Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carter County, MT
Series ID MHICILBMT30011A052NCEN
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 15206
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19691
1994-01-01 .
1995-01-01 16730
1996-01-01 .
1997-01-01 19239
1998-01-01 17795
1999-01-01 24232
2000-01-01 25781
2001-01-01 26344
2002-01-01 24001
2003-01-01 24452
2004-01-01 26568
2005-01-01 26713
2006-01-01 29606
2007-01-01 26787
2008-01-01 30585
2009-01-01 28532
2010-01-01 30988
2011-01-01 31837
2012-01-01 32261
2013-01-01 35154
2014-01-01 37905
2015-01-01 41740
2016-01-01 42209
2017-01-01 40106
2018-01-01 42627
2019-01-01 43495
2020-01-01 40736
2021-01-01 45610
2022-01-01 45786

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