hi. here's another non-statistician's partial answer.

the rows list mutually exclusive "attributes" of the subjects, i.e., one is either "At Work", or "Unemployed, experienced worker", "NILF, unable to work", or "NILF, other". each person is one of these, and *only* one of these. so, if you add up all these rows (for a particular year), you have all the subjects.

the bottom row ("COL TOTAL") is a check, showing that the sum of the previous rows in that column add up to 100%. the right most column ("ROW TOTAL") shows the sum of the previous columns in that row, and expresses that both as a number and as a percentage of the sum of the other rows in the right most column (which number is shown in the bottom right cell -- right most column, bottom row -- of the table).

columns: for your frequency table, the first colum (1996) says that, of the population in question (who *are* those people?), none were working, 45.8% were unable to work, while 54.2% were for other reasons "Not In the Labor Force". those three numbers "exhaust" the population in question in 1996, so they add up to 100%, which is listed in the bottom row ("COL TOTAL").

rows: if we look at a row, 10, say, "At work", we see that only in year 2006 was that number greater than zero. in 2006, the number of people at work equaled 60.4%, again of the specific population you have selected; this number corresponds to 7,023.9 people in the population working. in the last column of row 10 (the column labeled "ROW TOTAL"), we see the same 7,023.9 people, and that, *in row 10*, these 7,023.9 people correspond to 14.6% of the 48,136.2 people at the bottom row ("COL TOTAL").

*that* number, 48,136.2, is the sum of the numbers of the bottom row of the previous five columns. (in 1996, there were 11,668.8 people; in 2000, there were 4,087.5 people; in 2006, there were 11,626.1; in 2010, there were 7,845.6; and in 2016, there were 12,908.1.)

hope that helps.