Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pondera County, MT
Series ID MHICILBMT30073A052NCEN
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 21838
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22629
1994-01-01 .
1995-01-01 24333
1996-01-01 .
1997-01-01 24936
1998-01-01 23474
1999-01-01 26452
2000-01-01 28192
2001-01-01 27196
2002-01-01 27007
2003-01-01 27480
2004-01-01 28112
2005-01-01 28393
2006-01-01 29398
2007-01-01 31921
2008-01-01 32192
2009-01-01 31663
2010-01-01 31768
2011-01-01 33502
2012-01-01 34089
2013-01-01 37206
2014-01-01 35392
2015-01-01 37132
2016-01-01 35947
2017-01-01 38159
2018-01-01 38198
2019-01-01 43415
2020-01-01 44689
2021-01-01 42225
2022-01-01 44985

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