Lisa Elaine Seman (Age 57)

Mary Esther, Florida

Lisa Elaine Seman is 57 years old, was born on Sunday, 11th of June 1967 and will celebrate the 58 birthday on June 11. This person is currently listed at 217 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569 and has no known party affiliation. Lisa is an unknown gender (Unknown) and is registered to vote in Okaloosa County since September 22, 2020.

Overview of Lisa Elaine Seman

Age: 57

Gender: unknown

Birth year: 1968

Lives in: Mary Esther, Florida

Lisa Elaine Seman's Voting Profile

Registered to vote inOkaloosa County

Registered to vote sinceSeptember 22, 2020

Party AffiliationNo party affiliation

StatusAct

Precinct34

Precinct Group0

Precinct Split34.1

Voter ID128787840

Congressional District1

House District4

Senate District1

County Commission4

School Board3

Lisa Elaine Seman Address & Maps

Neighbors for Lisa Elaine Seman

206 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Republican Party of Florida
206 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Republican Party of Florida
206 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
No party affiliation
208 Squirrel Haven Rd Apt B, Mary Esther, Okaloosa, Florida 32569
Republican Party of Florida
208 Squirrel Haven Rd Apt A, Mary Esther, Okaloosa, Florida 32569
Florida Democratic Party
209 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Florida Democratic Party
209 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
No party affiliation
221 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
No party affiliation
221 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Florida Democratic Party
221 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Republican Party of Florida
221 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Florida Democratic Party
225 Squirrel Haven Rd, Mary Esther, Okaloosa, Florida 32569
Republican Party of Florida

Other data

Salary: $66,837

Net Worth: $797,441

*The figures presented are approximations generated by an algorithm and are not derived from publicly available data. It is important to note that these estimations should not be regarded as precise and should be treated as speculative.

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