421
null
Katsina
19
52
0
71
287
29
316
469
null
Katsina
20
19
0
39
148
40
188
229
null
null
Katsina
15
3
0
18
98
33
131
138
null
null
Katsina
6
4
0
10
38
13
51
73
null
null
Katsina
12
1
0
13
76
37
113
143
null
null
Katsina
14
12
0
26
131
22
153
197
null
null
Katsina
26
28
0
54
221
77
298
417
null
null
Katsina
14
22
0
36
169
32
201
278
null
null
Katsina
13
10
0
23
143
29
172
206
null
null
Katsina
17
20
0
37
131
34
165
242
null
null
Katsina
6
12
0
18
78
13
91
132
null
null
Katsina
13
27
0
40
207
45
252
356
null
null
Katsina
16
19
0
35
133
38
171
242
null
null
Katsina
10
16
0
26
107
18
125
226
null
null
Katsina
8
9
0
17
90
26
116
123
null
Katsina
10
17
1
28
148
42
190
264
null
Katsina
14
23
0
37
339
56
395
558
null
Katsina
8
10
0
18
104
22
126
169
Katsina
11
18
0
29
95
25
120
267
Katsina
6
24
1
31
224
10
234
316
10.714286
6.896552
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:21
NGA
Nigeria
2,025
Kebbi
21
33
4
58
222
56
278
387
null
Kebbi
13
31
0
44
139
21
160
263
null
Kebbi
4
47
2
53
130
4
134
220
null
null
Kebbi
15
39
0
54
159
59
218
312
null
null
Kebbi
16
44
2
62
248
28
276
378
null
null
Kebbi
7
46
4
57
229
22
251
350
null
null
Kebbi
10
29
0
39
138
13
151
180
null
null
Kebbi
16
36
0
52
154
39
193
259
null
null
Kebbi
16
28
0
44
186
43
229
391
null
null
Kebbi
9
18
0
27
128
62
190
252
null
null
Kebbi
10
25
2
37
89
24
113
207
null
null
Kebbi
0
10
0
10
14
0
14
21
null
null
Kebbi
15
35
0
50
219
40
259
606
null
null
Kebbi
11
22
0
33
250
41
291
449
null
null
Kebbi
11
16
0
27
65
16
81
161
null
null
Kebbi
9
20
1
30
99
32
131
274
null
Kebbi
13
27
0
40
210
26
236
322
null
Kebbi
18
20
0
38
161
39
200
284
null
Kebbi
11
22
0
33
179
18
197
351
Kebbi
3
21
1
25
62
4
66
104
Kebbi
6
19
0
25
117
8
125
224
-37.5
0
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:22
NGA
Nigeria
2,025
Kogi
23
82
17
122
335
55
390
851
null
Kogi
38
83
22
143
425
94
519
1,361
null
Kogi
21
57
19
97
246
25
271
705
null
null
Kogi
22
59
14
95
280
42
322
786
null
null
Kogi
36
84
17
137
428
68
496
1,207
null
null
Kogi
41
86
15
142
474
95
569
1449
null
null
Kogi
35
83
21
139
395
81
476
1242
null
null
Kogi
21
72
17
110
305
36
341
838
null
null
Kogi
40
88
10
138
413
81
494
1,287
null
null
Kogi
30
61
6
97
313
64
377
718
null
null
Kogi
31
68
8
107
360
57
417
995
null
null
Kogi
27
58
11
96
355
52
407
815
null
null
Kogi
32
71
4
107
355
65
420
1,015
null
null
Kogi
38
70
13
121
500
83
583
1,141
null
null
Kogi
36
60
9
105
330
89
419
853
null
null
Kogi
21
44
11
76
253
27
280
685
null
Kogi
28
44
6
78
336
51
387
765
null
Kogi
52
51
9
112
566
104
670
1,354
null
Kogi
27
47
10
84
334
78
412
893
Kogi
26
31
8
65
200
34
234
519
Kogi
30
48
10
88
481
84
565
1,107
12.820513
35.384615
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:23
NGA
Nigeria
2,025
Kwara
26
64
