Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Westchester County, NY
Series ID MHICILBNY36119A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 40490
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46972
1994-01-01 .
1995-01-01 50680
1996-01-01 .
1997-01-01 52442
1998-01-01 54208
1999-01-01 55629
2000-01-01 60270
2001-01-01 59079
2002-01-01 59061
2003-01-01 58541
2004-01-01 60370
2005-01-01 69676
2006-01-01 72800
2007-01-01 75467
2008-01-01 76871
2009-01-01 75077
2010-01-01 74678
2011-01-01 74283
2012-01-01 74933
2013-01-01 80137
2014-01-01 80782
2015-01-01 82710
2016-01-01 86427
2017-01-01 87597
2018-01-01 91325
2019-01-01 99798
2020-01-01 98448
2021-01-01 104972
2022-01-01 104422
2023-01-01 110051

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