Table:
2000
2007
2011
2017
change 2000 to 2017

percent
percentage points

men

new england
87.6
84.4
77.8
83.5
-4.1

middle atlantic
84.7
83.4
77.3
79.7
-5.0

east north central
87.4
83.7
76.6
81.1
-6.3

west north central
88.9
86.3
81.1
85.0
-3.9

south atlantic
87.4
85.4
76.2
81.6
-5.9

south central
85.8
84.6
78.9
81.1
-4.7

mountain
88.9
87.6
77.7
84.7
-4.2

pacific
85.9
85.2
76.6
81.8
-4.1

all regions
86.7
84.9
77.5
81.8
-5.0

women

new england
76.4
72.5
69.3
70.2
-6.2

middle atlantic
68.9
68.0
63.5
65.5
-3.4

east north central
73.8
70.4
65.0
67.7
-6.2

west north central
79.5
77.1
73.6
74.4
-5.1

south atlantic
73.2
70.5
65.1
66.0
-7.3

south central
68.6
65.1
60.7
63.4
-5.2

mountain
70.8
69.5
63.7
65.5
-5.3

pacific
67.6
65.0
60.5
63.9
-3.7

all regions
71.4
68.7
63.9
66.0
-5.4

Can you extract the data from these specific rows in the table provided?
the 14th row,
the 5th row,

Output the cell values in a row as JSON in the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cell values of target rows are as follows:
For the 14th row: {"row_id": "14", "cell_list": ['new england', '76.4', '72.5', '69.3', '70.2', '-6.2']}
For the 5th row: {"row_id": "5", "cell_list": ['middle atlantic', '84.7', '83.4', '77.3', '79.7', '-5.0']}