A python list of all US state abbreviations.

us_state_abbreviations.py

states = [ 'AK', 'AL', 'AR', 'AZ', 'CA', 'CO', 'CT', 'DC', 'DE', 'FL', 'GA',
           'HI', 'IA', 'ID', 'IL', 'IN', 'KS', 'KY', 'LA', 'MA', 'MD', 'ME',
           'MI', 'MN', 'MO', 'MS', 'MT', 'NC', 'ND', 'NE', 'NH', 'NJ', 'NM',
           'NV', 'NY', 'OH', 'OK', 'OR', 'PA', 'RI', 'SC', 'SD', 'TN', 'TX',
           'UT', 'VA', 'VT', 'WA', 'WI', 'WV', 'WY']

states = {
    'AK': 'Alaska',
    'AL': 'Alabama',
    'AR': 'Arkansas',
    'AZ': 'Arizona',
    'CA': 'California',
    'CO': 'Colorado',
    'CT': 'Connecticut',
    'DC': 'District of Columbia',
    'DE': 'Delaware',
    'FL': 'Florida',
    'GA': 'Georgia',
    'HI': 'Hawaii',
    'IA': 'Iowa',
    'ID': 'Idaho',
    'IL': 'Illinois',
    'IN': 'Indiana',
    'KS': 'Kansas',
    'KY': 'Kentucky',
    'LA': 'Louisiana',
    'MA': 'Massachusetts',
    'MD': 'Maryland',
    'ME': 'Maine',
    'MI': 'Michigan',
    'MN': 'Minnesota',
    'MO': 'Missouri',
    'MS': 'Mississippi',
    'MT': 'Montana',
    'NC': 'North Carolina',
    'ND': 'North Dakota',
    'NE': 'Nebraska',
    'NH': 'New Hampshire',
    'NJ': 'New Jersey',
    'NM': 'New Mexico',
    'NV': 'Nevada',
    'NY': 'New York',
    'OH': 'Ohio',
    'OK': 'Oklahoma',
    'OR': 'Oregon',
    'PA': 'Pennsylvania',
    'RI': 'Rhode Island',
    'SC': 'South Carolina',
    'SD': 'South Dakota',
    'TN': 'Tennessee',
    'TX': 'Texas',
    'UT': 'Utah',
    'VA': 'Virginia',
    'VT': 'Vermont',
    'WA': 'Washington',
    'WI': 'Wisconsin',
    'WV': 'West Virginia',
    'WY': 'Wyoming'
}

If you want a reversed dictionary, run state2abbrev = {v:k for k,v in states.items()}, or just copy the output below

state2abbrev = {
    'Alaska': 'AK',
    'Alabama': 'AL',
    'Arkansas': 'AR',
    'Arizona': 'AZ',
    'California': 'CA',
    'Colorado': 'CO',
    'Connecticut': 'CT',
    'District of Columbia': 'DC',
    'Delaware': 'DE',
    'Florida': 'FL',
    'Georgia': 'GA',
    'Hawaii': 'HI',
    'Iowa': 'IA',
    'Idaho': 'ID',
    'Illinois': 'IL',
    'Indiana': 'IN',
    'Kansas': 'KS',
    'Kentucky': 'KY',
    'Louisiana': 'LA',
    'Massachusetts': 'MA',
    'Maryland': 'MD',
    'Maine': 'ME',
    'Michigan': 'MI',
    'Minnesota': 'MN',
    'Missouri': 'MO',
    'Mississippi': 'MS',
    'Montana': 'MT',
    'North Carolina': 'NC',
    'North Dakota': 'ND',
    'Nebraska': 'NE',
    'New Hampshire': 'NH',
    'New Jersey': 'NJ',
    'New Mexico': 'NM',
    'Nevada': 'NV',
    'New York': 'NY',
    'Ohio': 'OH',
    'Oklahoma': 'OK',
    'Oregon': 'OR',
    'Pennsylvania': 'PA',
    'Rhode Island': 'RI',
    'South Carolina': 'SC',
    'South Dakota': 'SD',
    'Tennessee': 'TN',
    'Texas': 'TX',
    'Utah': 'UT', 
    'Virginia': 'VA',
    'Vermont': 'VT', 
    'Washington': 'WA',
    'Wisconsin': 'WI',
    'West Virginia': 'WV',
    'Wyoming': 'WY'
}

Thanks!

Thank you!!

Saving us slow keyboarders and new-older coders more than two minutes each.

thanks

Small convenience great morale boost

states = (
('AK', 'Alaska'),
('AL', 'Alabama'),
('AR', 'Arkansas'),
('AZ', 'Arizona'),
('CA', 'California'),
('CO', 'Colorado'),
('CT', 'Connecticut'),
('DC', 'District of Columbia'),
('DE', 'Delaware'),
('FL', 'Florida'),
('GA', 'Georgia'),
('HI', 'Hawaii'),
('IA', 'Iowa'),
('ID', 'Idaho'),
('IL', 'Illinois'),
('IN', 'Indiana'),
('KS', 'Kansas'),
('KY', 'Kentucky'),
('LA', 'Louisiana'),
('MA', 'Massachusetts'),
('MD', 'Maryland'),
('ME', 'Maine'),
('MI', 'Michigan'),
('MN', 'Minnesota'),
('MO', 'Missouri'),
('MS', 'Mississippi'),
('MT', 'Montana'),
('NC', 'North Carolina'),
('ND', 'North Dakota'),
('NE', 'Nebraska'),
('NH', 'New Hampshire'),
('NJ', 'New Jersey'),
('NM', 'New Mexico'),
('NV', 'Nevada'),
('NY', 'New York'),
('OH', 'Ohio'),
('OK', 'Oklahoma'),
('OR', 'Oregon'),
('PA', 'Pennsylvania'),
('RI', 'Rhode Island'),
('SC', 'South Carolina'),
('SD', 'South Dakota'),
('TN', 'Tennessee'),
('TX', 'Texas'),
('UT', 'Utah'),
('VA', 'Virginia'),
('VT', 'Vermont'),
('WA', 'Washington'),
('WI', 'Wisconsin'),
('WV', 'West Virginia'),
('WY', 'Wyoming')
)

So useful!

Thank you! Big time saver!

Thank you very much! What a thoughtful thing for you to provide. Much appreciated.

Thank you!

Thanks.

beautiful thank you!!!