GHAZIABAD - Monthly Record Chart 2016 wise

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📅 SELECT RECORD YEAR

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
DATE MON TUE WED THU FRI SAT SUN
01/01/16
TO
03/01/16		93495818204526
08/01/16
TO
10/01/16		20205696525280
15/01/16
TO
17/01/16		14358747496809
22/01/16
TO
24/01/16		62283429224548
29/01/16
TO
31/01/16		1762**40390592
05/02/16
TO
07/02/16		93270383038657
12/02/16
TO
14/02/16		10667883478888
19/02/16
TO
21/02/16		82146594204626
26/02/16
TO
28/02/16		736008**681717
04/03/16
TO
06/03/16		90062382395893
11/03/16
TO
13/03/16		37948357639535
18/03/16
TO
20/03/16		03950093607311
25/03/16
TO
27/03/16		40945910******
01/04/16
TO
03/04/16		58295272655761
08/04/16
TO
10/04/16		52416460418471
15/04/16
TO
17/04/16		10695746274254
22/04/16
TO
24/04/16		57789712799847
29/04/16
TO
01/05/16		79**8855754057
06/05/16
TO
08/05/16		44166604801072
13/05/16
TO
15/05/16		30208369892500
20/05/16
TO
22/05/16		56885456228633
27/05/16
TO
29/05/16		40161868**9970
03/06/16
TO
05/06/16		64368097339244
10/06/16
TO
12/06/16		13000635325060
17/06/16
TO
19/06/16		51970260790292
24/06/16
TO
26/06/16		844682249427**
01/07/16
TO
03/07/16		10829804315053
08/07/16
TO
10/07/16		43738575719412
15/07/16
TO
17/07/16		43149039390814
22/07/16
TO
24/07/16		84566681946341
29/07/16
TO
31/07/16		7439**96179988
05/08/16
TO
07/08/16		68983282345590
12/08/16
TO
14/08/16		57537058413847
19/08/16
TO
21/08/16		78814287742139
26/08/16
TO
28/08/16		7521881701**62
02/09/16
TO
04/09/16		55595648735604
09/09/16
TO
11/09/16		03742276093698
16/09/16
TO
18/09/16		98329926865619
23/09/16
TO
25/09/16		39184142200154
30/09/16
TO
02/10/16		**040740959245
07/10/16
TO
09/10/16		18064759440018
14/10/16
TO
16/10/16		19485379129854
21/10/16
TO
23/10/16		90801998601294
28/10/16
TO
30/10/16		791473**975216
04/11/16
TO
06/11/16		8887409208201
11/11/16
TO
13/11/16		90296822712766
18/11/16
TO
20/11/16		79563051572228
25/11/16
TO
27/11/16		1299429681**92
02/12/16
TO
04/12/16		09747066433669
09/12/16
TO
11/12/16		20606452228582
16/12/16
TO
18/12/16		46824171591707
23/12/16
TO
25/12/16		99505847766729
30/12/16
TO
01/01/17		71**##########
📊 Weekly Ghaziabad Results for 2016

Ghaziabad Chart Record: Mid-Evening Declarations and Trend Analysis

The Ghaziabad market occupies a central position within the sequential evening lineup, falling directly between the early Faridabad release and the late-night Gali session. This timing makes the Ghaziabad chart a widely consulted reference for observers who track numerical progressions throughout the night. The chart logs every daily two-digit declaration, organizing them into monthly and yearly archives that provide a clear historical perspective.

Data integrity is the foundation of a dependable archive. Because numbers are released rapidly during peak evening traffic, informal aggregators frequently publish incorrect drafts. At Satta Matka Main, every entry is verified against official primary releases before being published to the permanent ledger. This ensures that researchers, analysts, and everyday readers have access to a clean, reliable, and error-free record.

Understanding the Structure and Elements of the Ghaziabad Table

The Ghaziabad chart is organized to present its two-digit values with maximum clarity:

  • Date-Indexed Entries: Every entry matches its corresponding calendar date, ensuring straightforward tracking across month ends and leap cycles.

  • Haruf Segmentation: The two-digit number can be separated into the left digit (tens place) and right digit (units place), enabling users to analyze positional trends over time.

  • Comparative Layout: The layout allows readers to scan down columns to evaluate day-to-day progression or scan across rows to compare trends across identical dates in prior months.

This straightforward format makes the table accessible to both seasoned researchers and newcomers reviewing past numbers.

The Utility of a Verified Ghaziabad History

Maintaining a permanent, structured archive offers several analytical advantages:

  1. Mid-Sequence Benchmarking: Observers often compare Ghaziabad outcomes against preceding Faridabad and subsequent Gali results to evaluate inter-market independence.

  2. Dormancy and Recurrence Tracking: Analysts can calculate the exact number of days a specific two-digit combination has remained absent from the board.

  3. Statistical Parity Checks: Reviewers frequently study the balance of odd, even, high (50-99), and low (00-49) numbers over quarterly spans to measure variance against theoretical probability.

The table is lightweight and uncluttered, delivering historical data clearly and efficiently.