Hello,
We collected survey data on over 12,000 respondents across several hundred districts. The districts, however, are in their district id format- a 3 digit number ranging from 000 to 729. Excerpt below:

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input long UID int district
331785 557
331798 556
331799 566
331745 556
331811 564
331818 560
331803 549
331825 553
331824 556
331829 556
331832 566
331836 577
331837 567
331822 556
331839 573
331813 577
278950 546
278952 575
278965 575
278966 575
278971 575
278974 563
278982 575
278987 576
278990 547
278991 577
278979 562
279010 577
279012 576
305539 577
305507 562
end
I have, in a CSV, the corresponding district names for each of these district IDs. How can I encode these? Is there a way other than la define and typing all the information into a do file?

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input int district_id str26 district_name
  1 "Nicobar"                
  2 "North Middle Andaman"   
  3 "South Andaman"          
  4 "Anantapur"              
  5 "Chittoor"               
  6 "East Godavari"          
  7 "Guntur"                 
  8 "Kadapa"                 
  9 "Krishna"                
 10 "Kurnool"                
 11 "Nellore"                
 12 "Prakasam"               
 13 "Srikakulam"             
 14 "Visakhapatnam"          
 15 "Vizianagaram"           
 16 "West Godavari"          
 17 "Anjaw"                  
 18 "Central Siang"          
 19 "Changlang"              
 20 "Dibang Valley"          
 21 "East Kameng"            
 22 "East Siang"             
 23 "Kamle"                  
 24 "Kra Daadi"              
 25 "Kurung Kumey"           
 26 "Lepa Rada"              
 27 "Lohit"                  
 28 "Longding"               
 29 "Lower Dibang Valley"    
 30 "Lower Siang"            
 31 "Lower Subansiri"        
 32 "Namsai"                 
 33 "Pakke Kessang"          
 34 "Papum Pare"             
 35 "Shi Yomi"               
 36 "Tawang"                 
 37 "Tirap"                  
 38 "Upper Siang"            
 39 "Upper Subansiri"        
 40 "West Kameng"            
 41 "West Siang"             
 42 "Baksa"                  
 43 "Barpeta"                
 44 "Biswanath"              
 45 "Bongaigaon"             
 46 "Cachar"                 
 47 "Charaideo"              
 48 "Chirang"                
 49 "Darrang"                
 50 "Dhemaji"                
 51 "Dhubri"                 
 52 "Dibrugarh"              
 53 "Dima Hasao"             
 54 "Goalpara"               
 55 "Golaghat"               
 56 "Hailakandi"             
 57 "Hojai"                  
 58 "Jorhat"                 
 59 "Kamrup"                 
 60 "Kamrup Metropolitan"    
 61 "Karbi Anglong"          
 62 "Karimganj"              
 63 "Kokrajhar"              
 64 "Lakhimpur"              
 65 "Majuli"                 
 66 "Morigaon"               
 67 "Nagaon"                 
 68 "Nalbari"                
 69 "Sivasagar"              
 70 "Sonitpur"               
 71 "South Salmara-Mankachar"
 72 "Tinsukia"               
 73 "Udalguri"               
 74 "West Karbi Anglong"     
 75 "Araria"                 
 76 "Arwal"                  
 77 "Aurangabad"             
 78 "Banka"                  
 79 "Begusarai"              
 80 "Bhagalpur"              
 81 "Bhojpur"                
 82 "Buxar"                  
 83 "Darbhanga"              
 84 "East Champaran"         
 85 "Gaya"                   
 86 "Gopalganj"              
 87 "Jamui"                  
 88 "Jehanabad"              
 89 "Kaimur"                 
 90 "Katihar"                
 91 "Khagaria"               
 92 "Kishanganj"             
 93 "Lakhisarai"             
 94 "Madhepura"              
 95 "Madhubani"              
 96 "Munger"                 
 97 "Muzaffarpur"            
 98 "Nalanda"                
 99 "Nawada"                 
100 "Patna"                  
end
Thanks, would really appreciate help on this.