Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Newton County, IN
Series ID MHICILBIN18111A052NCEN
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 1:54 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 25167
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30956
1994-01-01 .
1995-01-01 31254
1996-01-01 .
1997-01-01 33755
1998-01-01 35267
1999-01-01 37226
2000-01-01 38602
2001-01-01 38342
2002-01-01 38204
2003-01-01 38366
2004-01-01 41028
2005-01-01 43311
2006-01-01 45222
2007-01-01 42109
2008-01-01 44455
2009-01-01 44257
2010-01-01 43784
2011-01-01 40245
2012-01-01 45689
2013-01-01 50439
2014-01-01 47239
2015-01-01 44199
2016-01-01 46876
2017-01-01 53416
2018-01-01 47883
2019-01-01 55317
2020-01-01 51154
2021-01-01 54453
2022-01-01 58508

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