Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rensselaer County, NY
Series ID MHICILBNY36083A052NCEN
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 27709
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33417
1994-01-01 .
1995-01-01 34026
1996-01-01 .
1997-01-01 36598
1998-01-01 37644
1999-01-01 38461
2000-01-01 40956
2001-01-01 40496
2002-01-01 41012
2003-01-01 41583
2004-01-01 42680
2005-01-01 44684
2006-01-01 49879
2007-01-01 48891
2008-01-01 51438
2009-01-01 50948
2010-01-01 49316
2011-01-01 53879
2012-01-01 56932
2013-01-01 53685
2014-01-01 56685
2015-01-01 57509
2016-01-01 59077
2017-01-01 60273
2018-01-01 69369
2019-01-01 67575
2020-01-01 66328
2021-01-01 69299
2022-01-01 74376

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