Solve the following sql problem:
Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL.

Schema:
SCHEMA:
- Table: CBSA
  - Column: CBSA
    - Samples: [10300, 10380, 10420, 10500, 10580]
  - Column: CBSA_name
    - Samples: [Adrian, MI, Aguadilla-Isabela, PR, Akron, OH, Albany, GA, Albany-Schenectady-Troy, NY]
  - Column: CBSA_type
    - Samples: [Micro, Metro, Metro, Metro, Metro]
- Table: state
  - Column: abbreviation
    - Samples: [AA, AE, AK, AL, AP]
  - Column: name
    - Samples: [Armed Forces Americas, Armed Forces Europe, Alaska, Alabama, Armed Forces Pacific]
- Table: congress
  - Column: cognress_rep_id
    - Samples: [AK, AK-S1, AK-S2, AL-1, AL-2]
  - Column: first_name
    - Samples: [Young, Begich, Murkowski, Byrne, Roby]
  - Column: last_name
    - Samples: [Don, Mark, Lisa, Bradley, Martha]
  - Column: CID
    - Samples: [N00008091, N00009585, N00033101, N00031938, N00031177]
  - Column: party
    - Samples: [Republican, Democrat, Republican, Republican, Republican]
  - Column: state
    - Samples: [Alaska, Alaska, Alaska, Alabama, Alabama]
  - Column: abbreviation
    - Samples: [AK, AK, AK, AL, AL]
  - Column: House
    - Samples: [House of Repsentatives, Senate, Senate, House of Repsentatives, House of Repsentatives]
  - Column: District
    - Samples: [None, None, None, 1, 2]
  - Column: land_area
    - Samples: [571951.26, 570641.0, 570641.0, 6066.83, 10141.63]
- Table: zip_data
  - Column: zip_code
    - Samples: [501, 544, 601, 602, 603]
  - Column: city
    - Samples: [Holtsville, Holtsville, Adjuntas, Aguada, Aguadilla]
  - Column: state
    - Samples: [NY, NY, PR, PR, PR]
  - Column: multi_county
    - Samples: [No, No, No, No, No]
  - Column: type
    - Samples: [Unique Post Office, Unique Post Office, Post Office, Post Office, Post Office]
  - Column: organization
    - Samples: [I R S Service Center, Irs Service Center, None, None, None]
  - Column: time_zone
    - Samples: [Eastern, Eastern, Atlantic, Atlantic, Atlantic]
  - Column: daylight_savings
    - Samples: [Yes, Yes, No, No, No]
  - Column: latitude
    - Samples: [40.817923, 40.788827, 18.196747, 18.352927, 18.458585]
  - Column: longitude
    - Samples: [-73.045317, -73.039405, -66.736735, -67.177532, -67.129867]
  - Column: elevation
    - Samples: [25, 25, 0, 0, 0]
  - Column: state_fips
    - Samples: [36, 36, 72, 72, 72]
  - Column: county_fips
    - Samples: [103, 103, 1, 3, 5]
  - Column: region
    - Samples: [Northeast, Northeast, None, None, None]
  - Column: division
    - Samples: [Middle Atlantic, Middle Atlantic, None, None, None]
  - Column: population_2020
    - Samples: [0, 0, 11737, 24263, 40361]
  - Column: population_2010
    - Samples: [0, 0, 18570, 41520, 54689]
  - Column: households
    - Samples: [0, 0, 6525, 15002, 21161]
  - Column: avg_house_value
    - Samples: [0, 0, 86200, 86300, 122400]
  - Column: avg_income_per_household
    - Samples: [0, 0, 13092, 16358, 16603]
  - Column: persons_per_household
    - Samples: [0.0, 0.0, 2.84, 2.76, 2.53]
  - Column: white_population
    - Samples: [0, 0, 17479, 36828, 46501]
  - Column: black_population