12
102
313
60
373
694
null
Kwara
25
62
13
100
369
69
438
680
null
Kwara
32
63
13
108
368
80
448
750
null
null
Kwara
9
55
14
78
255
21
276
551
null
null
Kwara
35
63
10
108
365
76
441
782
null
null
Kwara
32
55
7
94
315
86
401
635
null
null
Kwara
39
42
12
93
342
67
409
727
null
null
Kwara
17
62
1
80
267
30
297
643
null
null
Kwara
24
64
3
91
252
54
306
632
null
null
Kwara
28
60
3
91
328
54
382
663
null
null
Kwara
18
55
4
77
288
37
325
633
null
null
Kwara
23
43
7
73
222
51
273
506
null
null
Kwara
24
44
7
75
316
57
373
605
null
null
Kwara
28
38
8
74
300
70
370
709
null
null
Kwara
15
34
3
52
210
44
254
405
null
null
Kwara
14
37
2
53
198
32
230
395
null
Kwara
17
33
4
54
233
56
289
507
null
Kwara
25
39
3
67
294
83
377
582
null
Kwara
18
53
2
73
311
28
339
604
Kwara
15
57
8
80
248
22
270
532
Kwara
23
55
7
85
244
47
291
642
57.407407
6.25
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:24
NGA
Nigeria
2,025
Lagos
14
61
38
113
181
21
202
602
null
Lagos
23
73
55
151
243
26
269
709
null
Lagos
28
75
42
145
266
47
313
717
null
null
Lagos
29
76
36
141
233
41
274
689
null
null
Lagos
24
84
51
159
262
43
305
751
null
null
Lagos
25
98
75
198
276
48
324
1118
null
null
Lagos
23
74
51
148
209
32
241
720
null
null
Lagos
20
74
52
146
201
57
258
699
null
null
Lagos
37
80
50
167
268
42
310
808
null
null
Lagos
18
60
35
113
230
40
270
613
null
null
Lagos
35
58
45
138
209
52
261
689
null
null
Lagos
18
64
24
106
164
34
198
508
null
null
Lagos
13
47
41
101
127
17
144
475
null
null
Lagos
15
62
36
113
165
18
183
540
null
null
Lagos
22
77
48
147
186
31
217
657
null
null
Lagos
21
54
32
107
161
24
185
513
null
Lagos
29
86
41
156
260
46
306
780
null
Lagos
30
85
38
153
254
36
290
768
null
Lagos
28
69
47
144
234
35
269
736
Lagos
21
79
38
138
211
42
253
775
Lagos
27
77
37
141
194
40
234
848
-9.615385
2.173913
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:25
NGA
Nigeria
2,025
Nasarawa
42
112
46
200
513
65
578
961
null
Nasarawa
37
100
39
176
452
77
529
931
null
Nasarawa
37
182
23
242
600
53
653
1106
null
null
Nasarawa
27
148
37
212
535
33
568
921
null
null
Nasarawa
44
207
12
263
686
59
745
1,417
null
null
Nasarawa
47
189
11
247
556
70
626
1225
null
null
Nasarawa
37
191
9
237
602
65
667
1286
null
null
Nasarawa
36
195
10
241
626
78
704
1210
null
null
Nasarawa
34
189
11
234
580
57
637
1,216
null
null
Nasarawa
18
118
7
143
315
23
338
565
null
null
Nasarawa
31
167
10
208
532
55
587
1,108
null
null
Nasarawa
23
128
11
162
411
37
448
826
null
null
Nasarawa
25
153
34
212
555
32
587
993
null
null
Nasarawa
24
138
7
169
438
41
479
885
null
null
Nasarawa
35
125
4
164
485
55
540
870
null
null
Nasarawa
10
88
3
101
303
17
320
549
null
Nasarawa
27
83
17
127
436
37
473
928
null
Nasarawa
31
125
1
157
462
64
526
878
null
Nasarawa
11
79
3
93
243
15
258
479
Nasarawa
