Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Steuben County, NY
Series ID MHICILBNY36101A052NCEN
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 1:12 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 24954
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28349
1994-01-01 .
1995-01-01 30270
1996-01-01 .
1997-01-01 30876
1998-01-01 32164
1999-01-01 33014
2000-01-01 34545
2001-01-01 33714
2002-01-01 33486
2003-01-01 34150
2004-01-01 35735
2005-01-01 36645
2006-01-01 39759
2007-01-01 39542
2008-01-01 41203
2009-01-01 41013
2010-01-01 43035
2011-01-01 41382
2012-01-01 43766
2013-01-01 43995
2014-01-01 44870
2015-01-01 44604
2016-01-01 47754
2017-01-01 48197
2018-01-01 52231
2019-01-01 50910
2020-01-01 50178
2021-01-01 54134
2022-01-01 57296

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