    - Samples: [0, 0, 663, 2860, 5042]
  - Column: hispanic_population
    - Samples: [0, 0, 18486, 41265, 53877]
  - Column: asian_population
    - Samples: [0, 0, 7, 42, 135]
  - Column: american_indian_population
    - Samples: [0, 0, 113, 291, 313]
  - Column: hawaiian_population
    - Samples: [0, 0, 10, 32, 35]
  - Column: other_population
    - Samples: [0, 0, 558, 2634, 4177]
  - Column: male_population
    - Samples: [0, 0, 9078, 20396, 26597]
  - Column: female_population
    - Samples: [0, 0, 9492, 21124, 28092]
  - Column: median_age
    - Samples: [0.0, 0.0, 35.9, 37.5, 38.2]
  - Column: male_median_age
    - Samples: [0.0, 0.0, 34.5, 36.6, 36.6]
  - Column: female_median_age
    - Samples: [0.0, 0.0, 37.1, 38.5, 39.8]
  - Column: residential_mailboxes
    - Samples: [0, 0, 4133, 8791, 15953]
  - Column: business_mailboxes
    - Samples: [1, 0, 221, 519, 764]
  - Column: total_delivery_receptacles
    - Samples: [1, 0, 5173, 11302, 19186]
  - Column: businesses
    - Samples: [2, 0, 0, 0, 0]
  - Column: 1st_quarter_payroll
    - Samples: [0, 0, 0, 0, 0]
  - Column: annual_payroll
    - Samples: [0, 0, 0, 0, 0]
  - Column: employees
    - Samples: [0, 0, 0, 0, 0]
  - Column: water_area
    - Samples: [0.0, 0.0, 0.309, 1.71, 0.07]
  - Column: land_area
    - Samples: [0.0, 0.0, 64.348, 30.621, 31.617]
  - Column: single_family_delivery_units
    - Samples: [0, 0, 2419, 5473, 9621]
  - Column: multi_family_delivery_units
    - Samples: [0, 0, 1264, 827, 2947]
  - Column: total_beneficiaries
    - Samples: [0, 0, 0, 0, 0]
  - Column: retired_workers
    - Samples: [0, 0, 0, 0, 0]
  - Column: disabled_workers
    - Samples: [0, 0, 0, 0, 0]
  - Column: parents_and_widowed
    - Samples: [0, 0, 0, 0, 0]
  - Column: spouses
    - Samples: [0, 0, 0, 0, 0]
  - Column: children
    - Samples: [0, 0, 0, 0, 0]
  - Column: over_65
    - Samples: [0, 0, 0, 0, 0]
  - Column: monthly_benefits_all
    - Samples: [0, 0, 0, 0, 0]
  - Column: monthly_benefits_retired_workers
    - Samples: [0, 0, 0, 0, 0]
  - Column: monthly_benefits_widowed
    - Samples: [0, 0, 0, 0, 0]
  - Column: CBSA
    - Samples: [35620, 35620, 38660, 10380, 10380]
- Table: alias
  - Column: zip_code
    - Samples: [501, 544, 601, 602, 603]
  - Column: alias
    - Samples: [Holtsville, Holtsville, Adjuntas, Aguada, Aguadilla]
- Table: area_code
  - Column: zip_code
    - Samples: [501, 544, 601, 601, 602]
  - Column: area_code
    - Samples: [631, 631, 787, 939, 787]
- Table: avoid
  - Column: zip_code
    - Samples: [501, 544, 601, 601, 601]
  - Column: bad_alias
    - Samples: [Internal Revenue Service, Internal Revenue Service, Colinas Del Gigante, Jard De Adjuntas, URB San Joaquin]
- Table: country
  - Column: zip_code
    - Samples: [501, 544, 601, 602, 603]
  - Column: county
    - Samples: [SUFFOLK, SUFFOLK, ADJUNTAS, AGUADA, AGUADILLA]
  - Column: state
    - Samples: [NY, NY, PR, PR, PR]
- Table: zip_congress
  - Column: zip_code
    - Samples: [501, 601, 602, 603, 604]
  - Column: district
    - Samples: [NY-1, PR, PR, PR, PR]

SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL'