Putexcel with row and column name labels

I am trying to export tables from stata to word using putexcel, where the row and column variables have value labels. However, after using the matlist command, the frequencies are not reported correctly

Code:

. tab sect edulevel, matcell(cellcounts)

                      |             edulevel
                 sect | Below Pri    Primary     middle |     Total
----------------------+---------------------------------+----------
          Agriculture |     4,213      1,383      1,545 |     8,555 
 Forestry and Fishing |        84         77        104 |       403 
               Mining |       118         64        131 |       551 
           Food manuf |       207        144        292 |     1,125 
Textile and leather m |       350        386        618 |     2,359 
           Wood Manuf |       107         71        178 |       523 
Media Printing and Re |         6         19         58 |       199 
      Chemicals Manuf |        91         82        203 |     1,078 
      Non-metal Manuf |       193         77        168 |       693 
    Basic Metal Manuf |        65         64        119 |       661 
      Machinery manuf |        87         91        171 |       640 
    Electronics Manuf |         5          7         19 |       148 
         Equipt Manuf |        68        102        235 |     1,197 
      Furniture Manuf |        59         75        150 |       432 
         Manuf Others |        47         77        149 |       458 
Repair & install mach |        25         38        103 |       354 
    Elec & Gas Supply |        38         29        115 |       594 
  Sanitation Services |        61         44         88 |       338 
         Construction |     2,877      1,612      2,544 |     9,253 
    Civil Engineering |       219        148        199 |       940 
 Special Construction |       246        268        570 |     1,676 
            Wholesale |       180        177        420 |     1,877 
               Retail |       253        329      1,014 |     3,689 
Land & Pipeline Trans |       456        470      1,109 |     3,495 
Transportation & post |        62         46        144 |       742 
              Tourism |       240        208        378 |     1,418 
  Media, Telecom & IT |        15         10         73 |     1,290 
Finance Legal & Mktg  |        33         59        277 |     3,081 
          Real Estate |         7          3         12 |        69 
Architect. & Engineer |         0          2          1 |        95 
                  R&D |         3          2          4 |        49 
           Veterinary |         0          2          5 |        53 
           Employment |         6          3         15 |        63 
Security and Building |        92         72        201 |       677 
         Public Admin |       181        167        617 |     4,111 
            Education |       188        180        421 |     6,591 
           Health svs |        69         55        251 |     1,843 
Resid & social Worker |        48         37         75 |       444 
     Art & entertain. |        32         26         58 |       226 
        Organizations |        33         32         82 |       335 
Repair and personal s |       221        114        159 |       802 
   Domestic Personnel |       816        335        460 |     1,966 
----------------------+---------------------------------+----------
                Total |    12,101      7,187     13,535 |    65,093 


                      |             edulevel
                 sect | secondary  Higher Se     Higher |     Total
----------------------+---------------------------------+----------
          Agriculture |       875        391        148 |     8,555 
 Forestry and Fishing |        62         47         29 |       403 
               Mining |        81         64         93 |       551 
           Food manuf |       195        140        147 |     1,125 
Textile and leather m |       499        281        225 |     2,359 
           Wood Manuf |        74         46         47 |       523 
Media Printing and Re |        48         17         51 |       199 
      Chemicals Manuf |       182        179        341 |     1,078 
      Non-metal Manuf |        99         68         88 |       693 
    Basic Metal Manuf |       135        110        168 |       661 
      Machinery manuf |       121         78         92 |       640 
    Electronics Manuf |        16         19         82 |       148 
         Equipt Manuf |       191        184        417 |     1,197 
      Furniture Manuf |        94         41         13 |       432 
         Manuf Others |        89         56         40 |       458 
Repair & install mach |        80         45         63 |       354 
    Elec & Gas Supply |       106        104        202 |       594 
  Sanitation Services |        61         39         45 |       338 
         Construction |     1,395        571        254 |     9,253 
    Civil Engineering |       137         66        171 |       940 
 Special Construction |       315        159        118 |     1,676 
            Wholesale |       317        284        499 |     1,877 
               Retail |       772        658        663 |     3,689 
Land & Pipeline Trans |       737        387        336 |     3,495 
Transportation & post |       135        156        199 |       742 
              Tourism |       225        167        200 |     1,418 
  Media, Telecom & IT |        89        120        983 |     1,290 
Finance Legal & Mktg  |       303        425      1,984 |     3,081 
          Real Estate |         8         11         28 |        69 
Architect. & Engineer |         2          2         88 |        95 
                  R&D |         4          2         34 |        49 
           Veterinary |        10          7         29 |        53 
           Employment |         5          8         26 |        63 
Security and Building |       138         98         76 |       677 
         Public Admin |       716        890      1,540 |     4,111 
            Education |       537        844      4,421 |     6,591 
           Health svs |       241        328        899 |     1,843 
Resid & social Worker |        97         78        109 |       444 
     Art & entertain. |        29         27         54 |       226 
        Organizations |        60         46         82 |       335 
Repair and personal s |       133         97         78 |       802 
   Domestic Personnel |       184         86         85 |     1,966 
----------------------+---------------------------------+----------
                Total |     9,597      7,426     15,247 |    65,093

I have used the following commands to proceed towards using putexcel to transfer the results to stata

Code:

decode sect, g(sect_s)
levelsof sect_s, local(namesec)
"Agriculture"' `"Architect. & Engineer"' `"Art & entertain."' `"Basic Metal Manuf"' `"Chemicals Manuf"' `"Civil Engineering"' `"Construction"' `"Domestic Personnel"' `"Education"' `"Elec & Gas Supply"' `"Electronics Manuf"' `"Employment"' `"Equipt Manuf"' `"Finance Legal & Mktg Corp Svs"' `"Food manuf"' `"Forestry and Fishing"' `"Furniture Manuf"' `"Health svs"' `"Land & Pipeline Transport"' `"Machinery manuf"' `"Manuf Others"' `"Media Printing and Records"' `"Media, Telecom & IT"' `"Mining"' `"Non-metal Manuf"' `"Organizations "' `"Public Admin"' `"R&D"' `"Real Estate"' `"Repair & install machinery"'  "Repair and personal svs"' `"Resid & social Workers"' `"Retail"' `"Sanitation Services"' `"Security and Building svs"' `"Special Construction"' `"Textile and leather manuf"' `"Tourism"' `"Transportation & postal"' `"Veterinary"' `"Wholesale"' `"Wood Manuf"'

matrix rownames cellcounts = `namesec'

.decode edulevel, g(edu_s)

. levelsof edu_s, local(edu)
`"Below Primary"' `"Higher"' `"Higher Secondary"' `"Primary"' `"middle"' `"sec
> ondary"'

. matrix colnames cellcounts = `edu'

. matlist cellcounts

             | Below P~y     Higher  Higher ~y    Primary     middle 
-------------+-------------------------------------------------------
 Agriculture |      4213       1383       1545        875        391 
Architect.~r |        84         77        104         62         47 
Art & ente~. |       118         64        131         81         64 
Basic Meta~f |       207        144        292        195        140 
Chemicals ~f |       350        386        618        499        281 
Civil Engi~g |       107         71        178         74         46 
Construction |         6         19         58         48         17 
Domestic P~l |        91         82        203        182        179 
   Education |       193         77        168         99         68 
Elec & Gas~y |        65         64        119        135        110 
Electronic~f |        87         91        171        121         78 
  Employment |         5          7         19         16         19 
Equipt Manuf |        68        102        235        191        184 
Finance Le~s |        59         75        150         94         41 
  Food manuf |        47         77        149         89         56 
Forestry a~g |        25         38        103         80         45 
Furniture ~f |        38         29        115        106        104 
  Health svs |        61         44         88         61         39 
Land & Pip~t |      2877       1612       2544       1395        571 
Machinery ~f |       219        148        199        137         66 
Manuf Others |       246        268        570        315        159 
Media Prin~s |       180        177        420        317        284 
Media, Tel~T |       253        329       1014        772        658 
      Mining |       456        470       1109        737        387 
Non-metal ~f |        62         46        144        135        156 
Organizati~s |       240        208        378        225        167 
Public Admin |        15         10         73         89        120 
         R&D |        33         59        277        303        425 
 Real Estate |         7          3         12          8         11 
Repair & i~y |         0          2          1          2          2 
Repair and~s |         3          2          4          4          2 
Resid & so~s |         0          2          5         10          7 
      Retail |         6          3         15          5          8 
Sanitation~s |        92         72        201        138         98 
Security a~s |       181        167        617        716        890 
Special Co~n |       188        180        421        537        844 
Textile an~f |        69         55        251        241        328 
     Tourism |        48         37         75         97         78 
Transporta~l |        32         26         58         29         27 
  Veterinary |        33         32         82         60         46 
   Wholesale |       221        114        159        133         97 
  Wood Manuf |       816        335        460        184         86 

             | secondary 
-------------+-----------
 Agriculture |       148 
Architect.~r |        29 
Art & ente~. |        93 
Basic Meta~f |       147 
Chemicals ~f |       225 
Civil Engi~g |        47 
Construction |        51 
Domestic P~l |       341 
   Education |        88 
Elec & Gas~y |       168 
Electronic~f |        92 
  Employment |        82 
Equipt Manuf |       417 
Finance Le~s |        13 
  Food manuf |        40 
Forestry a~g |        63 
Furniture ~f |       202 
  Health svs |        45 
Land & Pip~t |       254 
Machinery ~f |       171 
Manuf Others |       118 
Media Prin~s |       499 
Media, Tel~T |       663 
      Mining |       336 
Non-metal ~f |       199 
Organizati~s |       200 
Public Admin |       983 
         R&D |      1984 
 Real Estate |        28 
Repair & i~y |        88 
Repair and~s |        34 
Resid & so~s |        29 
      Retail |        26 
Sanitation~s |        76 
Security a~s |      1540 
Special Co~n |      4421 
Textile an~f |       899 
     Tourism |       109 
Transporta~l |        54 
  Veterinary |        82 
   Wholesale |        78 
  Wood Manuf |        85 

.

As I have shown from the output above, the tabulate option frequencies are not rendered after I use the matlist code. The string variables for sect and edulevel are ordered alphabetically rather than what the initial table says. Thus, the frequencies are jumbled up. For instance in the first row, for agriculture, the tabulate option shows that frequency for primary educated is 1383, while after the matlist command, it shows that frequency for Higher educated is 1383 instead.

I require some help regarding correct alignment of the data in the tables. Any help would be really appreciated.