Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, NY
Series ID MHICILBNY36021A052NCEN
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 24991
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29978
1994-01-01 .
1995-01-01 30961
1996-01-01 .
1997-01-01 33620
1998-01-01 35416
1999-01-01 37016
2000-01-01 39118
2001-01-01 38342
2002-01-01 38471
2003-01-01 38884
2004-01-01 40468
2005-01-01 44096
2006-01-01 47936
2007-01-01 49798
2008-01-01 49349
2009-01-01 45975
2010-01-01 46689
2011-01-01 49308
2012-01-01 48887
2013-01-01 53523
2014-01-01 51882
2015-01-01 55229
2016-01-01 52686
2017-01-01 55634
2018-01-01 61889
2019-01-01 66921
2020-01-01 58113
2021-01-01 63221
2022-01-01 78126

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