Social Security beneficiary data

Courtesy AFL-CIO

How many New Yorkers in your Congressional district benefit from Social Security?

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CD Representative Total Beneficiaries Total Beneficiary Ratio Total
Beneficiary Ratio Rank 		Disabled workers Disabled Worker Beneficiary Ratio Disabled Worker Beneficiary Ratio Rank Minor Children (estimated) Minor Children Beneficiary Ratio
(estimated) 		Minor Children Beneficiary Ratio Rank (based on estimates)
1 Bishop, Timothy 116,183 17.6% 12 15,514 3.8% 8 7,919 4.7% 9
2 Israel, Steve 107,634 16.3% 14 13,312 3.3% 12 7,712 4.4% 13
3 King, Peter 120,930 18.3% 9 12,307 3.0% 15 6,462 4.0% 15
4 McCarthy, Carolyn 114,677 17.3% 13 11,852 3.0% 17 6,184 3.7% 20
5 Ackerman, Gary 96,938 14.6% 20 7,002 1.7% 29 3,389 2.3% 29
6 Meeks, Gregory 73,144 11.1% 25 9,351 2.3% 24 5,898 3.3% 24
7 Crowley, Joseph 90,127 13.6% 22 11,194 2.7% 20 6,019 3.9% 18
8 Nadler, Jerrold 89,947 13.6% 23 9,627 2.1% 26 4,973 4.2% 14
9 Weiner, Anthony 106,371 16.1% 17 9,897 2.4% 22 4,386 3.1% 26
10 Towns, Edolphus 71,513 10.8% 27 10,901 2.7% 19 7,177 3.6% 21
11 Owens, Major 63,525 9.6% 28 8,740 2.1% 27 5,370 3.0% 27
12 Velázquez, Nydia 71,955 10.9% 26 10,198 2.4% 23 5,583 3.3% 25
13 Fossella, Vito 107,479 16.2% 15 14,843 3.6% 11 7,260 4.6% 10
14 Maloney, Carolyn 97,068 14.7% 19 8,414 1.7% 28 3,494 4.0% 17
15 Rangel, Charles 85,121 12.9% 24 12,422 2.9% 18 6,052 3.8% 19
16 Serrano, José 62,319 9.4% 29 11,568 3.0% 16 7,787 3.4% 22
17 Engel, Eliot 94,616 14.3% 21 10,129 2.5% 21 5,944 3.4% 23
18 Lowey, Nita 106,466 16.1% 16 8,647 2.1% 25 4,701 2.9% 28
19 Kelly, Sue 105,057 15.9% 18 12,879 3.1% 14 7,926 4.4% 11
20 Sweeney, John 129,133 19.5% 2 16,202 4.0% 6 8,203 5.1% 5
21 McNulty, Michael 121,383 18.3% 8 15,051 3.7% 10 7,576 4.9% 7
22 Hinchey, Maurice 119,744 18.1% 10 17,003 4.1% 5 8,408 5.3% 3
23 McHugh, John 117,746 17.8% 11 17,328 4.2% 4 8,387 5.0% 6
24 Boehlert, Sherwood 128,438 19.4% 3 17,187 4.3% 3 9,393 5.8% 1
25 Walsh, James 126,258 19.1% 4 15,331 3.8% 7 8,283 4.8% 8
26 Reynolds, Thomas 121,574 18.4% 7 12,949 3.2% 13 6,485 4.0% 16
27 Higgins, Brian * 144,424 21.8% 1 17,795 4.5% 2 8,855 5.6% 2
28 Slaughter, Louise McIntosh 121,696 18.4% 6 19,211 4.9% 1 9,053 5.3% 4
29 Kuhl, John "Randy," Jr. * 126,078 19.1% 5 15,124 3.8% 9 7,305 4.4% 12

* = newly elected

Note A: Beneficiary data for at-large districts comes from the state data on social security beneficiaries. There are sometimes small discrepancies between the SSA state data on beneficiaries and the at-large representative data from the SSA congressional district data. To ensure consistency between the state and CD analyses, we have chosen to use the SSA state data for CDs represented by at-large representatives.

Note B: Data for Texas CDs could not be included because the data were impossible to obtain. The reason for this is that Texas redistricted again after the 2000 Census redistricting. As a result, we do not have population data or beneficiary data for Texas CDs that reflects the current geographical breakouts of the redistricted districts.

Note C: State and CD data for minor child beneficiaries are not available. However, total program data for the United States, its territories and other areas are available. To calculate state estimates for minor child beneficiaries, we applied the total program minor child ratios for the disability, survivor, and retirement programs to the number of child beneficiaries in each state. Based on total program numbers, 57.0% of child retirement beneficiaries are minors; 70.4% of child survivor beneficiaries are minors; and 93.0% of child beneficiaries receiving disabled worker benefits are minors. We applied these ratios to the number of child beneficiaries for each program in each state and then calculated beneficiary ratios by dividing the minor child estimates by the number of people in the population under the age of 18. For the CDs, each state's calculated minor child beneficiary ratio was used to then estimate the number of minor child beneficiaries and minor child ratio for each CD in that state. For more information on how the population estimates were calculated, see the AFL-CIO's "Methodology for Analysis on Social Security Beneficiaries by Congressional District", December 21, 2004.

Total Beneficiaries in New York State

Statewide Totals

  • Total Beneficiaries (Dec. 2003)
    3,035,697

  • Total Beneficiary Ratio, 2003
    15.8%

  • Total Beneficiary Ratio Ranking
    32

Disability Benefits Totals

  • Disabled Workers (Dec. 2003)
    371,881

  • Beneficiary Ratio, 2003*
    3.1%

  • Disabled Worker Beneficiary Ratio State Ranking
    28

Estimated Minor Child Beneficiaries**

  • Estimated Minor Child Beneficiaries receiving OASDI benefits
    195,879

  • Estimated Minor Child Beneficiary Ratio, 2003
    4.3%

  • Minor Child Beneficiary Ratio State Ranking
    23

ABOUT THE TOTALS

  • *Note A: The overwhelming majority of disabled workers are 18 to 64. There may be a few disabled workers who are 65 and a few months, but otherwise, it is reasonable to assume that disabled workers are between 18 and 64.

  • **Note B: State data for minor child beneficiaries are not available. However, total program data are available. To obtain state estimates for minor child beneficiaries, we applied the overall program share of child beneficiaries who were minors to the number of child beneficiaries in each state. Based on total program numbers, 57.0% of child retirement beneficiaries are minors; 70.4% of child survivor beneficiaries are minors;and 93.0% of child beneficiaries receiving disabled worker benefits are minors. The beneficiary ratios were calculated by dividing the minor child estimates by the number of people in the population under the age of 18.

  • Note C: Total beneficiaries and total disabled: SSA, OASDI Beneficiaries by State and County, 2003, Table 2. Rank and ratios are AFL-CIO calculations using Census data and SSA beneficiary data. Disabled workers are between 18 and 64.

  • Note D: AFL-CIO calculations for minor child beneficiaries based on national and state SSA beneficiary data and US Census population estimates.