25
66
9
100
281
47
328
601
Nasarawa
31
64
3
98
259
64
323
519
-22.834646
-2
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:26
NGA
Nigeria
2,025
Niger
27
80
3
110
347
91
438
653
null
Niger
25
82
1
108
492
93
585
809
null
Niger
47
98
3
148
516
103
619
946
null
null
Niger
64
151
4
219
577
150
727
1,227
null
null
Niger
50
129
1
180
759
108
867
1,377
null
null
Niger
62
80
4
146
754
155
909
1580
null
null
Niger
34
92
2
128
456
75
531
855
null
null
Niger
19
100
5
124
308
41
349
546
null
null
Niger
44
97
4
145
553
96
649
1,075
null
null
Niger
34
83
6
123
407
94
501
895
null
null
Niger
39
107
4
150
499
78
577
1,042
null
null
Niger
27
69
5
101
382
56
438
779
null
null
Niger
39
59
1
99
649
97
746
1,048
null
null
Niger
38
85
4
127
433
119
552
1,115
null
null
Niger
38
81
2
121
441
94
535
826
null
null
Niger
33
50
1
84
369
113
482
788
null
Niger
52
69
6
127
760
152
912
1,570
null
Niger
42
86
6
134
786
164
950
1,589
null
Niger
34
62
4
100
380
69
449
868
Niger
22
52
4
78
284
82
366
563
Niger
31
87
5
123
486
91
577
963
-3.149606
57.692308
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:27
NGA
Nigeria
2,025
Ogun
59
160
60
279
548
83
631
1678
null
Ogun
58
173
68
299
670
82
752
1,908
null
Ogun
73
185
79
337
637
121
758
1980
null
null
Ogun
59
169
71
299
618
98
716
1,889
null
null
Ogun
71
169
46
286
633
129
762
1,920
null
null
Ogun
63
158
47
268
656
126
782
1915
null
null
Ogun
54
150
35
239
595
90
685
1586
null
null
Ogun
69
175
62
306
718
102
820
1817
null
null
Ogun
56
192
53
301
663
77
740
1,737
null
null
Ogun
60
175
34
269
707
113
820
1,742
null
null
Ogun
67
172
44
283
621
97
718
1,777
null
null
Ogun
51
133
28
212
584
82
666
1,479
null
null
Ogun
66
114
22
202
521
102
623
1,343
null
null
Ogun
53
131
16
200
542
98
640
1,266
null
null
Ogun
57
102
20
179
519
92
611
1,371
null
null
Ogun
47
114
29
190
477
91
568
1,506
null
Ogun
62
124
57
243
566
87
653
1,849
null
Ogun
57
128
43
228
486
95
581
1,555
null
Ogun
64
162
60
286
703
119
822
1,987
Ogun
68
134
59
261
535
101
636
1,973
Ogun
51
133
53
237
466
83
549
1,555
-2.469136
-9.195402
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:28
NGA
Nigeria
2,025
Ondo
49
56
9
114
320
84
404
899
null
Ondo
32
76
7
115
290
43
333
752
null
Ondo
32
68
14
114
299
47
346
772
null
null
Ondo
31
62
3
96
251
51
302
580
null
null
Ondo
39
78
17
134
247
62
309
797
null
null
Ondo
33
82
12
127
355
54
409
1038
null
null
Ondo
25
74
15
114
244
35
279
529
null
null
Ondo
34
99
6
139
356
59
415
1034
null
null
Ondo
23
78
8
109
247
33
280
593
null
null
Ondo
23
71
5
99
239
43
282
618
null
null
Ondo
29
76
8
113
278
39
317
668
null
null
Ondo
26
38
4
68
161
44
205
433
null
null
Ondo
35
60
5
100
264
54
318
704
null
null
Ondo
20
58
6
84
245
35
280
537
null
null
Ondo
35
52
7
94
226
50
276
591
null
null
Ondo
19
38
7
