Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Suffolk County, NY

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Suffolk County, NY
Series ID MHICIUBNY36103A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 45078
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 49334
1994-01-01 .
1995-01-01 54178
1996-01-01 .
1997-01-01 55875
1998-01-01 56381
1999-01-01 59440
2000-01-01 64685
2001-01-01 64959
2002-01-01 66852
2003-01-01 66852
2004-01-01 68858
2005-01-01 78238
2006-01-01 78099
2007-01-01 84736
2008-01-01 86863
2009-01-01 85102
2010-01-01 82546
2011-01-01 85359
2012-01-01 87293
2013-01-01 86468
2014-01-01 87427
2015-01-01 89693
2016-01-01 94365
2017-01-01 96308
2018-01-01 101579
2019-01-01 107838
2020-01-01 111629
2021-01-01 115341
2022-01-01 121514

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