Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New York

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New York
Series ID MHICILBNY36000A052NCEN
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 1:11 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 30344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31716
1994-01-01 .
1995-01-01 32782
1996-01-01 34526
1997-01-01 35200
1998-01-01 36984
1999-01-01 39908
2000-01-01 40369
2001-01-01 41930
2002-01-01 41447
2003-01-01 42842
2004-01-01 44132
2005-01-01 48953
2006-01-01 51088
2007-01-01 53103
2008-01-01 55603
2009-01-01 54164
2010-01-01 53677
2011-01-01 54754
2012-01-01 55989
2013-01-01 56828
2014-01-01 58381
2015-01-01 60500
2016-01-01 62081
2017-01-01 64283
2018-01-01 67021
2019-01-01 71588
2020-01-01 72798
2021-01-01 73620
2022-01-01 78750

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