Held for a generation. Poor for a generation.
AIMIM has won the old city’s five assembly seats in every election it entered since 1999. The people who live there are still the poorest in Hyderabad.
Bahadurpura, Chandrayangutta, Charminar, Malakpet, Yakutpura. AIMIM has led twenty-six of the twenty-eight contests held in these seats since 1999 — every one it entered — and has held all five without a break since 2009.
Over that same generation these have stayed the poorest neighbourhoods in their own district. Half the cooking gas, half the internet, a third of the car ownership. Fewer people in work — 37% against 44% — and far fewer women in work. In Charminar’s poorest ward, one household in fifty had internet. In Ameerpet, across town, one in two.
The problem is work and income. It is not slums: the share of people in listed slums matches the rest of the city. It is not services: water, drainage and bathrooms are at full coverage. Fewer people have work, far fewer women have work, and the things income buys are scarce — in ordinary, legal houses with every service connected.
Where the old city has caught up since 2011, national schemes did it. Ujjwala closed the cooking-gas gap and Jan Dhan almost certainly closed the banking gap; both reached every ward in India at once, so the catch-up says nothing about local performance. We also ran the standard causal test of whether AIMIM’s wins helped or harmed these places, and it cannot answer: six close contests exist in the party’s entire history. What stands is the record itself: one party for a generation, in neighbourhoods that still work less and earn less than the city around them.
Every gap is in what income buys or earns. The two biggest were closed by national schemes. What the state builds is level.
Each bar is the size of the 2011 gap between the old city and the rest of the district, in percentage points on one shared scale; hollow bars mark gaps that have closed since, per NFHS-5 (2019–21). Typical (median) ward values across 108 wards, Census 2011; work and literacy from the ward census tables, slum share from GHMC’s survey. Every filled gap passes a formal significance test (p ≤ 0.001). Full method and tests in the full analysis and the methodology page.
Twenty-eight contests. AIMIM led twenty-six.
Each cell shows the leading party’s vote share in that seat and year.
53.2
52.1
The two exceptions are both Malakpet, in cycles AIMIM sat out. Since 2014 the party’s share has fallen in four of the five seats — furthest in Yakutpura, where 2023 was nearly a tie with MBT (32.9% to 32.2%) on the district’s lowest turnout. AIMIM still holds every seat, with smaller margins than a decade ago.
AIMIM’s share by seat, 1999–2023
Bahadurpura begins in 2009, its first contest after the 2008 delimitation created the seat; that year the runner-up was CPI, at 9.4%. Malakpet begins in 2009 too, the first cycle AIMIM contested it. A gap in a line means the party did not contest, not zero.
A few kilometres apart, in the same city.
Two ways of seeing the same gap: a rich ward and a poor ward side by side, and then the single ward that carries the whole pattern.
| % of households / people | Charminar ward 39 (old city) | Ameerpet ward 99 |
|---|---|---|
| Computer with internet | 2.3 | 47.5 |
| Car / jeep / van | 1.6 | 44.3 |
| Avails banking | 18.9 | 86.4 |
| Literate, age 7+ | 79.8 | 90.5 |
| Working, age 7+ | 32.8 | 45.7 |
| Treated tap water | 99.7 | 99.0 |
| Closed drainage | 100.0 | 99.6 |
Charminar ward 39 has fuller piped-water and drainage coverage than Ameerpet ward 99, and one-twentieth the internet access. The Jubilee Hills and Khairatabad wards sit at Ameerpet’s level. And this comparison flatters the old city: HITEC City and Gachibowli are in Ranga Reddy district, outside these 108 wards entirely.
Poor households, well-served network, ordinary housing. The whole pattern in one ward — which also has the district’s lowest female literacy.
The old city is not uniform. Ward 73 in Asifnagar banks like Jubilee Hills, and the district’s worst-served ward on water and drainage is ward 1 in Musheerabad, outside the old city. The pattern holds across 52 wards, not because every ward fits it.
Compare any two wards.
The census last counted these things ward by ward in 2011, and nothing has counted them since — the 2021 census was never held. The default view below carries each line as far forward as the evidence goes: cooking gas to NFHS-5’s measured 2019–21 coverage, banking to a stated post–Jan Dhan assumption, services held at their already-full levels, and every line with no newer measurement labelled “2011 — latest” rather than quietly presented as current. The switch shows the raw 2011 census instead. Nothing supports a 2026 number for any of them.
Values are percentages of households, or of people aged seven and over for reading and work. Ward numbers follow the census tables; wards are labelled by their mandal since the census gives no ward names. Slum shares come from GHMC’s survey and are unavailable for the nine Cantonment and Osmania University wards. The gap column is first ward minus comparison, in percentage points — a difference between two wards, with no statistical test implied.
The problem is work and income. Three other explanations fail.
