Shirley R Sapia

Female, Age 83 Old Lyme , Connecticut

Shirley R Sapia is a 83 years old female, born on Wednesday, 9th of October 1940. She will turn 84 on October 09, 2024. Our records show she currently resides at 10 Old Colony Road, Old Lyme , Ct 06371-2242 and is affiliated with the No known party affiliation. Shirley is registered to vote in Connecticut since August 22, 1962.

Overview of Shirley R Sapia

Age: 83

Gender: female

Birth year: 1941

Lives in: Old Lyme

Phone number: 860-434-8038

Shirley R Sapia's Voting Profile

Registered to vote since: August 22, 1962

Party Affiliation: No known party affiliation

Status: A

Precinct: 00

District: 001

Polling place: Lol Middle School Gymnasium

Voter ID: 001293006

Congressional District: 002

House District: 023

Senate District: 020

Shirley R Sapia Adress & Maps

Show Map

Thomas Gerard Adams

Neighbors for Shirley R Sapia

12 Old Colony Road, Old Lyme , Ct 06371-0637
No known party affiliation
12 Old Colony Road, Old Lyme , Ct 06371-2242
No known party affiliation
12 Old Colony Road, Old Lyme , Ct 06371-2242
No known party affiliation
13 Old Colony Road, Old Lyme , Ct 06371-2209
No known party affiliation
19 Old Colony Road, Old Lyme , Ct 06371-2239
No known party affiliation
31 Old Colony Road, Old Lyme , Ct 06371-2239
No known party affiliation
32 Old Colony Road, Old Lyme , Ct 06371-0000
No known party affiliation
40 Old Colony Road, Old Lyme , Ct 06371-2235
No known party affiliation
57 Old Colony Road, Old Lyme , Ct 06371-2241
No known party affiliation
64 Old Colony Road, Old Lyme , Ct 06371-2236
No known party affiliation
75 Old Colony Road, Old Lyme , Ct 06371-2244
No known party affiliation
75 Old Colony Road, Old Lyme , Ct 06371-2244
No known party affiliation
78 Old Colony Road, Old Lyme , Ct 06371-2237
No known party affiliation
82 Old Colony Road, Old Lyme , Ct 06371-2238
No known party affiliation
82 Old Colony Road, Old Lyme , Ct 06371-2238
No known party affiliation

Income

Salary: $95,768

Net Worth: $446,767

*This information is estimated by an algorithm and does not come from any public data. These numbers are only guesses and should not be considered to be accurate.