64
122
41
163
324
null
Ondo
21
55
11
87
185
44
229
506
null
Ondo
18
79
3
100
240
52
292
603
null
Ondo
29
68
9
106
256
37
293
680
Ondo
20
62
2
84
267
42
309
588
Ondo
19
67
6
92
300
45
345
654
5.747126
9.52381
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:29
NGA
Nigeria
2,025
Osun
34
65
10
109
292
52
344
711
null
Osun
22
72
11
105
317
43
360
749
null
Osun
24
55
8
87
250
52
302
615
null
null
Osun
35
57
13
105
324
82
406
866
null
null
Osun
27
64
16
107
302
63
365
813
null
null
Osun
23
67
12
102
376
29
405
883
null
null
Osun
15
56
7
78
245
20
265
588
null
null
Osun
10
80
5
95
327
30
357
823
null
null
Osun
19
73
9
101
319
39
358
795
null
null
Osun
10
54
5
69
255
13
268
559
null
null
Osun
18
58
13
89
230
54
284
639
null
null
Osun
20
36
11
67
239
41
280
571
null
null
Osun
26
54
16
96
287
47
334
712
null
null
Osun
29
61
10
100
376
96
472
863
null
null
Osun
26
55
6
87
291
37
328
700
null
null
Osun
22
41
4
67
263
44
307
626
null
Osun
15
45
11
71
250
22
272
612
null
Osun
20
51
2
73
194
32
226
682
null
Osun
12
40
1
53
212
24
236
495
Osun
12
60
8
80
289
16
305
723
Osun
22
75
5
102
310
35
345
776
43.661972
27.5
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:30
NGA
Nigeria
2,025
Oyo
41
89
25
155
385
68
453
1120
null
Oyo
56
107
13
176
399
103
502
1,169
null
Oyo
46
96
10
152
400
85
485
1009
null
null
Oyo
34
93
10
137
344
58
402
888
null
null
Oyo
53
98
12
163
494
93
587
1,213
null
null
Oyo
46
113
14
173
540
73
613
1337
null
null
Oyo
51
107
13
171
378
64
442
1084
null
null
Oyo
45
115
6
166
514
84
598
1243
null
null
Oyo
53
108
4
165
423
84
507
984
null
null
Oyo
32
69
5
106
247
53
300
591
null
null
Oyo
55
83
6
144
370
94
464
779
null
null
Oyo
36
74
8
118
332
45
377
737
null
null
Oyo
38
82
7
127
372
78
450
828
null
null
Oyo
40
77
14
131
298
68
366
967
null
null
Oyo
41
83
9
133
421
103
524
1,056
null
null
Oyo
36
86
7
129
368
67
435
792
null
Oyo
53
92
16
161
401
90
491
1,097
null
Oyo
46
91
14
151
412
78
490
1,026
null
Oyo
44
100
11
155
468
69
537
1,133
Oyo
41
90
18
149
386
49
435
950
Oyo
44
95
35
174
388
71
459
1,141
8.074534
16.778523
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:31
NGA
Nigeria
2,025
Plateau
8
20
17
45
123
17
140
255
null
Plateau
10
25
13
48
130
15
145
251
null
Plateau
13
68
18
99
283
23
306
579
null
null
Plateau
13
56
8
77
249
25
274
417
null
null
Plateau
17
51
6
74
261
34
295
529
null
null
Plateau
22
51
0
73
270
36
306
508
null
null
Plateau
21
37
4
62
184
39
223
627
null
null
Plateau
16
51
13
80
227
32
259
552
null
null
Plateau
18
56
10
84
254
29
283
522
null
null
Plateau
23
70
7
100
420
55
475
824
null
null
Plateau
11
46
4
61
194
33
227
400
null
null
Plateau
4
35
5
44
100
4
104
178
null
null
Plateau
13
57
4
74
244
28
272
461
null
null
Plateau
11
63
3
77
185
15
200
426
null
null
Plateau
11
47
6
64
189
13
202
430
null
null
Plateau
8
43
1
52
154
14
168
281
null
Plateau
21
66
7
94
300
49
349
610
null
Plateau
7
100
10
117
307
11
318
596
null
Plateau
14
77
7
98
239
25
264
506
Plateau
11
58
10
79
154
18
172
410
Plateau
21
73
10
104
266
44
310
766
10.638298
31.64557
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:32
NGA
Nigeria
2,025
Rivers
3
18
4
25
77
6
83
194
null
Rivers
3
16
2
21
54
4
58
118
null
Rivers
4
16
6
26
65
6
71
142
null
null
Rivers
8
17
6
31
88
23
111
208
null
null
Rivers
11
12
4
27
135
23
158
239
null
null
Rivers
5
19
5
29
58
7
65
157
null
null
Rivers
6
10
6
22
54
6
60
165
null
null
Rivers
8
9
4
21
42
9
51
204
null
null
Rivers
7
10
9
26
43
16
59
156
null
null
Rivers
5
8
5
18
37
9
46
80
null
null
Rivers
8
10
4
22
34
11
45
116
null
null
Rivers
2
9
2
13
49
3
52
140
null
null
Rivers
3
9
4
16
28
3
31
113
null
null
Rivers
4
10
1
15
32
4
36
60
null
null
Rivers
6
5
2
13
31
14
45
86
null
null
Rivers
5
5
3
13
24
5
29
64
null
Rivers
2
4
0
6
26
3
29
35
null
Rivers
3
2
2
7
3
4
7
19
null
Rivers
4
10
5
19
16
9
25
103
Rivers
4
19
4
27
39
8
47
110
Rivers
2
7
3
12
17
2
19
62
100
-55.555556
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
nbs-nada-164-1369:33
NGA
Nigeria
2,025
Sokoto
12
20
0
32
138
47
185
228
null
Sokoto
15
22
0
37
119
33
152
205
null
Sokoto
20
3
0
23
87
37
124
196
null
null
Sokoto
10
14
3
27
78
15
93
175
null
null
Sokoto
13
22
0
35
146
25
171
224
null
null
Sokoto
8
17
2
27
103
13
116
231
null
null
Sokoto
17
12
2
31
126
68
194
248
null
null
Sokoto
24
23
1
48
146
38
184
256
null
null
Sokoto
18
19
0
37
148
26
174
259
null
null
Sokoto
9
9
0
18
69
40
109
148
null
null
Sokoto
6
11
0
17
58
8
66
90
null
null
Sokoto
5
9
1
15
36
11
47
58
null
null
Sokoto
6
19
0
25
110
13
123
175
null
null
Sokoto
14
10
0
24
122
41
163
236
null
null
Sokoto
9
15
1
25
107
19
126
211
null
null
Sokoto
7
12
0
19
52
16
68
149
null
Sokoto
5
5
0
10
57
7
64
104
null
Sokoto
11
7
0
18
76
20
96
121
null
Sokoto
9
21
0
30
145
15
160
222
Sokoto
4
18
0
22
160
14
174
244
Sokoto
6
15
0
21
55
19
74
114
110
-4.545455
2,025
2,025
2025
National Bureau of Statistics, Nigeria
Road Transport Data
Road Transport Report Q4 2025
NGA-NBS-ROADTRANS
nbs-nada-164-1369
https://microdata.nigerianstat.gov.ng/index.php/catalog/164/download/1369
other-open
2026-07-19T04:13:01Z
End of preview. Expand in Data Studio

Road Transport Data | Africa (National Bureau of Statistics, Nigeria)

145 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 145 rows from National Bureau of Statistics, Nigeria, covering Road Transport Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Document, Report [doc/rep]

How To Read This Dataset

  • One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • Primary geography column: country_iso3.
  • Best time column: year.
  • Time coverage basis: year.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 145
Countries/areas 1
First period 2025
Last period 2025
Indicators 0
Columns 237
Source format ZIP

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area Rows First year Last year Name
NGA 145 2025 2025 Nigeria

Indicators, Variables, Or Resource Contents

  • This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column Type Description Example
source_record_id string Stable row identifier assigned during Electric Sheep Africa engineering. nbs-nada-164-1369:0
country_iso3 string ISO3 country or area code. NGA
country_name string Country or area name. Nigeria
year int64 Observation year. 2025
state string Source column from the original resource. Abia
fatal string Source column from the original resource. 10
serious double Source column from the original resource. 19.0
minor double Source column from the original resource. 1.0
total_cases double Source column from the original resource. 30.0
number_injured double Source column from the original resource. 146.0
number_killed double Source column from the original resource. 31.0
total_casualty double Source column from the original resource. 177.0
people_involved string Source column from the original resource. 279
column_10 string Source column from the original resource. ``
state_2 string Source column from the original resource. Abia
fatal_2 double Source column from the original resource. 16.0
serious_2 string Source column from the original resource. 23
minor_2 double Source column from the original resource. 5.0
total_cases_2 double Source column from the original resource. 44.0
number_injured_2 double Source column from the original resource. 119.0
number_killed_2 string Source column from the original resource. 35
total_casualty_2 double Source column from the original resource. 154.0
people_involved_2 double Source column from the original resource. 289.0
column_20 double Source column from the original resource. ``
state_3 string Source column from the original resource. Abia
fatal_3 string Source column from the original resource. 10
serious_3 double Source column from the original resource. 11.0
minor_3 double Source column from the original resource. 0.0
total_cases_3 string Source column from the original resource. 21
number_injured_3 double Source column from the original resource. 69.0
number_killed_3 double Source column from the original resource. 19.0
total_casualty_3 double Source column from the original resource. 88.0
people_involved_3 string Source column from the original resource. 177
column_30 string Source column from the original resource. ``
column_31 double Source column from the original resource. ``
state_4 string Source column from the original resource. Abia
fatal_4 string Source column from the original resource. 7
serious_4 double Source column from the original resource. 10.0
minor_4 double Source column from the original resource. 3.0
total_cases_4 double Source column from the original resource. 20.0
number_injured_4 string Source column from the original resource. 62
number_killed_4 double Source column from the original resource. 11.0
total_casualty_4 double Source column from the original resource. 73.0
people_involved_4 double Source column from the original resource. 140.0
column_41 string Source column from the original resource. ``
column_42 string Source column from the original resource. ``
state_5 string Source column from the original resource. Abia
fatal_5 double Source column from the original resource. 3.0
serious_5 string Source column from the original resource. 12
minor_5 double Source column from the original resource. 6.0
total_cases_5 double Source column from the original resource. 21.0
number_injured_5 double Source column from the original resource. 57.0
number_killed_5 string Source column from the original resource. 3
total_casualty_5 double Source column from the original resource. 60.0
people_involved_5 double Source column from the original resource. 177.0
column_52 double Source column from the original resource. ``
column_53 string Source column from the original resource. ``
state_6 string Source column from the original resource. Abia
fatal_6 double Source column from the original resource. 8.0
serious_6 double Source column from the original resource. 20.0
minor_6 string Source column from the original resource. 5
total_cases_6 double Source column from the original resource. 33.0
number_injured_6 double Source column from the original resource. 144.0
number_killed_6 double Source column from the original resource. 13.0
total_casualty_6 string Source column from the original resource. 157
people_involved_6 string Source column from the original resource. 260
column_63 string Source column from the original resource. ``
column_64 double Source column from the original resource. ``
state_7 string Source column from the original resource. Abia
fatal_7 double Source column from the original resource. 10.0
serious_7 double Source column from the original resource. 13.0
minor_7 double Source column from the original resource. 6.0
total_cases_7 string Source column from the original resource. 29
number_injured_7 double Source column from the original resource. 107.0
number_killed_7 double Source column from the original resource. 23.0
total_casualty_7 double Source column from the original resource. 130.0
people_involved_7 string Source column from the original resource. 224
column_74 string Source column from the original resource. ``
column_75 double Source column from the original resource. ``
state_8 string Source column from the original resource. Abia
fatal_8 string Source column from the original resource. ``
serious_8 double Source column from the original resource. ``
minor_8 double Source column from the original resource. ``
total_cases_8 double Source column from the original resource. ``
number_injured_8 double Source column from the original resource. ``
number_killed_8 double Source column from the original resource. ``
total_casualty_8 double Source column from the original resource. ``
people_involved_8 string Source column from the original resource. ``
column_85 double Source column from the original resource. ``
column_86 double Source column from the original resource. ``
state_9 string Source column from the original resource. ``
fatal_9 double Source column from the original resource. ``
serious_9 double Source column from the original resource. ``
minor_9 double Source column from the original resource. ``
total_cases_9 double Source column from the original resource. ``
number_injured_9 double Source column from the original resource. ``
number_killed_9 double Source column from the original resource. ``
total_casualty_9 double Source column from the original resource. ``
people_involved_9 double Source column from the original resource. ``
column_96 double Source column from the original resource. ``
column_97 double Source column from the original resource. ``
state_10 string Source column from the original resource. ``
fatal_10 double Source column from the original resource. ``
serious_10 double Source column from the original resource. ``
minor_10 double Source column from the original resource. ``
total_cases_10 double Source column from the original resource. ``
number_injured_10 double Source column from the original resource. ``
number_killed_10 double Source column from the original resource. ``
total_casualty_10 string Source column from the original resource. ``
people_involved_10 double Source column from the original resource. ``
column_107 double Source column from the original resource. ``
column_108 double Source column from the original resource. ``
state_11 string Source column from the original resource. ``
fatal_11 double Source column from the original resource. ``
serious_11 double Source column from the original resource. ``
minor_11 double Source column from the original resource. ``
total_cases_11 double Source column from the original resource. ``
number_injured_11 double Source column from the original resource. ``
number_killed_11 double Source column from the original resource. ``
total_casualty_11 double Source column from the original resource. ``
people_involved_11 double Source column from the original resource. ``
column_118 double Source column from the original resource. ``
column_119 double Source column from the original resource. ``
state_12 string Source column from the original resource. ``
fatal_12 double Source column from the original resource. ``
serious_12 double Source column from the original resource. ``
minor_12 double Source column from the original resource. ``
total_cases_12 double Source column from the original resource. ``
number_injured_12 double Source column from the original resource. ``
number_killed_12 string Source column from the original resource. ``
total_casualty_12 double Source column from the original resource. ``
people_involved_12 double Source column from the original resource. ``
column_129 double Source column from the original resource. ``
column_130 double Source column from the original resource. ``
state_13 string Source column from the original resource. ``
fatal_13 double Source column from the original resource. ``
serious_13 double Source column from the original resource. ``
minor_13 double Source column from the original resource. ``
total_cases_13 double Source column from the original resource. ``
number_injured_13 double Source column from the original resource. ``
number_killed_13 double Source column from the original resource. ``
total_casualty_13 double Source column from the original resource. ``
people_involved_13 double Source column from the original resource. ``
column_140 double Source column from the original resource. ``
column_141 double Source column from the original resource. ``
state_14 string Source column from the original resource. ``
fatal_14 double Source column from the original resource. ``
serious_14 double Source column from the original resource. ``
minor_14 double Source column from the original resource. ``
total_cases_14 double Source column from the original resource. ``
number_injured_14 string Source column from the original resource. ``
number_killed_14 double Source column from the original resource. ``
total_casualty_14 double Source column from the original resource. ``
people_involved_14 double Source column from the original resource. ``
column_151 double Source column from the original resource. ``
column_152 double Source column from the original resource. ``
state_15 string Source column from the original resource. ``
fatal_15 double Source column from the original resource. ``
serious_15 double Source column from the original resource. ``
minor_15 double Source column from the original resource. ``
total_cases_15 double Source column from the original resource. ``
number_injured_15 double Source column from the original resource. ``
number_killed_15 double Source column from the original resource. ``
total_casualty_15 double Source column from the original resource. ``
people_involved_15 double Source column from the original resource. ``
column_162 double Source column from the original resource. ``
column_163 double Source column from the original resource. ``
state_16 string Source column from the original resource. ``
fatal_16 double Source column from the original resource. ``
serious_16 double Source column from the original resource. ``