Start with what the data actually shows. Only about a third of old-city residents have work of any kind — 37%, against 44% in the rest of the district. Among women it is 18% against 25%. This is the biggest and most reliable difference in all the data, and it is not because the old city has more children — the gap is the same when you count only adults. People who earn less own less, and that is the rest of the pattern: less cooking gas, less banking, less internet, fewer vehicles. Reading and writing are only a few points behind, so basic schooling is not the wall.
Why do fewer people work? Ward data cannot separate the causes, but it can name the candidates: schooling that stops early even where basic literacy is close; few formal jobs within reach of these neighbourhoods; weak access to credit for the self-employed; discrimination in hiring; and norms that keep much of women’s work unpaid and at home. Which of these binds, and how hard, is the open question — and the one worth putting to anyone who represents these seats. What the same data rules out is below.
“The old city was denied services”
The Census refutes this directly. Treated tap water 97.1% against 97.4%, closed drainage 98.4% against 97.5%, bathrooms 98.9% against 99.0% — no difference significant, drainage slightly favouring the old city. And the finding cannot have decayed since 2011: both halves were already at 94–99%, coverage that high has nowhere to fall, and NFHS-5 puts the whole district at 99.6% improved water and 99.9% electricity by 2019–21.
“It’s the slums”
The share of people in GHMC-listed slums is statistically the same inside the old city as outside it — medians 20.5% against 19.7%, p = 0.61. The city’s slum concentrations sit along the Musi and in the north-west. Old-city poverty lives in ordinary, legal, serviced housing, which is precisely what makes it harder to explain away.
“Things must have improved since 2011”
Two gaps did close. NFHS-5 records 99.5% of district households on clean cooking fuel by 2019–21, so the 21-point gas gap is gone; with 84% of Telangana’s women holding their own bank account after Jan Dhan, the banking gap has almost certainly gone too. Both were closed by national schemes that reached every ward in India at once, so they are not evidence of local development — and the 2011 shortfalls were not evidence of local neglect. The gaps with no scheme behind them — work, internet, vehicles — have not been measured at ward level since, and there is no reason to assume they closed.
Every measure is a rate — a share of households or of people, never a total — so the comparison is per-capita throughout. Ward medians; all panels share one 0–100% scale; work and literacy use the age-7+ population so the old city’s younger age profile cannot depress its rates mechanically. Significance is a two-sided Mann–Whitney U on the ward distributions. n.s. = not significant (p from 0.07 to 0.90).
What this shows, and what it cannot.
The box below is the strongest causal test we could run, and what it found. Then two lists: what the data shows, and what it does not.
Whether AIMIM’s wins helped or harmed these places cannot be shown from public data. Running the test is what shows it.
The idea: compare places a party barely won with places it barely lost — near the line, winning is close to a coin flip, so any later difference should be the winning itself. Run on every AIMIM assembly contest in the country (TCPD results via SHRUG), with satellite night-light growth as the outcome. The raw comparison points to slower growth after bare wins, but it fails the permutation test and is confounded: all three bare wins — Byculla, Dhule City, Nampally — are dense city cores three times brighter at baseline than the losses, and bright places grow slower in lights for sensor reasons unrelated to who won. Full working in the full analysis; data in AIMIM-CONTESTS-1999-2022.csv and AIMIM-CLOSE-CONTESTS-LIGHTS.csv.
Shown
One party has led every contest it entered in these seats across six elections, and held all five seats continuously since 2009.
The same neighbourhoods are far behind the rest of their district on work, income and assets, modestly behind on literacy, and level on services and slum housing. Every claim is tested ward by ward.
The only gaps that have closed since 2011 were closed by national schemes, delivered everywhere at once.
The officeholders left their discretionary funds substantially unspent — the one failure in this analysis that is directly theirs. The Hyderabad MP used about ₹7 crore of a ₹25 crore entitlement in the 16th Lok Sabha and completed 8 of 69 recommended works in the 17th, while keeping a strong record in the House itself. The city’s BJP and TRS legislators under-spent their funds too.
Not shown
Proving that needs places that differed in who represented them, and there are almost none: the party lost nothing it entered. Poverty also shapes voting as much as voting shapes poverty, and nothing here says which way the arrow runs.
Urban services run through the corporation, the state and central schemes; through this whole period the state and GHMC were held by TDP, Congress, then TRS/BRS. This weakens blame and credit alike.
The full MP entitlement is ₹25 crore over five years, in a constituency of about twenty lakh electors — roughly ₹250 a head for the whole term, spent on small works like water points and CC roads. Leaving it unspent is a real failure, and it is too small to explain, or to have fixed, a deficit measured in jobs and income. Both things are true.
| Officeholder | Party | Fund | Used |
|---|---|---|---|
| Hyderabad MP (16th Lok Sabha, 2014–19) | AIMIM | ₹25 cr entitlement | ₹7.1 cr (~28%) |
| Hyderabad MP (17th Lok Sabha, 2019–24) | AIMIM | ₹15.5 cr released | ₹8.8 cr; 8 of 69 works done |
| All 16 Hyderabad-city MLAs (2017–18) | all parties | ₹36 cr released | under ₹10 cr |
| Lowest five city MLAs that year | AIMIM ×2, BJP ×2, TRS ×1 | ₹3 cr each | under ₹0.5 cr each |
Under-spending the constituency funds is a cross-party habit in Hyderabad, not an AIMIM one: the five lowest-spending city legislators in 2017–18 included BJP’s K. Laxman and G. Kishan Reddy and TRS minister Talasani Srinivas Yadav alongside AIMIM’s two old-city MLAs. A full MP-by-MP, party-by-party MPLADS table cannot yet be built from public sources: the government portal publishes MP-wise detail only from 2023–24, and its older summary pages were unreachable when this was compiled (August 2026). Sources: Citizen Matters and Siasat (from MPLADS data); Deccan Chronicle (Telangana CDP).
So the claim that survives every check in this repository is this one:
One party has represented the old city for a generation. Its people still work less and earn less than the rest of their district, in legal, fully serviced neighbourhoods — and the only gaps that closed were closed by national schemes.
The 2008 boundary redraw remains the one untried design, blocked on a ward crosswalk that is not public; it is set out in the full analysis with the officeholder record and its sources, and leads the roadmap.
The data behind every number.
Five public datasets sit behind this site, all downloadable below. This page says how current each one is, what to be careful of when quoting it, and gives the full election table.
| Dataset | Covers | Is anything newer available? |
|---|---|---|
| Election results, five seats | 1999–2023 | No — 2023 was the most recent assembly election. Electorate and valid-vote counts run to 2018, the latest in the TCPD file; 2023 turnout is from ECI figures as press-reported. |
| Ward census: amenities, literacy, work | 2011 | No — the 2021 census was never conducted; the next is expected around 2027. This is the latest ward-level data in existence. |
| NFHS-5 district health survey | 2019–21 | No — the latest published district factsheets. Used here to check which 2011 gaps have since closed. |
| GHMC slum survey | early 2010s | No public update; the survey year is not stated in the file. |
| MP and MLA fund figures | to Aug 2026 / 2017–18 | The MPLADS portal revises as bills post, and publishes MP-wise detail only from 2023–24 onwards. |
| Causal test: national elections and night lights | to 2022 / 2021 | Partly — the 2023 Telangana and 2024 Maharashtra elections are not yet in the research file used and could add close contests. |
Nothing on this site is projected forward. Where a 2011 number is known to have changed — cooking gas, banking — the site says so and says how it knows. Everything else is reported as of the date it was measured.
Before quoting the numbers
- Two sources feed the election table. Vote shares come from ECI results cross-checked against Wikipedia and IndiaVotes. The 2009 Bahadurpura row and the turnout, electorate and valid-vote figures come from the TCPD results file (via SHRUG); its full candidate list confirms that TDP, MBT and TRS did not contest that seat that year, and that the runner-up was CPI at 9.43% — a party outside the six columns, which is why the row’s shares sum well short of 100.
- Rows do not sum to 100%. No column for independents or NOTA; the residual has a median of 3.6 points, and reaches 15.9 in 2009 Bahadurpura, where the runner-up was CPI. A blank is “did not contest”, not zero. Figures are good to about ±1 point.
- Mandals are not constituencies, and the 2008 delimitation redrew boundaries, so pre- and post-2009 rows are not the same geographies.
- Census 2011 is one time point. Levels, not change; no controls for density, housing age or land title. Female work participation reflects norms as well as opportunity, and one result runs against a uniform-deprivation reading: the male–female literacy gap is smaller in the old city.
- The slum figures are administrative (GHMC-listed, vintage unstated) and the NFHS-5 figures are confirmed against the official IIPS district factsheet, a copy of which is in Docs/.
| Year | Constituency | AIMIM | TDP | MBT | INC | BJP | TRS/BRS | Turnout |
|---|
Sources
Elections: Election Commission of India constituency results, cross-checked against Wikipedia and IndiaVotes; the 2009 Bahadurpura row and the turnout and electorate columns from TCPD results via SHRUG v2; cross-check table and denominator note in the data notes.
Wards: Census of India 2011 — Houselisting table HH-14 and the ward Primary Census Abstract, via OpenCity; GHMC slum survey via the same platform, join validated geographically.
Since 2011: NFHS-5 (2019–21) district and state factsheets, IIPS.
Officeholders: MPLADS portal figures as press-reported (Citizen Matters; Siasat, August 2026); PRS Legislative Research; Deccan Chronicle (Telangana CDP, 2017–18).
Causal test: TCPD election results and VIIRS night lights by constituency, via SHRUG v2 (Development Data Lab), Harvard Dataverse doi:10.7910/DVN/DPESAK.