Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, NY
Series ID MHICILBNY36115A052NCEN
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 24160
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28464
1994-01-01 .
1995-01-01 29273
1996-01-01 .
1997-01-01 30803
1998-01-01 31372
1999-01-01 32978
2000-01-01 34573
2001-01-01 34120
2002-01-01 34298
2003-01-01 35286
2004-01-01 36875
2005-01-01 39907
2006-01-01 40324
2007-01-01 41708
2008-01-01 43489
2009-01-01 42491
2010-01-01 43490
2011-01-01 45496
2012-01-01 47163
2013-01-01 44840
2014-01-01 43780
2015-01-01 47911
2016-01-01 48061
2017-01-01 49060
2018-01-01 51859
2019-01-01 51897
2020-01-01 56022
2021-01-01 57080
2022-01-01 61563
2023-01-01 67409

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