minor_16 double Source column from the original resource. ``
total_cases_16 string Source column from the original resource. ``
number_injured_16 double Source column from the original resource. ``
number_killed_16 double Source column from the original resource. ``
total_casualty_16 double Source column from the original resource. ``
people_involved_16 double Source column from the original resource. ``
column_173 double Source column from the original resource. ``
state_17 string Source column from the original resource. ``
fatal_17 double Source column from the original resource. ``
serious_17 double Source column from the original resource. ``
minor_17 double Source column from the original resource. ``
total_cases_17 double Source column from the original resource. ``
number_injured_17 double Source column from the original resource. ``
number_killed_17 double Source column from the original resource. ``
total_casualty_17 double Source column from the original resource. ``
people_involved_17 double Source column from the original resource. ``
column_183 double Source column from the original resource. ``
state_18 string Source column from the original resource. ``
fatal_18 double Source column from the original resource. ``
serious_18 double Source column from the original resource. ``
minor_18 double Source column from the original resource. ``
total_cases_18 double Source column from the original resource. ``
number_injured_18 string Source column from the original resource. ``
number_killed_18 double Source column from the original resource. ``
total_casualty_18 double Source column from the original resource. ``
people_involved_18 double Source column from the original resource. ``
column_193 double Source column from the original resource. ``
state_19 string Source column from the original resource. ``
fatal_19 double Source column from the original resource. ``
serious_19 double Source column from the original resource. ``
minor_19 double Source column from the original resource. ``
total_cases_19 double Source column from the original resource. ``
number_injured_19 double Source column from the original resource. ``
number_killed_19 double Source column from the original resource. ``
total_casualty_19 double Source column from the original resource. ``
people_involved_19 double Source column from the original resource. ``
state_20 string Source column from the original resource. ``
fatal_20 double Source column from the original resource. ``
serious_20 double Source column from the original resource. ``
minor_20 double Source column from the original resource. ``
total_cases_20 double Source column from the original resource. ``
number_injured_20 double Source column from the original resource. ``
number_killed_20 double Source column from the original resource. ``
total_casualty_20 double Source column from the original resource. ``
people_involved_20 double Source column from the original resource. ``
state_21 string Source column from the original resource. ``
fatal_21 double Source column from the original resource. ``
serious_21 double Source column from the original resource. ``
minor_21 double Source column from the original resource. ``
total_cases_21 double Source column from the original resource. ``
number_injured_21 double Source column from the original resource. ``
number_killed_21 double Source column from the original resource. ``
total_casualty_21 double Source column from the original resource. ``
people_involved_21 double Source column from the original resource. ``
yony double Source column from the original resource. ``
qonq double Source column from the original resource. ``
source_period_start_year int64 Start year inferred from source metadata. ``
source_period_end_year int64 End year inferred from source metadata. ``
source_period_label string Source column from the original resource. ``
source_provider string Publishing organization. ``
source_dataset string Source dataset or package title. ``
source_resource string Source resource title, table name, or file name. ``
source_package_id string Source package identifier. ``
source_resource_id string Source resource identifier. ``
source_url string Original source URL or download URL. ``
license_id string Source license identifier. ``
retrieved_at string UTC source retrieval timestamp from the Electric Sheep Africa pipeline. ``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-road-transport-data-425d1e4b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "NGA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • Canonical time field: year.
  • Missing values are preserved rather than silently imputed.
  • Column names are standardized for machine use; source meanings are preserved where known.
  • Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • Converted the source table to Parquet for efficient analytics and ML workflows.
  • Added or preserved source provenance columns where available.
  • Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • Preserved source-reported values without analytical imputation.

Suggested Analyses

  • Track mobility over time
  • Compare routes or geographies
  • Join with economic and population data
  • Build time-series views and period-over-period comparisons
  • Check missingness before modeling
  • Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_nigeria_road_transport_data_425d1e4b_2025,
  title        = {Road Transport Data | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/164/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-road-transport-data-425d1e4b}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics, Nigeria. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/164/related-materials

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